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Economics research CEPR, 27 may 2010

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Page 1: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

www.cepr.org

Centre for Economic Policy Research53-56 GREAT SUTTON STREET • LONDON EC1V 0DG • TEL: +44 (0)20 7183 8801 • FAX: +44 (0)20 7183 8820 • EMAIL: [email protected]

With the return to economic growth of many industrialised economies ineither late 2009 or the first half of 2010, combined with sustained expansionsin the emerging market economies, came the hope that protectionist pressures would ease in the world economy through 2010. If anything, theperiod since our last report was published in January 2010 has been one of thebusiest for the Global Trade Alert team.

Nothing short of a mountain of evidence has been uncovered in recentmonths concerning state measures announced after the start of our reportingwindow, November 2008. A total of 247 new reports on implemented orannounced and pending state measures have been added to the Global TradeAlert database since our last report was published, expanding the total number of reports to 960. This 40% expansion in the GTA's database providesfor a more comprehensive assessment of contemporary protectionism and, as this Report makes clear, some of our previous findingshave been revised.

Like our two previous reports, the fifth Report also has a regional focus. Thistime our focus is on Sub-Saharan Africa, whose development significance isevident. What may be less well known is that Sub-Saharan African govern-ments have not resorted to protectionism on the scale of industrialised countries and some developing country peers during the recent global economic downturn. Sub-Saharan Africa is also the recipient of preferentialaccess to the markets of many industrialised countries. This Report containstwo papers on the likely reforms to the United States and European Uniontrade preference regimes and their potential implications for Sub-SaharanAfrica. These papers will also be of interest to those following the West's policies towards Sub-Saharan Africa.

Africa Resists theProtectionist Temptation

The 5th GTA Report

A Focus on Sub-Saharan Africa

Edited by Simon J. Evenett

Africa Resists the Protectionist Temptation The 5th G

TA Report

GTA5_cover.qxp 26/05/2010 13:20 Page 1

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Africa Resists the ProtectionistTemptation

The 5th GTA Report

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Centre for Economic Policy Research (CEPR)

Centre for Economic Policy Research2nd Floor53-56 Great Sutton StreetLondon EC1V 0DGUK

Tel: +44 (0)20 7183 8801Fax: +44 (0)20 7183 8820Email: [email protected]: www.cepr.org

© Centre for Economic Policy Research 2010

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Africa Resists the ProtectionistTemptation

The 5th GTA Report

Edited by Simon J. Evenett

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About Global Trade Alert (GTA)

Global Trade Alert provides information in real time on state measures taken during the currentglobal economic downturn that are likely to discriminate against foreign commerce. GlobalTrade Alert is:

Independent: GTA is co-ordinated by the Centre for Economic Policy Research, an independentacademic and policy research think-tank based in London, UK. GTA draws upon expertise andanalysis from 7 independent research institutions around the world.

Comprehensive: GTA complements and goes beyond the WTO and World Bank's monitoringinitiatives by identifying those trading partners likely to be harmed by state measures.

Accessible: The GTA website allows policy-makers, exporters, the media, and analysts to searchthe posted government measures by implementing country, by trading partners harmed, andby sector. Third parties will be able to report suspicious state measures and governments will begiven the right to reply to any of their measures listed on the website.

Transparent: The GTA website allows policymakers, government officials, exporters, the media,and analysts to report discriminatory measures, but also will provide data for all stakeholderson the posted government measures by implementing country, by trading partners harmed,and by sector.

Timely: The up-to-date information and informed commentary provided by Global Trade Alertwill help ensure that the G20 pledge not to "repeat the historic mistakes of protectionism of pre-vious eras" is met, by maintaining confidence in the world trading system, deterring beggar-thy-neighbour acts, and preserving the contribution that exports could play in the future recoveryof the world economy.

For further information, visit www.GlobalTradeAlert.org

About the Centre for Economic Policy Research (CEPR)

The Centre for Economic Policy Research is a network of over 700 Research Fellows andAffiliates, based primarily in European universities. The Centre coordinates the research activi-ties of its Fellows and Affiliates and communicates the results to the public and private sectors.CEPR is an entrepreneur, developing research initiatives with the producers, consumers andsponsors of research. Established in 1983, CEPR is a European economics research organizationwith uniquely wide-ranging scope and activities.

The Centre is pluralist and non-partisan, bringing economic research to bear on the analysis ofmedium- and long-run policy questions. CEPR research may include views on policy, but theExecutive Committee of the Centre does not give prior review to its publications, and theCentre takes no institutional policy positions. The opinions expressed in this report are thoseof the authors and not those of the Centre for Economic Policy Research.

CEPR is a registered charity (No. 287287) and a company limited by guarantee and registered inEngland (No. 1727026).

Chair of the Board Guillermo de la DehesaPresident Richard PortesChief Executive Officer Stephen YeoResearch Director Mathias DewatripontPolicy Director Richard Baldwin

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Contents

Foreword vii

Executive Summary 1Simon J. Evenett

Section 1: Crisis-related Discrimination Against ForeignCommercial InterestsA Global Overview of Protectionism through to May 2010 19Simon J. Evenett

Section 2: Sub-Saharan Africa, Commercial PolicyDiscrimination and the Global Economic DownturnEffects of Post-Crisis Foreign Trade Policy Measures on Economic and 35Trade Performance in AfricaEric Kehinde Ogunleye

Impact of the Global Financial Crisis on Trade and Economic 49Policy Making in AfricaFelix Fofana N’Zue

Transforming Africa’s Structure and Composition of Trade after the 63Global Economic CrisisNana Amma Afari-Gyan

Towards More Balanced Trade within the Framework of the Forum for 75China-Africa Cooperation: The Impact of China on Africa’s TradeSarah Jane Danchie

How Much Did Africa’s Top Exports Fall During the Crisis? 93A Comparison with East Asia and AfricaMartin Wermelinger

US Trade Policy Towards the Least Developed Countries: 103Are these Countries’ Interests Congruent or in Conflict?Craig vanGrasstek

Reform of the EU GSP Regime and its Potential Impact on Sub-Saharan 113AfricaMalwina Nowakowska

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Section 3: Country-by Country ReportsAngola 139Benin 142Botswana 145Burkino Faso 148Cameroon 151Cape Verde 154Central African Republic 157Chad 160Comoros 163Congo 166Democratic Republic of The Congo 169Cote d’Ivoire 172Eritrea 176Ethiopia 179Gabon 183Gambia 186Ghana 189Guinea 193Guinea-Bissau 196Kenya 199Lesotho 203Liberia 206Madagascar 209Malawi 213Mali 216Mauritania 219Mauritius 222Mayotte 225Mozambique 228Namibia 231Niger 234Nigeria 238Rwanda 243Sao Tome and Principe 246Senegal 249Seychelles 253Sierra Leone 256Somalia 259South Africa 262Sudan 266United Republic of Tanzania 269Togo 272Uganda 276Zambia 280Zimbabwe 284

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Global Trade Alert is now almost a year old. Over the past year it has received 960reports of state measures taken during the global downturn that are likely to affectforeign commerce. The flow of reports about these measures shows no signs of abat-ing: we have received 247 reports since the publication of the fourth GTA Report inJanuary 2010. Each report is carefully scrutinized by our independent team of tradepolicy analysts based around the globe before it is published on the GTA website. TheGTA team has concluded that 496 'beggar thy neighbour' measures have been intro-duced since November 2008. Almost a third (31%) involve bailouts and state aids: sur-prisingly, many of these are not in the financial sector but instead in smokestack,declining industries or in agriculture. Anti-dumping, anti-subsidy and safeguardmeasures are also popular, and represent 20% of the measures. There is a glimmer ofgood news, however: tariffs are becoming less important, and only represent 12% ofthe measures introduced. There is other good news as well: the ratio of 'beggar thyneighbour' to liberalizing measures has fallen recently, and was less than three to onein the latest reporting period.

This report, the fifth produced by the GTA team over the past year, examines the'global dynamics' of protectionism: whether a return to growth has altered govern-ments' tendencies towards protectionism, and the extent, nature and possible harmdone by discriminatory state measures taken since November 2008.

Like its two predecessors, this GTA report has a regional focus, this time on Sub-Saharan Africa. The report includes seven papers on the commercial policy challengesfacing Sub-Saharan Africa. First, there are three papers on Africa's trade relations withits leading trading partners: China, the European Union, and the United States. Thisis followed by detailed information on each nation in Sub-Saharan Africa: the extentto which its commercial interests have been harmed by the actions of other countries,and the extent to which measures it has introduced have affected its trading partners.

On Sub-Saharan Africa, there is some encouraging news: governments in thatregion have not resorted to protectionism on the scale of industrialised countries andsome of their developing country peers. If anything, governments in Sub-SaharanAfrica have continued to pursue policies of openness, intensifying their drive toattract foreign direct investment (FDI) through changes to tax, investment, and otherpolicies designed to lure foreign firms.

At the global level, however, the picture is still mixed: a few rays of sunshine break-ing through a sombre background. The G20 countries are typical. To their credit, theyimplemented 33 of the 41 benign or liberalising measures discovered since the lastGTA report was published in January 2010. On the other hand, since we published

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Foreword

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our report, we have discovered 96 more discriminatory measures implemented byG20 countries: a 40% increase!

So the evidence we have from the GTA database suggests the importance of con-tinued vigilance. Such vigilance would not be possible without Simon Evenett andthe unbounded energy and enthusiasm he has shown in leading GTA initiative.Thanks are also due to his hard-working team at the Swiss Institute for InternationalEconomics and Applied Economic Research in St. Gallen, who prepared the summa-ry tables and maps and provided general research support – namely, Johannes Fritz,Darya Gerasimenko, Malwina Nowakowska, and Martin Wermelinger. CEPR'sPublications Team – Anil Shamdasani and Samantha Reid, provided invaluable sup-port, as ever. The task of collecting and analysing the data has been conducted veryefficiently and professionally by GTA's regional network partners, notably, the AfricanCentre for Economic Transformation (ACET), the Centre for InternationalGovernance Innovation (CIGI), the Gulf Research Center (GRC), the Latin AmericanTrade Network (LATN), and the Research and Information System for DevelopingCountries (RIS). We also owe thanks to GTA's supporters: the Centre for InternationalGovernance Innovation, the German Marshall Fund of the United States, theInternational Development Research Center, the Trade Policy Unit of the UKDepartment for Business, Innovation and Skills and the Department for InternationalDevelopment. In particular we would like to acknowledge financial support from theGlobal Trade and Financial Architecture project (an initiative of the UK Departmentfor International Development and the World Bank). Indeed, the support from all ourpartners has been generous and most welcome, but they of course play no role in theoperation of GTA, nor do they necessarily endorse the opinions expressed in thisReport.

We have been very much encouraged by the overwhelmingly positive reaction toGlobal Trade Alert from the world's media, policymakers and the international tradecommunity in general. This response has convinced us that an independent initiativesuch as GTA is necessary, valuable and can sit comfortably alongside, and comple-ment, other such monitoring initiatives that are taking place around the world. Inthis spirit, we trust that the contents of this report, and the ongoing work of GTA, willcontinue to be of interest to trade policymakers, commercial organisations, NGOsand analysts following developments in the world trading system.

Stephen YeoChief Executive Officer, CEPRLondon, 26 May 2010

Africa Resists the Protectionist Temptation: The 5th GTA Report

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Revisiting contemporary protectionism on the basis of a far greaterevidential base

With the return to economic growth of many industrialised economies in either late2009 or the first half of 2010, combined with sustained expansions in the emergingmarket economies, came the hope that protectionist pressures would ease in theworld economy through 2010. If anything, the period since our last report was pub-lished in January 2010, has been one of the busiest for the Global Trade Alert team.

Nothing short of a mountain of evidence has been uncovered in recent monthsconcerning state measures announced after the start of our reporting window,November 2008 (corresponding to the date of the first crisis-related G20 summit heldin Washington DC.) A total of 247 new reports on implemented or announced andpending state measures have been added to the Global Trade Alert database since ourlast report was published, expanding the total number of reports to 960. This 40 per-cent expansion in the GTA's database provides for a more comprehensive assessmentof contemporary protectionism and, as will become clear, some of our previous find-ings have had to be revised accordingly.

The purpose of this fifth report of the Global Trade Alert is to provide an overviewof the state measures taken during the current global economic downturn and nas-cent recovery1 that might affect international commerce. The principal findings ofthe report are summarised below and a global overview of contemporary commercialpolicies is provided in the next chapter.

Like our two previous reports, this report also has a regional focus. This time ourfocus is on Sub-Saharan Africa, whose development significance is evident. What maybe less well known is that Sub-Saharan African governments have not resorted to pro-tectionism on the scale of industrialised countries and some developing country peersduring the recent global economic downturn (see Map 1.1). Indeed, the contest forforeign direct investment (FDI) appears to be in full swing in Sub-Saharan Africa, with

Executive Summary

Simon J. EvenettUniversity of St. Gallen and CEPR

1

1 The recent downturn in business sentiment in Europe and the dislocation in the financial markets asso-ciated with the solvency of certain Eurozone governments are discussed in the next chapter. Should theworld economy ultimately succumb to another bout of contraction then the past six months may wellhave been a lull before the storm, with attendant implications for the corporate demand for protectionfrom foreign competition. The Global Trade Alert does not make macroeconomic forecasts, instead itsteam stands ready to monitor the potential cross-border implications of state measures taken over thecoming months irrespective of macroeconomic conditions.

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governments making repeated changes to tax, investment, and other policies to lureforeign firms to establish facilities.2

Sub-Saharan Africa is also the recipient of preferential access to the markets ofmany industrialised countries. This report contains two papers on the likely reformsto the United States and European Union trade preference regimes and their poten-tial implications for Sub-Saharan Africa. These papers will, therefore, also be of inter-est to those following the West's policies towards Sub-Saharan Africa.

A contribution to policy dialogue through independent monitoring ofstate measures

Global Trade Alert (GTA) has always operated on the assumption that in current cir-cumstances the most practical approach to resisting protectionism is to combine peerpressure with high-quality, current information about state measures and their actu-al or potential effects on foreign commercial interests. Governments, the media, andcivil society are the key sources of the former; the job of Global Trade Alert and othermonitoring exercises is to provide the latter.

An assessment as to the extent and changes over time in protectionist dynamics isalso provided for in this Report, by considering not just the quarter-by-quarterchanges in the numbers of protectionist measures implemented but also the numberof pending measures that have been announced and are expected to implemented inthe future. Information on the pending measures provides policymakers with an"early warning" of what is to come, a feature unique to the GTA's monitoring initia-tive.

Principal findings of the Fifth Report concerning crisis-eraprotectionism

The substantial expansion in the GTA's database permitted a re-evaluation of the keyaspects of crisis-era protectionism. Below is our latest assessment of these dynamics.

1. Since the first G20 crisis-related summit in November 2008, the governments ofworld have together implemented 496 beggar-thy-neighbour policy measures;that is, more than one for every working day. Add in another 86 implementedmeasures that are likely to have harmed some foreign commercial interests, thetotal reaches 582; that is, more than one for every actual day since the first G20summit in November 2008.

a. Of those 247 new entries in the Global Trade Alert, 131 governmentmeasures been implemented that almost certainly discriminated againstforeign commercial interests. The total number of implemented (almost)discriminatory measures in the Global Trade Alert database rose then to 496measures, just over half of the total number of reports (960).

Africa Resists the Protectionist Temptation: The 5th GTA Report

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2 Some of the best evidence for this sustained policy of openness can be found in the budget speeches ofvarious finance ministers from Sub-Saharan Africa over the past two years.

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b. Since our last report was published in January 2010, the number of beggar-thy-neighbour measures reported (131) was less than three times thenumber of benign or liberalising measures reported (53). This ratio wasconsiderably more favourable to market opening than in the previous GTAreports, and constitutes some good news.

2. Since the first G20 crisis-summit, bailouts and state aids are the most frequentsource of discrimination against other nations' commercial interests. Thirty-onepercent of all discriminatory measures were bailouts. By now 96 out of the 166discriminatory state aid/bail out measures in the Global Trade Alert database arein sectors other than the financial sector; many governments have taken theopportunity of the crisis to bail out manufacturers and farmers.

3. Although there are a lot of anti-dumping, anti-subsidy and safeguard measuresin the pipeline, they still account for only 99 of the 496 harmful measuresimplemented since November 2008. The large numbers of discriminatorymeasures reported in the Global Trade Alert database are, therefore, not drivenby so-called unfair trade actions.

4. Relatively speaking tariff measures--the trade barrier most associated with the1930s--continue to decline further in numerical importance. Tariff increasesaccount for only one in eight of the total number of discriminatory statemeasures imposed in the current global economic downturn.

5. No doubt to the embarrassment of those who systematically talked down theincidence of protectionism during 2009, the evidence continues to mount as tothe extent to which governments discriminated against foreign commercialinterests.

a. Since our last report was compiled the GTA team has found evidence ofmore harmful state measures that were imposed in the last quarter of 2008and the first half of 2009. This evidence forces us to revise upward byapproximately 10 percent the number of beggar-thy-neighbour measuresimposed in the first six months of 2009, to at least 115 measures per quarter.

6. By May 2010, no four-digit product line, no UN classified economic sector, andno jurisdiction has emerged unscathed by crisis-era protectionism.

7. Since November 2008 China's commercial interests have been hit 221 times byprotectionist measures. Only if the 27 members of the European Union arecounted together, does any other jurisdiction come close to absorbingcomparable harm (the EU27 group being hit 206 times).

a. There have been substantial increases in the number of times certainjurisdictions' commercial interests have been harmed since the last GTAreport was published in January 2010. Since that last report, everyone of the10 ten targets have been hit by at least another 28 beggar-thy-neighbourpolicies. China has been hit by 60 more measures (the most again), followedby the EU 27 (53 more adverse measures) and the USA (38 more hits).

8. Despite taking their no-protectionism pledge the G20 members have imposed316 beggar-thy-neighbour policies since November 2008. Since our last reportwas published in January 2010, a total of 96 more discriminatory measuresimplemented by G20 countries have been discovered, representing at least a 40percent increase.

Executive Summary

3

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a. The G20 countries also implemented 81 of the 107 benign or liberalisingmeasures recorded in the GTA database. To their credit, 33 of the 41 benignor liberalising measures discovered since the last GTA report was publishedwere implemented by G20 countries.

9. Unlike recent GTA reports, by May 2010 it was not longer the case that theRussian Federation was in the top 5 of offending nations on all four criteria(number of harmful measures implemented, tariff lines affected, sectors affected,or trading partners affected). Now, taken together, the EU 27 has this dubiousdistinction. See Table 1.1. below.

a. On all four metrics, Argentina, China, Indonesia, and Russian Federation arealways in the top 10 worst offending nations.

b. The Russian Federation has the dubious distinction of raising trade barriersagainst the most tariff lines (40 percent of all product categories.) Still,Algeria takes the prize for measures that harm foreign commercial interestsin the largest number of economic sectors; Indonesia for harming the mosttrading partners (165).

c. When nations are ranked by the number of trading partners their statemeasures have harmed, every one of the top-10 worst offenders has hurt thecommercial interests of over 120 nations.

10.In the last GTA report it was stated that only five jurisdictions had takendiscriminatory measures that affected more than a quarter of all the possibletraded product categories; interestingly that number has now risen to nine.3

Still, only six (or five if one does not count the EU 27 as a group) jurisdictionshave taken measures that affect more than a third of all possible productcategories. The latter demonstrates that the across-the-board measures seen inthe 1930s have not been repeated in the recent global economic downturn.

11.Our expansion of the database confirms one long-standing GTA finding: Despiteall the talk about measures to bolster green industries, innovation, and futuregrowth poles of the economy, the great majority of the discrimination is infavour of domestic firms is in smokestack, declining industries and inagriculture.

12.In January 2010 the GTA reported there were 188 suspicious protectionistmeasures in the pipeline4; by May 2010 that total has risen to 237. As in ourprevious reports, if every one of these measures were eventually implemented itwould be equivalent just under half a year's more protectionism.

Africa Resists the Protectionist Temptation: The 5th GTA Report

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3 The Russian Federation, Brazil, Ukraine, EU 27, Indonesia, China, Ecuador, Argentina, and India. SeeTable 2.5 in the next chapter for more details.

4 For the purposes of this report (and the last one) the protectionist pipeline is said to include all thosestate measures that (i) have been publicly announced, (ii) that have yet to be implemented and (iii) uponexamination are likely to harm foreign commercial interests. Such measures are classified amber in theGTA database until implemented, whereupon their classification may change (depending on the detailsabout the potential discriminatory impact available at the time of implementation.)

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Executive Summary

5

Metric, Country in specified rank, Number

Rank Ranked by number of

(almost certainly) discriminatory

measures imposed

Ranked by the number of tariff lines (product

categories) affected by (almost

certainly) discriminatory

measures

Ranked by the number of sectors affected by (almost

certainly) discriminatory

measures

Ranked by the number of trading partners affected

by (almost certainly)

discriminatory measures

1.

EU 27 (140)

Russian

Federation (487) Algeria (54) Indonesia (165)

2. Russian Federation (48) Brazil (440) EU 27 (52) EU 27 (163)

3. Argentina (37) Ukraine (389) Indonesia (31) China (152)

4. Germany (28) EU 27 (371) Ecuador (30) Argentina (145)

5. India (27) Indonesia (346) China (26) India (144)

6.

UK (22) China (335)

Russian Federation

(25)

Russian Federation

(137)

7. Indonesia (20) Ecuador (316) Mexico (24) Belgium (132)

8. China (19) Argentina (299) UK (128)

9. Italy (18) India (282) Germany (124)

10. Austria (17) Belguim (203)

Argentina

Belarus (23)

Belgium France (121)

Table 1.1 Which countries have inflicted the most harm?

Note: There is no single metric to evaluate harm. Different policy measures affect different numbers of products, economic sectors, and trading partners. GTA reports four measures of harm. The EU27 refers to the sum of all of the measures taken by the 27 national governments of the EuropeanUnion and the measures taken by the European Commission. To be included in this total a state measuremust have involved discrimination against the commercial interests of another state, including potentiallyanother member of the European Union.

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How GTA built its extensive database on contemporary protectionism

Since GTA was launched on 8 June 2009 just under 1000 state initiatives have been investigated

by our independent team of trade policy analysts located around the globe. These initiatives

vary from packages of wide-ranging public measures, with many implications for trade and

investment policy instruments, to temporary tariff increases on single product lines. GTA's goal

is to provide the most comprehensive online database of state measures taken since the first

crisis-related G20 summit in November 2008 that might affect foreign commercial interests. The

latter are broadly conceived by the GTA team to include not just trade flows and foreign

investments but also intellectual property rights and migrant workers deployed abroad. It is

through careful, multi-faceted investigations of these initiatives that a rich evidential base was

built, from which the contours of contemporary protectionism can be discerned. Users can

access this evidence at the website: www.globaltradealert.org

One of the most important steps in a GTA investigation is to establish whether the

implementation of a state initiative has, or is likely, to alter the relative treatment of domestic

and foreign commercial interests in the markets where the initiative's effects will be felt. In

common parlance, GTA checks whether a state initiative tilts the playing field against foreign

firms. GTA, therefore, does not opine on the WTO legality of a measure or whether a measure

is "appropriate," "fair," "reasonable" or "crisis-related" (there being no agreed definitions of these

terms.)

State initiatives that almost certainly (or certainly) introduce or change asymmetries of

treatment to the detriment of some foreign commercial interests are deemed by the Global Trade

Alert to be contrary to the no-protectionism pledges made at the November 2008 G20 summit

in Washington, DC, and London summit in April 2009. In this Executive Summary, the phrases

discriminatory and protectionist are used synonymously.

Without attempts to carefully enumerate the different types of state measures used and their

various effects, any assessment of contemporary protectionism is likely to overlook key trends

and is of diminished value to policymakers. That is why GTA goes beyond providing an

assessment of the discriminatory impact of state initiatives. Examination of the tariff lines,

sectors, and trading partners that are likely to be affected by each state initiative are carefully

conducted so as to provide some indication of a public initiative's impact in what is still a

relatively interdependent global economy even though, strictly speaking, there may be some

circumstances where some form of discrimination is needed to attain a non-protectionist

government objective.

No doubt purists will argue that a complete understanding of the consequences of crisis-era

protectionism requires a detailed economic analysis of each state initiative. Such analyses could

indeed be very useful, indeed the GTA team is and would gladly cooperate with experts

interested in conducting such studies. But, leaving aside the question of resources and the

availability of all the necessary data, quite frankly it is utopian to believe that just under 1000

such analyses could be conducted in the timeframe necessary to influence policymaking. In

short, we should not make the perfect the enemy of the very good. GTA's investigations go a

long way towards indicating the scale of an initiative's effects by making extensive use of

publicly available trade, investment, migration, and other data. Still, the GTA team welcomes

suggestions that will result in further improvements in the coverage and assessment of state

initiatives.

Note: See Evenett (2009a) for an overview of the GTA's methodology and Evenett (2009b) for adiscussion of the concerns some have raised about the GTA's approach.

Africa Resists the Protectionist Temptation: The 5th GTA Report

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Mapping crisis-era protectionism

Sometimes averages and totals obscure interesting variation across countries. Tocounter this, and to facilitate comparisons across jurisdictions, in each report of theGlobal Trade Alert several world maps will be included. These maps are reproduced atthe end of this Executive Summary. Map 1.1 shows how many almost certainly dis-criminatory measures have been implemented by each jurisdiction since November2008. There is considerable variation across countries. Almost every major tradingnation has implemented 10 or more such measures since the first G-20 crisis meeting.In contrast, with the exception of Nigeria, every African nation has implemented lessthan 10 discriminatory measures.

Some government initiatives affect very few trading partners, others many. Map1.2. reports the total number of trading partners that - on the basis of existing flowsof goods, investments, and people across borders - are likely to have been harmed bythe implementation of a government's discriminatory measures. More than a dozennational governments have already taken measures that harm 100 or more of theirtrading partners. Maps 1.3. and 1.4. report the number of product categories (4 digittariff lines) and economic sectors affected by the discriminatory measures that havebeen put in place since the first crisis-related G-20 summit in November 2008.

Maps were also generated for the number of times that each jurisdiction's com-mercial interests have been harmed by other countries' discriminatory measures. Thenumber of countries whose state measures have adversely affected a given jurisdic-tion's commercial interests is reported in Map 1.5. Map 1.6 shows how many times ajurisdiction's commercial interests have been harmed by the discriminatory statemeasures taken by other governments.

Given the enduring interest in whether the G-20 member states have lived up totheir no-protectionism pledge, Map 1.7. may be of particular interest. This mapdemonstrates the almost global reach of the harm done when G-20 governments vio-lated their own no-protectionism pledges.

Map 1.8. shows that the overwhelming majority of nations will find their coun-tries' commercial interests harmed if the discriminatory measures in the pipeline areactually implemented. Forward-looking trade policymakers may find this map andthe related information in the Global Trade Alert database helpful in identifyingthose pending foreign measures whose implementation could be usefully influenced.

The organisation and contents of the remainder of this Report

The rest of this Report is organised as follows. The large number of state measuresinvestigated by the GTA team provide the evidential base from which trends in con-temporary protectionism can be assessed. Next an account of the protectionistdynamics worldwide is provided, drawing on the substantial expansion in the GTA'sdatabase since our last report was published in January 2010. This global perspectiveis complemented by seven papers on contemporary commercial policy challenges fac-ing Sub-Saharan Africa. Three of these papers specifically address African trade rela-tions with leading trading partners, namely, China, the European Union, and theUnited States. Finally, for each nation in Sub-Saharan Africa information is presented

Executive Summary

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on the extent to which its commercial interests have been harmed by the actions ofother countries. Symmetrically, information is presented on the extent to which eachnation's state measures have affected other trading partners.

References

Evenett (2009a). Simon J. Evenett. "What can be learned from crisis-eraprotectionism? An Initial Assessment." Business & Politics. October.

Evenett (2009b). Simon J. Evenett. " Crisis-era protectionism one year after theWashington G20 meeting: A GTA update, some new analysis, and a few words ofcaution." In Richard E. Baldwin (ed.). The Great Trade Collapse: Causes, Consequencesand Prospects. VoxEU.org publication. December 2009.

About the author

Simon J. Evenett is Professor of International Trade and Economic Development,University of St. Gallen, Switzerland; Co-Director of the International Trade andRegional Economics Programme, CEPR; and Coordinator of Global Trade Alert.

26 May 2010

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Revisiting contemporary protectionism on the basis of a far greaterevidential base

With the return to economic growth of many industrialised economies in either late2009 or the first half of 2010, combined with sustained expansions in the emergingmarket economies, came the hope that protectionist pressures would ease in theworld economy through 2010. If anything, the period since our last report was pub-lished in January 2010, has been one of the busiest for the Global Trade Alert team.

Nothing short of a mountain of evidence has been uncovered in recent monthsconcerning state measures announced after the start of our reporting window,November 2008 (corresponding to the date of the first crisis-related G20 summit heldin Washington DC.) A total of 247 new reports on implemented or announced andpending state measures have been added to the Global Trade Alert database since ourlast report was published, expanding the total number of reports to 960. This 40 per-cent expansion in the GTA's database provides for a more comprehensive assessmentof contemporary protectionism and, as will become clear, some of our previous find-ings have had to be revised accordingly.

The purpose of this fifth report of the Global Trade Alert is to provide an overviewof the state measures taken during the current global economic downturn and nas-cent recovery1 that might affect international commerce. The principal findings ofthe report are summarised below and a global overview of contemporary commercialpolicies is provided in chapter 2 of this report.

Like our two previous reports, this report also has a regional focus. This time ourfocus is on Sub-Saharan Africa, whose development significance is evident. What maybe less well known is that Sub-Saharan African governments have not resorted to pro-tectionism on the scale of industrialised countries and some developing country peersduring the recent global economic downturn (see Map 1.1). Indeed, the contest forforeign direct investment (FDI) appears to be in full swing in Sub-Saharan Africa, with

Executive Summary

Simon J. EvenettUniversity of St. Gallen and CEPR

1

1 The recent downturn in business sentiment in Europe and the dislocation in the financial markets asso-ciated with the solvency of certain Eurozone governments are discussed in the next chapter. Should theworld economy ultimately succumb to another bout of contraction then the past six months may wellhave been a lull before the storm, with attendant implications for the corporate demand for protectionfrom foreign competition. The Global Trade Alert does not make macroeconomic forecasts, instead itsteam stands ready to monitor the potential cross-border implications of state measures taken over thecoming months irrespective of macroeconomic conditions.

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governments making repeated changes to tax, investment, and other policies to lureforeign firms to establish facilities.2

Sub-Saharan Africa is also the recipient of preferential access to the markets ofmany industrialised countries. This report contains two papers on the likely reformsto the United States and European Union trade preference regimes and their poten-tial implications for Sub-Saharan Africa. These papers will, therefore, also be of inter-est to those following the West's policies towards Sub-Saharan Africa.

A contribution to policy dialogue through independent monitoring ofstate measures

Global Trade Alert (GTA) has always operated on the assumption that in current cir-cumstances the most practical approach to resisting protectionism is to combine peerpressure with high-quality, current information about state measures and their actu-al or potential effects on foreign commercial interests. Governments, the media, andcivil society are the key sources of the former; the job of Global Trade Alert and othermonitoring exercises is to provide the latter.

An assessment as to the extent and changes over time in protectionist dynamics isalso provided for in this Report, by considering not just the quarter-by-quarterchanges in the numbers of protectionist measures implemented but also the numberof pending measures that have been announced and are expected to implemented inthe future. Information on the pending measures provides policymakers with an"early warning" of what is to come, a feature unique to the GTA's monitoring initia-tive.

Principal findings of the Fifth Report concerning crisis-eraprotectionism

The substantial expansion in the GTA's database permitted a re-evaluation of the keyaspects of crisis-era protectionism. Below is our latest assessment of these dynamics.

1. Since the first G20 crisis-related summit in November 2008, the governments ofworld have together implemented 496 beggar-thy-neighbour policy measures;that is, more than one for every working day. Add in another 86 implementedmeasures that are likely to have harmed some foreign commercial interests, thetotal reaches 582; that is, more than one for every actual day since the first G20summit in November 2008.

a. Of those 247 new entries in the Global Trade Alert, 131 governmentmeasures been implemented that almost certainly discriminated againstforeign commercial interests. The total number of implemented (almost)discriminatory measures in the Global Trade Alert database rose then to 496measures, just over half of the total number of reports (960).

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2 Some of the best evidence for this sustained policy of openness can be found in the budget speeches ofvarious finance ministers from Sub-Saharan Africa over the past two years.

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b. Since our last report was published in January 2010, the number of beggar-thy-neighbour measures reported (131) was less than three times thenumber of benign or liberalising measures reported (53). This ratio wasconsiderably more favourable to market opening than in the previous GTAreports, and constitutes some good news.

2. Since the first G20 crisis-summit, bailouts and state aids are the most frequentsource of discrimination against other nations' commercial interests. Thirty-onepercent of all discriminatory measures were bailouts. By now 96 out of the 166discriminatory state aid/bail out measures in the Global Trade Alert database arein sectors other than the financial sector; many governments have taken theopportunity of the crisis to bail out manufacturers and farmers.

3. Although there are a lot of anti-dumping, anti-subsidy and safeguard measuresin the pipeline, they still account for only 99 of the 496 harmful measuresimplemented since November 2008. The large numbers of discriminatorymeasures reported in the Global Trade Alert database are, therefore, not drivenby so-called unfair trade actions.

4. Relatively speaking tariff measures--the trade barrier most associated with the1930s--continue to decline further in numerical importance. Tariff increasesaccount for only one in eight of the total number of discriminatory statemeasures imposed in the current global economic downturn.

5. No doubt to the embarrassment of those who systematically talked down theincidence of protectionism during 2009, the evidence continues to mount as tothe extent to which governments discriminated against foreign commercialinterests.

a. Since our last report was compiled the GTA team has found evidence ofmore harmful state measures that were imposed in the last quarter of 2008and the first half of 2009. This evidence forces us to revise upward byapproximately 10 percent the number of beggar-thy-neighbour measuresimposed in the first six months of 2009, to at least 115 measures per quarter.

6. By May 2010, no four-digit product line, no UN classified economic sector, andno jurisdiction has emerged unscathed by crisis-era protectionism.

7. Since November 2008 China's commercial interests have been hit 221 times byprotectionist measures. Only if the 27 members of the European Union arecounted together, does any other jurisdiction come close to absorbingcomparable harm (the EU27 group being hit 206 times).

a. There have been substantial increases in the number of times certainjurisdictions' commercial interests have been harmed since the last GTAreport was published in January 2010. Since that last report, everyone of the10 ten targets have been hit by at least another 28 beggar-thy-neighbourpolicies. China has been hit by 60 more measures (the most again), followedby the EU 27 (53 more adverse measures) and the USA (38 more hits).

8. Despite taking their no-protectionism pledge the G20 members have imposed316 beggar-thy-neighbour policies since November 2008. Since our last reportwas published in January 2010, a total of 96 more discriminatory measuresimplemented by G20 countries have been discovered, representing at least a 40percent increase.

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a. The G20 countries also implemented 81 of the 107 benign or liberalisingmeasures recorded in the GTA database. To their credit, 33 of the 41 benignor liberalising measures discovered since the last GTA report was publishedwere implemented by G20 countries.

9. Unlike recent GTA reports, by May 2010 it was not longer the case that theRussian Federation was in the top 5 of offending nations on all four criteria(number of harmful measures implemented, tariff lines affected, sectors affected,or trading partners affected). Now, taken together, the EU 27 has this dubiousdistinction. See Table 1.1. below.

a. On all four metrics, Argentina, China, Indonesia, and Russian Federation arealways in the top 10 worst offending nations.

b. The Russian Federation has the dubious distinction of raising trade barriersagainst the most tariff lines (40 percent of all product categories.) Still,Algeria takes the prize for measures that harm foreign commercial interestsin the largest number of economic sectors; Indonesia for harming the mosttrading partners (165).

c. When nations are ranked by the number of trading partners their statemeasures have harmed, every one of the top-10 worst offenders has hurt thecommercial interests of over 120 nations.

10.In the last GTA report it was stated that only five jurisdictions had takendiscriminatory measures that affected more than a quarter of all the possibletraded product categories; interestingly that number has now risen to nine.3

Still, only six (or five if one does not count the EU 27 as a group) jurisdictionshave taken measures that affect more than a third of all possible productcategories. The latter demonstrates that the across-the-board measures seen inthe 1930s have not been repeated in the recent global economic downturn.

11.Our expansion of the database confirms one long-standing GTA finding: Despiteall the talk about measures to bolster green industries, innovation, and futuregrowth poles of the economy, the great majority of the discrimination is infavour of domestic firms is in smokestack, declining industries and inagriculture.

12.In January 2010 the GTA reported there were 188 suspicious protectionistmeasures in the pipeline4; by May 2010 that total has risen to 237. As in ourprevious reports, if every one of these measures were eventually implemented itwould be equivalent just under half a year's more protectionism.

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3 The Russian Federation, Brazil, Ukraine, EU 27, Indonesia, China, Ecuador, Argentina, and India. SeeTable 2.5 in the next chapter for more details.

4 For the purposes of this report (and the last one) the protectionist pipeline is said to include all thosestate measures that (i) have been publicly announced, (ii) that have yet to be implemented and (iii) uponexamination are likely to harm foreign commercial interests. Such measures are classified amber in theGTA database until implemented, whereupon their classification may change (depending on the detailsabout the potential discriminatory impact available at the time of implementation.)

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Metric, Country in specified rank, Number

Rank Ranked by number of

(almost certainly) discriminatory

measures imposed

Ranked by the number of tariff lines (product

categories) affected by (almost

certainly) discriminatory

measures

Ranked by the number of sectors affected by (almost

certainly) discriminatory

measures

Ranked by the number of trading partners affected

by (almost certainly)

discriminatory measures

1.

EU 27 (140)

Russian

Federation (487) Algeria (54) Indonesia (165)

2. Russian Federation (48) Brazil (440) EU 27 (52) EU 27 (163)

3. Argentina (37) Ukraine (389) Indonesia (31) China (152)

4. Germany (28) EU 27 (371) Ecuador (30) Argentina (145)

5. India (27) Indonesia (346) China (26) India (144)

6.

UK (22) China (335)

Russian Federation

(25)

Russian Federation

(137)

7. Indonesia (20) Ecuador (316) Mexico (24) Belgium (132)

8. China (19) Argentina (299) UK (128)

9. Italy (18) India (282) Germany (124)

10. Austria (17) Belguim (203)

Argentina

Belarus (23)

Belgium France (121)

Table 1.1 Which countries have inflicted the most harm?

Note: There is no single metric to evaluate harm. Different policy measures affect different numbers of products, economic sectors, and trading partners. GTA reports four measures of harm. The EU27 refers to the sum of all of the measures taken by the 27 national governments of the EuropeanUnion and the measures taken by the European Commission. To be included in this total a state measuremust have involved discrimination against the commercial interests of another state, including potentiallyanother member of the European Union.

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How GTA built its extensive database on contemporary protectionism

Since GTA was launched on 8 June 2009 just under 1000 state initiatives have been investigated

by our independent team of trade policy analysts located around the globe. These initiatives

vary from packages of wide-ranging public measures, with many implications for trade and

investment policy instruments, to temporary tariff increases on single product lines. GTA's goal

is to provide the most comprehensive online database of state measures taken since the first

crisis-related G20 summit in November 2008 that might affect foreign commercial interests. The

latter are broadly conceived by the GTA team to include not just trade flows and foreign

investments but also intellectual property rights and migrant workers deployed abroad. It is

through careful, multi-faceted investigations of these initiatives that a rich evidential base was

built, from which the contours of contemporary protectionism can be discerned. Users can

access this evidence at the website: www.globaltradealert.org

One of the most important steps in a GTA investigation is to establish whether the

implementation of a state initiative has, or is likely, to alter the relative treatment of domestic

and foreign commercial interests in the markets where the initiative's effects will be felt. In

common parlance, GTA checks whether a state initiative tilts the playing field against foreign

firms. GTA, therefore, does not opine on the WTO legality of a measure or whether a measure

is "appropriate," "fair," "reasonable" or "crisis-related" (there being no agreed definitions of these

terms.)

State initiatives that almost certainly (or certainly) introduce or change asymmetries of

treatment to the detriment of some foreign commercial interests are deemed by the Global Trade

Alert to be contrary to the no-protectionism pledges made at the November 2008 G20 summit

in Washington, DC, and London summit in April 2009. In this Executive Summary, the phrases

discriminatory and protectionist are used synonymously.

Without attempts to carefully enumerate the different types of state measures used and their

various effects, any assessment of contemporary protectionism is likely to overlook key trends

and is of diminished value to policymakers. That is why GTA goes beyond providing an

assessment of the discriminatory impact of state initiatives. Examination of the tariff lines,

sectors, and trading partners that are likely to be affected by each state initiative are carefully

conducted so as to provide some indication of a public initiative's impact in what is still a

relatively interdependent global economy even though, strictly speaking, there may be some

circumstances where some form of discrimination is needed to attain a non-protectionist

government objective.

No doubt purists will argue that a complete understanding of the consequences of crisis-era

protectionism requires a detailed economic analysis of each state initiative. Such analyses could

indeed be very useful, indeed the GTA team is and would gladly cooperate with experts

interested in conducting such studies. But, leaving aside the question of resources and the

availability of all the necessary data, quite frankly it is utopian to believe that just under 1000

such analyses could be conducted in the timeframe necessary to influence policymaking. In

short, we should not make the perfect the enemy of the very good. GTA's investigations go a

long way towards indicating the scale of an initiative's effects by making extensive use of

publicly available trade, investment, migration, and other data. Still, the GTA team welcomes

suggestions that will result in further improvements in the coverage and assessment of state

initiatives.

Note: See Evenett (2009a) for an overview of the GTA's methodology and Evenett (2009b) for adiscussion of the concerns some have raised about the GTA's approach.

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Mapping crisis-era protectionism

Sometimes averages and totals obscure interesting variation across countries. Tocounter this, and to facilitate comparisons across jurisdictions, in each report of theGlobal Trade Alert several world maps will be included. These maps are reproduced atthe end of this Executive Summary. Map 1.1 shows how many almost certainly dis-criminatory measures have been implemented by each jurisdiction since November2008. There is considerable variation across countries. Almost every major tradingnation has implemented 10 or more such measures since the first G-20 crisis meeting.In contrast, with the exception of Nigeria, every African nation has implemented lessthan 10 discriminatory measures.

Some government initiatives affect very few trading partners, others many. Map1.2. reports the total number of trading partners that - on the basis of existing flowsof goods, investments, and people across borders - are likely to have been harmed bythe implementation of a government's discriminatory measures. More than a dozennational governments have already taken measures that harm 100 or more of theirtrading partners. Maps 1.3. and 1.4. report the number of product categories (4 digittariff lines) and economic sectors affected by the discriminatory measures that havebeen put in place since the first crisis-related G-20 summit in November 2008.

Maps were also generated for the number of times that each jurisdiction's com-mercial interests have been harmed by other countries' discriminatory measures. Thenumber of countries whose state measures have adversely affected a given jurisdic-tion's commercial interests is reported in Map 1.5. Map 1.6 shows how many times ajurisdiction's commercial interests have been harmed by the discriminatory statemeasures taken by other governments.

Given the enduring interest in whether the G-20 member states have lived up totheir no-protectionism pledge, Map 1.7. may be of particular interest. This mapdemonstrates the almost global reach of the harm done when G-20 governments vio-lated their own no-protectionism pledges.

Map 1.8. shows that the overwhelming majority of nations will find their coun-tries' commercial interests harmed if the discriminatory measures in the pipeline areactually implemented. Forward-looking trade policymakers may find this map andthe related information in the Global Trade Alert database helpful in identifyingthose pending foreign measures whose implementation could be usefully influenced.

The organisation and contents of the remainder of this Report

The rest of this Report is organised as follows. The large number of state measuresinvestigated by the GTA team provide the evidential base from which trends in con-temporary protectionism can be assessed. Next an account of the protectionistdynamics worldwide is provided, drawing on the substantial expansion in the GTA'sdatabase since our last report was published in January 2010. This global perspectiveis complemented by seven papers on contemporary commercial policy challenges fac-ing Sub-Saharan Africa. Three of these papers specifically address African trade rela-tions with leading trading partners, namely, China, the European Union, and theUnited States. Finally, for each nation in Sub-Saharan Africa information is presented

Executive Summary

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on the extent to which its commercial interests have been harmed by the actions ofother countries. Symmetrically, information is presented on the extent to which eachnation's state measures have affected other trading partners.

References

Evenett (2009a). Simon J. Evenett. "What can be learned from crisis-eraprotectionism? An Initial Assessment." Business & Politics. October.

Evenett (2009b). Simon J. Evenett. " Crisis-era protectionism one year after theWashington G20 meeting: A GTA update, some new analysis, and a few words ofcaution." In Richard E. Baldwin (ed.). The Great Trade Collapse: Causes, Consequencesand Prospects. VoxEU.org publication. December 2009.

About the author

Simon J. Evenett is Professor of International Trade and Economic Development,University of St. Gallen, Switzerland; Co-Director of the International Trade andRegional Economics Programme, CEPR; and Coordinator of Global Trade Alert.

26 May 2010

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Section 1Crisis-related Discrimination Against ForeignCommercial Interests

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What a difference six weeks make. During the first quarter of 2010 business appearedto gain confidence across both sides of the Atlantic, most large industrialisedeconomies were no longer contracting, and much valued upward momentum wasprovided to the world economy by the Asian powerhouses, China and India.

Towards the end of May 2010, however, sentiment has markedly shifted, partly asa result of insolvency risks in the eurozone, concerns about the overheating of theChinese and Indian economies, and recognition that cross-border bank lending andthe carry trade has reached such levels that other parts of the world economy knewthey could quickly be drawn into further turmoil.

Only time will tell if the first quarter of 2010 was a really turning in point in glob-al economic fortunes or a false dawn. For purposes of monitoring contemporary pro-tectionism, however, the state of the business cycle and the confidence of businesspersons are important because they affect the pressure on governments to impose fur-ther restrictions on foreign commerce. As an economy rallies, the benefits of theupturn spread to further sectors, pressures to restrict commerce tend to abate, or soprior experience has shown. But, if first quarter was the calm before another storm,then protectionist pressures may intensify.

Rather than rely solely on the regularities of yesteryear to inform policy delibera-tions, one advantage of systematically collecting data on the state measures that mayhave (positive, negative, or no) implications for foreign commercial interests is thatup to date summaries of the extent of protectionism and trade liberalisation can bepresented. Indeed, the purpose of this chapter is to provide a global overview ofdevelopments into the first five months of 2010, taking careful account of the factthat some of evidence collected in recent months refers to state measures taken orannounced in 2009. Given this Report's focus on developments in the Sub-SaharanAfrican region, developments in that region are described and analysed in the nextsection.

A substantial update and extension of the Global Trade Alert database has beenundertaken since the Fourth Report was published at the end of January 2010. Frommid-January 2010 to mid-May 2010 a total of 247 new reports were added to theGlobal Trade Alert database, equivalent to approximately a 40 percent expansion ofthe database. Of those 247 new entries, 131 government measures been implement-ed that almost certainly discriminated against foreign commercial interests. The totalnumber of implemented (almost) discriminatory measures in the Global Trade Alertdatabase rose then to 496 measures, just over half of the total number of reports(960).

A Global Overview of Protectionism throughto May 2010

Simon J. EvenettUniversity of St. Gallen and CEPR

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While more details can be found in the pages that follow, once again it was foundthat many less transparent--or murky--forms of protectionism take time to be discov-ered, investigated, and reported. Therefore each of these published reports not onlyprovides evidence on what has happened in recent months but also updates findingsfor previous quarters. This is significant for two reasons.

First, the first reading of protectionism implemented in a given quarter has turnedout to be a serious underestimate. For example, in our last report our first estimate ofthe number of almost certainly or likely discriminatory measures implemented in thefirst quarter of 2009 was only 7. Now, our estimate of the number of such measuresimplemented in that quarter has risen nine-fold to 63.1 Followers of contemporaryprotectionism are, therefore, cautioned against putting too much weight on anyinstantaneous readings of protectionism. This observation reinforces the need for alonger-term effort to monitor protectionism; short term efforts mobilised in responseto sirens may not serve decision-makers well.

With the publication of each Global Trade Alert report, the record for 2009 keepgetting worse and worse. No doubt to the embarrassment of those who systematical-ly talked down the incidence of protectionism during 2009, the evidence continuesto mount as to the extent to which governments discriminated against foreign com-mercial interests. Presumably trade ministry officials, who keep an eye on the caseswhere their country's commercial interests have been hurt, prefer a comprehensiveperspective. In this regard, the substantial update in the number of entries in the GTAdatabase, will make for unwelcome reading in some jurisdictions. Since our last reportwas published we have identified 60 more discriminatory measures that have harmedChina's commercial interests, 53 definitely hurting the EU 27 countries (taken togeth-er) and 38 measures harming American commercial interests.2

What follows is a systematic account of the various facets of contemporary pro-tectionism. The sections used typically follow those of previous reports, facilitatingcomparisons across reports and over time.

Evidence of discrimination against foreign commercial interests continuesto mount

1. Since the first G20 crisis-related summit in November 2008, the governments ofworld have together implemented 496 beggar-thy-neighbour policy measures;that is, more than one for every working day. Add in another 86 implementedmeasures that are likely to have harmed some foreign commercial interests, thetotal reaches 582; that is, more than one for every actual day since the first G20summit in November 2008. See Tables 2.1. and 2.2.

2. Since our last report was published in January 2010, the number of beggar-thy-neighbour measures reported (131) was less than three times the number ofbenign or liberalising measures reported (53). This ratio was considerably morefavourable to market opening than in the previous reports, and constitutes somegood news. See Table 2.1.

Africa Resists the Protectionist Temptation: The 5th GTA report

20

1 One could argue that our last report was published in January 2010 so we must have known that 7 wasan understimate. This is true, however, the extent to which the initial report was an underestimate couldnot be known.

2 The GTA website provides such data for each jurisdiction.

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3. Although there are a lot of anti-dumping, anti-subsidy and safeguard measuresin the pipeline, they still account for only 99 of the 496 harmful measuresimplemented since November 2008. The large numbers of discriminatorymeasures reported in the Global Trade Alert database are, therefore, not drivenby so-called unfair trade actions. See Table 2.1.

4. No four-digit product line, UN classified economic sector, or jurisdiction hasemerged unscathed by crisis-era protectionism. See Table 2.2.

5. Despite taking their no-protectionism pledge the G20 members have imposed316 beggar-thy-neighbour policies since November 2008. Since our last reportwas published in January 2010, a total of 96 more discriminatory measuresimplemented by G20 countries have been discovered, representing at least a 40percent increase. See Table 2.3 and Figure 2.1.

6. The G20 countries also implemented 81 of the 107 benign or liberalisingmeasures recorded in the GTA database. To their credit, 33 of the 41 benign orliberalising measures discovered since the last GTA report was published wereimplemented by G20 countries. See Table 2.3.

7. Typically, since the first G20 summit in November 2008, every other day a G20government has broken the no-protectionism pledge. In contrast a benign orliberalising measure is implemented by a G20 government on average every 6days. See Table 2.3.

8. While G20 governments have implemented many of the beggar-thy-neighbourpolicies since the Washington DC summit, just over a third (184) ofprotectionist measures have been implemented by other governments. SeeTables 2.2. and 2.3.

Reporting lags must be taken into account when interpreting quarterly estimates of the rate of implementation of discriminatory measures

9. In terms of raw numbers, there appears to be a reduction in the total number ofalmost certainly and probably discriminatory measures imposed from thesecond half of 2009 compared to the first half of 2009. See Figure 2.2.

10.Since our last report was compiled the GTA team has found evidence of moreharmful state measures that were imposed in the last quarter of 2008 and thefirst half of 2009. This evidence forces us to revise upward by approximately 10percent the number of beggar-thy-neighbour measures imposed in the first sixmonths of 2009, to at least 115 measures per quarter. See Figure 2.2.

11.Compared to the last report, the total number of discriminatory measuresimplemented in the third and fourth quarters of 2009 and in the first quarter of2010 have been revised upwards substantially. See Figure 2.2. Readers arecautioned to expect further upward revisions in estimates for these quarters.

12.As in previous reports, the total number of reported estimates per quarter do notappear to be settling down. Nor has been there been enough time to be sure thatreporting lags have worked through and the quarterly totals can be usefullycompared. These findings suggest that it is too soon to declare victory overprotectionism; too premature to say that any recovery is reducing the numberof trade restrictions imposed. See Figure 2.2.

A Global Overview of Protectionism through to May 2010

21

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The protectionist in the pipeline keeps growing – no respite there

13.In January 2010 the GTA reported there were 188 suspicious protectionistmeasures in the pipeline3; by May 2010 that total has risen to 237. As in ourprevious reports, if every one of these measures were eventually implemented itwould be equivalent just under half a year's more protectionism. See Tables 2.1and 2.2.

China remains the most frequent target of crisis-era protectionism, butother nations are hit often too

14.Since November 2008, China's commercial interests have been hit 221 times byprotectionist measures. Only if the 27 members of the European Union arecounted together, does any other jurisdiction come close to absorbingcomparable harm (the EU27 group being hit 206 times). See Table 2.4.

15.Other than China, the top 10 targets jurisdictions hit by the most number ofharmful foreign measures are all industrialised countries. Brazil, Korea,Thailand, Turkey, and India are in the top 20 most frequently hit jurisdictions.See Table 2.4 and GTA website.

16.There have been substantial increases in the number of times certainjurisdictions' commercial interests have been harmed since the last GTA reportwas published in January 2010. Since that last report, everyone of the 10 tentargets have been hit by at least another 28 beggar-thy-neighbour policies.China has been hit by 60 more measures (the most again), followed by the EU27 (53 more adverse measures) and the USA (38 more hits). See Table 2.4.

17.Seventy trading partners have imposed measures harmful to Chinesecommercial interests. Only the EU 27 countries together equals that total.France alone comes close, with 67 countries harming its commercial interests.See Table 2.4.

18.In addition, 122 of the measures in the protectionist pipeline are likely to harmChinese commercial interests, should those measures be implemented.Interestingly the EU27 and the USA each saw the number of pendingdiscriminatory measures against their commercial interests rise by 20 since thelast GTA report was published in January 2010, twice the rate for the Chinese.See Table 2.4.

Which nations have inflicted the most harm?

Since protectionist acts can affect different numbers of products, sectors, and tradingpartners, there is no single metric to identify the worst offending nations. The GTAreports four indicators of harm.4 Compared to the last report, there have been a num-ber of notable changes in the rankings.

Africa Resists the Protectionist Temptation: The 5th GTA report

22

4 Previous comparisons of the rankings of countries on the basis of these four rankings have shown aremarkably high degree of correlation. The Spearman rank correlations between the four rankings liedwithin the range 0.68-0.81.

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19.Unlike recent GTA reports, by May 2010 it was not longer the case that theRussian Federation was in the top 5 of offending nations all four criteria(number of harmful measures implemented, tariff lines affected, sectors affected,or trading partners affected). Now, taken together, the EU 27 has this dubiousdistinction. See Table 2.5.

20.On all four metrics, Argentina, China, Indonesia, and Russian Federation arealways in the top 10 worst offending nations. See Table 2.5.

21.The Russian Federation has the dubious distinction of raising trade barriersagainst the most tariff lines (40 percent of all product categories.) Still, Algeriatakes the prize for measures that harm foreign commercial interests in the largestnumber of economic sectors; Indonesia for harming the most trading partners(165). See Table 2.5.

22.When nations are ranked by the number of trading partners their state measureshave harmed, every one of the top-10 worst offenders has hurt the commercialinterests of over 120 nations. Given the conservative methodology used toidentify the harmed jurisdictions5, this finding indicates the scale of the adverseimpact of many governments' crisis-era state measures. See Table 2.5.

A repeat of the 1930s protectionism has – to date – been avoided

23.In the last GTA report it was stated that only five jurisdictions had takenmeasures that affected more than a quarter of all the possible imported productcategories; interestingly that number has now risen to nine. Still, only six (orfive if one does not count the EU 27 as a group) jurisdictions have takenmeasures that affect more than a third of all possible product categories. Thelatter demonstrates that the across-the-board measures seen in the 1930s havenot been repeated in the recent global economic downturn. See Table 2.5.

Which types of beggar-thy-neighbour policies are used the most?

24.Since the first G20 crisis-summit, bailouts and state aids are the most frequentsource of discrimination against other nations' commercial interests. Thirty-onepercent of all discriminatory measures were bailouts. By now 96 out of the 166discriminatory state aid/bail out measures in the Global Trade Alert database arein sectors other than the financial sector; it is a mistake to associate thediscriminatory bailouts of the recent past solely to banks and insurancecompanies and the preservation of financial stability.6 See Table 2.6. and Figure2.3.

25.The implementation of discriminatory trade defence instruments are the secondmost common form of protectionism. Given that a large number of traderemedy investigations are ongoing, in the next 12 months it would not besurprising if the number of bailouts loses its number one slot. See Table 2.6. andFigure 2.4.

A Global Overview of Protectionism through to May 2010

23

5 In short, identification is on the basis of an existing non-trivial trade, investment, or other commercialflow, not indicators of potential harm.

6 This latter finding can be confirmed by going on to the "Advanced Search" page of the GTA website andsearching for the bailout measures that do not affect sector 81, namely, financial intermediation servic-es and auxiliary services thereof.

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26.Since our last report was published, bailouts and trade defence measures accountfor the overwhelming majority of new discriminatory state measures that theGTA has uncovered. Recently, it seems, the action is in these two policyinstruments, with tariff increases running a poor third. See Table 2.6.

27.Relatively speaking, tariff measures appear to decline further in numericalimportance. Tariff increases account for only one in eight of the total number ofdiscriminatory state measures imposed in the current global economicdownturn. This calls into question how representative of contemporaryprotectionism, the much-studied, easy-to-measure, and typically transparenttariff increase is. See Table 2.6. and Figure 2.3.

28.Export taxes or restrictions, bailouts, export subsidies, buy national policies,tariff measures, trade defence measures, plus a rag-bag of non-tariff barriersimposed since November 2008 are each conservatively estimated to haveharmed over 100 countries' commercial interests. See Table 2.6.

Which sectors are most affected by protectionism?

29.Setting state measures that benefit the financial sector to one side, like its recentpredecessors, this Report confirms a finding in the second GTA report. Namely,despite all the talk about measures to bolster green industries, innovation, andfuture growth poles of the economy, the great majority of the discrimination isin favour of domestic firms is in smokestack, declining industries and inagriculture. See Table 2.7.

30.Looking ahead, the basic metals and basic chemical sectors could be affected byover 30 pending measures. Should this come to pass then over the next year orso, both sectors will eclipse the financial sector as the principal sectors mostaffected by contemporary era protectionism. See Table 2.7.

Africa Resists the Protectionist Temptation: The 5th GTA report

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Table 2.1 Total number of state measures reported in the GTA database

This report Increase from previous reportStatistic (May 2010) (January 2010)

Total Total except unfair Total Total except unfair trade and safeguards trade and safeguards

investigations investigations

Total number of measures in 960 658 247 182GTA database

Total number of measures 141 121 53 43coded green

Total number of measures 323 140 63 41coded amber

Total number of measures 496 397 131 98coded red

How does the GTA colour code measures?

Colour code Criteria

Red (i) The measure has been implemented and almost certainly discriminates against foreign commercial interests.

Amber (i) The measure has been implemented and may involve discrimination against foreign commercial interests; OR(ii) The measure has been announced or is under consideration and would (if implemented) almost certainly involve discrimination against foreign commercial interests.

Green (i) The measure has been announced and involves liberalization on a non-discriminatory (i.e., most favored nation) basis; OR(ii) The measure has been implemented and is found (upon investigation) not to be discriminatory: OR(iii) The measure has been implemented, involves no further discrimination, and improves the transparency of a jurisdiction's trade-related policies.

A Global Overview of Protectionism through to May 2010

25

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Africa Resists the Protectionist Temptation: The 5th GTA report

26

Table 2.2 Measures implemented since first crisis-related G20 summit in November 2008,totals for all jurisdictions and change since last report

This report Increase from previous reportStatistic (May 2010) (January 2010)

Total Total except unfair Total Total except unfair trade and safeguards trade and safeguards

investigations investigations

Total number of measures in 688 548 195 148GTA database

Total number of measures 107 94 41 34coded green

Total number of measures 86 57 24 20coded amber

Total number of measures 496 397 131 98coded red

Total number of 4-digit tariff lines affected by almost certainly 1214 1214 0 0discriminatory measures

Total number of 2-digit sectors affected by almost certainly 79 79 0 0discriminatory measures

Total number of trading partners affected by almost certainly 233 233 0 0discriminatory measures

Table 2.3 Measures implemented by G20 countries in the year since the first crisis-related G20summit in November 2008, totals for all G20 jurisdictions and change since lastreport

This report Increase from previous reportStatistic (May 2010) (January 2010)

Total Total except unfair Total Total except unfair trade and safeguards trade and safeguards

investigations investigations

Total number of measures in 459 331 155 112GTA database

Total number of measures 81 70 33 27coded green

Total number of measures 64 36 26 19coded amber

Total number of measures 314 225 96 66coded red

Total number of 4-digit tariff lines affected by almost certainly 1119 1116 141 148discriminatory measures

Total number of 2-digit sectors affected by almost certainly 61 61 3 3discriminatory measures

Total number of trading partners affected by almost certainly 207 207 11 11discriminatory measures

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A Global Overview of Protectionism through to May 2010

27

0 100 200 300 400 500 600 700

Implemented by theG20

ImplementedWorldwide

Number of measures coded red Number of measures coded amber Number of measures coded green

Figure 2.1. The G20 members implement a higher share of beggar-thy-neighbor policies thanother countries.

55

120 115101

8463

1542

111 10086

54

70

20406080

100120140

Q4 2008

Q1 2009

Q2 2009

Q3 2009

Q4 2009

Q1 2010

Q2 2010 (to 12.05...

Latest report Previous report

Figure 2.2. Q1 2010 protectionism is on trend to match 2009 levels; murky protectionismcontinues to generate sizeable reporting lags

In Figure 2.2. a harmful measure is taken to be one which has been implementedsince November 2008 and is almost certainly discriminatory (coded red) or likely tobe discriminatory (coded amber).

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Africa Resists the Protectionist Temptation: The 5th GTA report

28

Tabl

e 2.

4. T

he to

p 10

big

gest

targ

ets

of d

iscr

imin

ator

y m

easu

res

face

eve

n m

ore

pain

Targ

etN

umbe

r of

dis

crim

inat

ory

mea

sure

sN

umbe

r of

trad

ing

part

ners

Num

ber

of p

endi

ng m

easu

res,

im

pose

d on

targ

etim

posi

ng d

iscr

imin

ator

y m

easu

res

whi

ch if

impl

emen

ted,

w

ould

har

m ta

rget

too

Incr

ease

Incr

ease

Incr

ease

This

rep

ort

from

last

This

rep

ort

from

last

This

rep

ort

from

last

(May

repo

rt(M

ayre

port

(May

repo

rt20

10)

(Janu

ary

2010

)(Ja

nuar

y20

10)

(Janu

ary

2010

)20

10)

2010

)

Chi

na22

160

709

122

11EU

2720

653

7027

7720

USA

166

3860

951

20G

erm

any

158

3457

2153

11Fr

ance

145

3367

3145

11U

K13

429

5522

4110

Italy

132

2958

948

17Ja

pan

131

2856

2242

14B

elgi

um12

927

5217

3912

Net

herl

ands

128

2855

2337

1

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A Global Overview of Protectionism through to May 2010

29

Metric, Country in specified rank, Number

Rank Ranked by number of

(almost certainly) discriminatory

measures imposed

Ranked by the number of tariff lines (product

categories) affected by (almost

certainly) discriminatory

measures

Ranked by the number of sectors affected by (almost

certainly) discriminatory

measures

Ranked by the number of trading partners affected

by (almost certainly)

discriminatory measures

1.

EU 27 (140)

Russian

Federation (487) Algeria (54) Indonesia (165)

2. Russian Federation (48) Brazil (440) EU 27 (52) EU 27 (163)

3. Argentina (37) Ukraine (389) Indonesia (31) China (152)

4. Germany (28) EU 27 (371) Ecuador (30) Argentina (145)

5. India (27) Indonesia (346) China (26) India (144)

6.

UK (22) China (335)

Russian Federation

(25)

Russian Federation

(137)

7. Indonesia (20) Ecuador (316) Mexico (24) Belgium (132)

8. China (19) Argentina (299) UK (128)

9. Italy (18) India (282) Germany (124)

10. Austria (17) Belguim (203)

Argentina

Belarus (23)

Belgium France (121)

Table 2.5 Which countries have inflicted the most harm?

Note: There is no single metric to evaluate harm. Different policy measures affect different numbers of products, economic sectors, and trading partners. GTA reports four measures of harm. The EU27 refers to the sum of all of the measures taken by the 27 national governments of the EuropeanUnion and the measures taken by the European Commission. To be included in this total a state measuremust have involved discrimination against the commercial interests of another state, including potentiallyanother member of the European Union.

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Africa Resists the Protectionist Temptation: The 5th GTA report

30

Tabl

e 2.

6. T

en m

ost

used

sta

te m

easu

res

to d

iscr

imin

ate

agai

nst

fore

ign

com

mer

cial

int

eres

ts s

ince

the

fir

st G

20 c

risi

s m

eetin

g; b

ailo

uts

and

trad

ede

fenc

e m

easu

res

rem

ain

the

pref

erre

d to

ols

of c

omm

erci

al d

iscr

imin

atio

n.

Ran

ked

by n

umbe

r of

dis

crim

inat

ory

mea

sure

s im

pose

d.

Stat

e m

easu

reN

umbe

r of

N

umbe

r of

mea

sure

s N

umbe

r of

juri

sdic

tions

that

Num

ber

of ju

risd

ictio

ns

disc

rim

inat

ory

(red

)im

plem

ente

d (r

edim

pose

d th

ese

disc

rim

inat

ory

harm

ed b

y th

ese

mea

sure

s im

pose

dam

ber,

or g

reen

)m

easu

res

disc

rim

inat

ory

mea

sure

sIn

crea

seIn

crea

seIn

crea

seIn

crea

seTh

is r

epor

tfr

om la

stTh

is r

epor

tfr

om la

stTh

is r

epor

tfr

om la

stTh

is r

epor

tfr

om(M

ayre

port

(May

repo

rt(M

ayre

port

(May

repo

rt20

10)

(Janu

ary

2010

)(Ja

nuar

y20

10)

(Janu

ary

2001

0)(Ja

nuar

y20

10)

2010

)20

10)

2010

)

1. B

ail o

ut /

stat

e ai

d m

easu

re16

625

177

3343

218

25

2. T

rade

def

ence

mea

sure

99

3214

143

535

7416

(AD

, CV

D, s

afeg

uard

)3.

Tar

iff m

easu

re62

1413

037

309

138

164.

Pub

lic p

rocu

rem

ent

276

316

183

133

05.

Exp

ort s

ubsi

dy25

1121

543

1018

439

6. N

on ta

riff

barr

ier

2310

3513

145

136

27(n

ot o

ther

wis

e sp

ecifi

ed)

7. M

igra

tion

mea

sure

208

2912

175

6418

8. E

xpor

t tax

es o

r re

stri

ctio

n16

637

1935

2414

6-1

9. Im

port

ban

144

178

124

5412

10. L

ocal

con

tent

req

uire

men

t14

416

210

111

4-1

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A Global Overview of Protectionism through to May 2010

31

1. Bail out / state aid measure

30%

2. Trade defence measure (AD, CVD,

safeguard)19%

Other12%

10. Local content requirement

3%

9. Import ban 3%

8. Export Subsidy3%

7. Migration measure4%

6. Non tariff barrier (not otherwise

specified)4%

5. Export taxes or restriction

5%4. Public procurement

5%3. Tariff measure

12%

Figure 2.3 Top 10 implemented measures used to discriminate against foreign commercialinterests since the first G20 crisis meeting.

Trade defence measure (AD, CVD, safeguard)

52%

Other10%

Technical barrier to trade2%

Non tariff barrier (not otherwise specified)

2%Export taxes or

restriction2%

Bail out / state aid measure

3%Other service sector measure

4%Local content requirement

4%

Public procurement5%

Investment measure6%

Tariff measure10%

Figure 2.4 Top 10 pending measures that target foreign commercial interests.

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32

The Global Overview: Has Stabilisation Affected The Landscape of Crisis-Era Protectionism?

Tabl

e 2.

7 To

p 20

sec

tors

mos

t affe

cted

by

disc

rim

inat

ory

mea

sure

s

CPC

cod

e, A

ffect

ed S

ecto

rN

umbe

r of

dis

crim

inat

ory

Num

ber

of im

plem

ente

dN

umbe

r of

juri

sdic

tions

N

umbe

r of

pen

ding

(red

) mea

sure

s af

fect

ing

mea

sure

s af

fect

ing

impl

emen

ting

mea

sure

sm

easu

res

affe

ctin

gco

mm

erci

al in

tere

sts

in th

is s

ecto

rsp

ecifi

ed s

ecto

raf

fect

ing

spec

ified

sec

tor

spec

ified

sec

tor

and

clas

sifie

d as

red

81 (F

inan

cial

inte

rmed

iatio

n se

rvic

es a

nd a

uxili

ary

6976

232

serv

ices

ther

efor

)41

(Bas

ic m

etal

s)51

7549

3344

(Spe

cial

pur

pose

mac

hine

ry)

4778

2213

49 (T

rans

port

equ

ipm

ent)

4373

4623

42 (F

abri

cate

d m

etal

pro

duct

s, e

xcep

t mac

hine

ry

3958

1922

and

equi

pmen

t)01

(Pro

duct

s of

agr

icul

ture

, hor

ticul

ture

and

38

6025

15m

arke

t gar

deni

ng)

34 (B

asic

che

mic

als)

3864

1540

21 (M

eat,

fish,

frui

t, ve

geta

bles

, oils

and

fats

)37

5522

1223

(Gra

in m

ill p

rodu

cts,

sta

rche

s an

d st

arch

pro

duct

s;

3151

4412

othe

r fo

od p

rodu

cts)

02 (L

ive

anim

als

and

anim

al p

rodu

cts)

3041

467

22 (D

airy

pro

duct

s)30

3941

838

(Fur

nitu

re; o

ther

tran

spor

tabl

e go

ods

n.e.

c.)

2737

178

27 (T

extil

e ar

ticle

s ot

her

than

app

arel

)25

4417

1543

(Gen

eral

pur

pose

mac

hine

ry)

2444

1410

46 (E

lect

rica

l mac

hine

ry a

nd a

ppar

atus

)23

3715

947

( R

adio

, tel

evis

ion

and

com

mun

icat

ion

equi

pmen

t 23

4213

5an

d ap

para

tus)

36 (R

ubbe

r an

d pl

astic

s pr

oduc

ts)

2237

1712

28 (K

nitte

d or

cro

chet

ed fa

bric

s; w

eari

ng a

ppar

el)

2137

157

35 (O

ther

che

mic

al p

rodu

cts;

man

-mad

e fib

res)

2041

1320

29 (L

eath

er a

nd le

athe

r pr

oduc

ts; f

ootw

ear)

1932

125

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Section 2Sub-Saharan Africa, Commercial PolicyDiscrimination, and the Global EconomicDownturn

33

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35

1 Introduction

The role of free trade in rapid socio-economic development of African countriescannot be overemphasized; it is a major source of the strong economic performanceof most African countries in recent times. The importance of trade for globaldevelopment and especially for developing African countries is underscored by thefact that Goal eight of the Millennium Development Goals (MDGs) centers on trade,aiming to "develop further an open, rule-based predictable, non-discriminatorytrading and financial system". Thus, improved market access through reducedunilateral trade restrictive measures is a very important step for African countries insustaining its recent progress in economic performances and consolidating on thissuccess to improve the livelihood of its people and move closer to realizing theMDGs.

Trade expansion by African countries has been achieved at the heels of vigoroustrade liberalization and export orientation coupled with relatively benign global tradepolicies by multilateral institutions such as the WTO and bilateral trade agreements.Some of the bilateral and multilateral market initiatives that have helped Africancountries gain better market access include the African Growth and Opportunities Act(AGOA), Everything But Arms, New Partnership for African Development (NEPAD),Aid for Trade, Integrated Framework for LDCs, Enhanced Integrated Framework forLDCs and Blair Initiative. It is hoped that the current round of WTO talks (DohaDevelopment Agenda) will be completed soon with a view to further improving theintegration of African countries into the global trading system and strengthen thecapacity of the countries to make best use of the increased market access createdthrough these initiatives.

However, the recent financial crisis has led to a proliferation of protectionist tradepolicies. Restrictive measures emanating from these actions threaten the foundationof the successes recorded by African countries in trade expansion, market access andeconomic progress of African countries. Several trading partners of African countrieshave adopted and implemented discriminatory and restrictive trade policy measuresthat significantly hurt African countries. These measures tend to push the burden ofrecovery to African countries at the expense of the developed countries. It also furtherexerts negative pressure on the countries, pushing them further below currenteconomic performance and poverty lines, thus threatening quick recovery from theeffects of the global financial crisis. These negative effects are worsened by the factthat African countries do not have the required resources to counteract the

Effects of Post-Crisis Foreign Trade PolicyMeasures on Economic and TradePerformance in Africa

Eric Kehinde OgunleyeAfrican Center for Economic Transformation

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discriminatory policy measures of their developed, richer trading partners. The mainobjective of this paper is to articulate the nature of post-crisis trade measures adoptedand implemented by Africa trading partners and assess the nature and extent of theirinfluence on macroeconomic performance and commercial interest of countries inthe continent. The analyses are based primarily on the qualitative policy measures inthe GTA database.

Following this introduction, section two provides evidence on the post-crisisprotectionist and restrictive measures adopted and implemented by Africa tradingpartners, classified under green, amber and red1. Section three provides an evidentialassessment of the effects of foreign trade policy measures adopted during thefinancial crisis on commercial interests and economic performance of Africancountries with focus on both positive and negative effects of these measures. Sectionfour offers some policy reflections for African countries while section five presents theconcluding remarks.

2 Evidence of protectionist and restrictive measures of trade during the crisis

The advent of the global financial and economic crisis has led to a proliferation oftrade restrictive and trade distorting policy measures, especially by developedcountries such as the European countries, Japan, the United Kingdom and the UnitedStates. Unfortunately, the emerging economies are joining this league as countrieslike Brazil, China, Mexico, India, Indonesia, South Africa and the Russian Federationhave also implemented some forms of trade restrictive measures. Putting the figuresin perspective, a total of 297 beggar-thy-neighbor policy measures have been adoptedby governments of the world within one year, with the list increasing to 353 whenmeasures that are likely to have harmed some foreign commercial interests are added(Evenett 2009). By May 2010, a total of 959 measures have been implemented, out ofwhich only 141 are non-discriminatory2. In brevity, this demonstrates the attitudeand policy response of African trading partners oblivious of the negative impact oftheir response on African countries.

Table 1 shows the nature of trade policy measures implemented by selected tradingpartners of African countries. A cursory look at the table reveals that more traderestricting and discriminatory measures were implemented vis-à-vis liberalization andtrade enhancing measures. One notable observation from this data reveals that asindividual countries, most African trading partners developed and implemented very

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1 Red measures refer to policy measures that have been implemented and almost certainly discriminatesagainst foreign commercial interest. Amber measures are: (i) Policy measures that have beenimplemented and may involve discrimination against foreign commercial interests; OR (ii) Measures thathave been announced or is under consideration and would, if implemented, almost certainly involvediscrimination against foreign commercial interests. Green measures are: (i) Measures that have beenannounced and involves liberalization on a non-discriminatory (i.e., most favored nation) basis; OR (ii)Measures that have been implemented and is found , upon investigation, not to be discriminatory: OR(iii) The measures have been implemented, involves no further discrimination, and improves thetransparency of a jurisdiction's trade-related policies.

2 http://www.globaltradealert.org/site-statistics#

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limited liberalizing measures that impacted positively on African countries. Forinstance, given their purported support for non-restrictive policy measures, onewould expect the UK and US to implement more liberalizing trade policy measures.On the contrary, the UK and US implemented respective 4 liberalizing policymeasures as at May 2010, while 22 and 14 respective discriminatory measures havebeen implemented. A closer look reveals that the UK and US have another respective10 and 44 measures that have the potential for discriminating against the interests oftheir trading partners3. As a group, the G20 has implemented 292 discriminatorymeasures with additional 227 measures that have the potential for restricting foreigninterests. It is interesting to note, however, that the G20 has also implemented 90measures that are favorable to foreign trading partners, including African countries.

Up to 18th May 2010, discriminatory measures remain the most prominent post-crisis policy response of most Africa trading partners, representing 52% of total tradepolicy measures implemented. If the potential discriminatory measures are added tothis, they both represent 87% of total post-crisis policy measures while positive,liberalizing measures was paltry 13% (see Figure 1). This has serious implications forAfrican countries that depend highly on foreign trade and investment for post-crisisrecovery and for re-launching the economies on the path of sustained growth.

The G8 countries alone have 226 trade restrictive measures in the GTA database.These measures have affected no less than 181 trading partners and 674 tariff lines.

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3 http://www.globaltradealert.org/site-statistics/table/3

Table 1 Post-crisis trade policy measures implemented by selected Africa trading partners

Partner Green Amber Red Total Tariff lines Sectors Trading measures measures measures measures affected by affected by partners

red measures red measures affected by red measures

G8 29 91 135 255 674 52 181G20 90 227 292 609 1119 61 233EU27 7 19 140 166 371 52 163Argentina 5 28 35 68 276 23 145Austria 4 10 17 31 41 10 105Belgium 4 10 11 25 203 23 132Brazil 15 15 17 47 440 22 232China 6 17 19 42 335 26 152European Communities 4 16 10 30 23 7 103Finland 4 10 12 26 19 8 103France 5 13 14 32 88 17 121Germany 5 12 28 45 23 23 124India 8 35 27 70 282 23 144Indonesia 5 11 20 36 346 31 165Italy 4 10 18 32 26 11 104Netherlands 4 10 16 30 47 10 104Portugal 4 9 14 27 19 8 107Russian Federation 14 18 48 80 487 25 137Spain 4 11 17 32 48 15 115UK and N. Ireland 4 10 22 36 134 12 128United States 4 44 14 62 127 20 120

Source: GTA Database (accessed 18 May, 2010) and can be found at http://www.globaltradealert.org/site-statistics/table/3

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Considering the G20 countries, they have a total of 519 trade restrictive measuresthat affected 233 trading partners and 1,119 tariff lines. Comparatively, lessdeveloped countries have a total of mere 21 trade restrictive measures affecting only31 trading partners and 15 sectors. This demonstrates that developed countries aremore prone to using restrictive trade measures during the crisis as opposed todeveloping countries. At country level, Russian Federation implemented morediscriminatory measures as both red and amber measures numbered 66. Noteworthy,however, is the fact that the same country implemented more liberalizing measuresthat exceeds those implemented by the US, UK and Germany put together. The useof protectionist measures by these traditional economic partners of Africa is a causefor serious worry. Another important cause for worry is the use of discriminatorytrade measures by African emerging economic and trading partners such as Brazil,China, India and Indonesia. By May 2010, these countries have implemented red andamber measures totaling 161. This is a cause for worry because such protectionistmeasures could jeopardize sustainability of the emerging relationship and limit thereal and potential benefits accruable to African countries from the partnerships.

Most of the measures implemented by Africa trading partners are affecting, and inmost cases hurting the developing and emerging African economies more than theyhurt the developed countries. Liberalizing trade policy measures by trading partnersof African countries remain very minimal while there is a proliferation of hurtingmeasures (See Table 2). South Africa tops the chat of African countries on the numberof discriminatory measures being faced with 80 measures and another 39 measuresthat have the potential for discrimination. This is followed at some distance by Egypt,Tunisia, Morocco and Kenya, which are facing 56, 40, 33 and 31 red measures,respectively. A notable observation is that relatively advanced economies, especiallythose of Northern Africa are more affected by these discriminatory measures. Similartrends could be gleaned from the potentially discriminatory measures. This suggeststhat the trade policy measures of several African trading partners were aimed atprotecting their domestic economies and shielding them from possible foreigncompetition from African countries.

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Red Measures52% Amber

Measures35%

Green Measures13%

Figure 1 Post-crisis measures implemented by selected Africa trading partners

Source: Based on GTA database (accessed 18 May 2010).

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Table 2 Post-crisis trade policy measures affecting African countries

Country Green Amber Red Implemented measures Total pending Number of measures measures measures affecting country measures classified pending

as amber and red measures

Algeria 5 10 24 34 4 5Angola 5 8 10 20 3 3Benin 4 5 7 13 3 3Botswana 6 5 7 15 2 3Burkina Faso 4 3 6 12 1 1Burundi 4 4 7 13 2 2Cameroon 8 6 7 17 3 4Cape Verde 4 5 5 13 1 1CAR 4 3 2 8 1 1Chad 4 4 2 8 2 2Comoros 3 3 3 8 1 1Congo 4 7 10 18 3 3DR Congo 6 7 13 25 1 1Cote d'Ivoire 5 9 23 32 5 5Djibouti 5 5 6 13 3 3Egypt 18 23 56 80 14 17Equatorial Guinea 4 6 3 10 3 3Eritrea 3 3 3 8 1 1Ethiopia 5 7 22 31 3 3Gabon 4 5 5 12 2 2Gambia 4 3 8 14 1 1Ghana 7 9 21 31 5 6Guinea 4 5 12 19 2 2Guinea-Bissau 4 4 6 13 1 1Kenya 9 9 31 45 4 4Lesotho 4 4 4 10 2 2Liberia 3 3 4 9 1 1Libya 4 7 17 24 4 4Madagascar 6 8 16 27 3 3Malawi 4 7 14 22 3 3Mali 5 3 15 22 1 1Mauritania 4 4 11 17 2 2Mauritius 6 10 17 29 4 4Morocco 8 13 33 45 8 9Mozambique 4 9 14 21 6 6Namibia 4 7 17 25 3 3Niger 4 5 11 18 2 2Nigeria 7 11 22 33 6 7Rwanda 5 4 7 13 2 3Sao Tome and Principe 3 2 5 10 0 0Senegal 6 9 23 33 5 5Seychelles 3 5 4 9 3 3Sierra Leone 4 4 4 11 1 1Somalia 4 3 4 10 1 1South Africa 26 39 80 122 20 23Sudan 5 7 16 24 4 4Swaziland 5 9 8 17 4 5Togo 4 4 15 21 2 2Tunisia 8 12 40 53 5 7Uganda 5 9 18 28 4 4Tanzania 6 11 19 30 6 6Zambia 5 7 15 24 3 3Zimbabwe 4 9 17 25 5 5

Source: GTA Database (accessed 18 May, 2010).

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Taking a holistic view of the effects of post-crisis policy measures on Africancountries, red measures are of utmost prominence, accounting for 53% of totalmeasures. If we combine this with the potential restrictive measures, they represent80% of total measures affecting African countries. This leaves only 20% of the totalmeasures as liberalizing. Again, this suggests the heavy and unexpected additionalburden being heaped on African countries during the financial crisis and recoveryperiod in addition to those emanating from the traditional channels.

In terms of impact, the restrictive policy measures can be broadly classified intotwo: minor and temporary measures targeted at specific products and complexmeasures that have the potential for significant, long-term effect on trade generallyand especially trade activities of developing and emerging African countries. Viewedby classification, these measures take the forms of subsidies, support packages, tariffand border measures. While the developed countries apply subsidies, bail-out andsupport packages to restrict the engagements of other countries in their economies,developing and emerging economies adopt border and tariff measures to achieve thesame aim.

It is discouraging to note that African countries are at serious disadvantage becauseexisting laws automatically allows for price supports in form of increased subsidieswith declines in agricultural prices. Such subsidies are prominent among thedeveloped countries such as Canada, EU countries, UK, US, Japan and South Korea.To illustrate, in the US alone, trade restricting subsidies valued at over $8 billion wasrecorded with a projection for a rise to about $10 billion in 2009 (Gamberoni andNewfarmer 2009).

African trading partners have adopted varying and diverse restrictive anddiscriminatory trade policy measures during the period of financial crisis. Some ofthese are local content requirement, bailouts, export subsidies, export restrictions,investment measures, public procurement, trade defense measures, import duties,import ban, import licensing, price referencing, and other services, technical andtrade defense measures.

One key observation on the response of African countries to these trade restrictivemeasures is that only relatively developed African countries are able to respond with

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Red Measures53% Amber

Measures27%

Green Measures20%

Figure 2 Post-crisis trade policy measures affecting African countries

Source: Based on GTA database (accessed 18 May 2010).

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retaliatory measures. These countries are usually the North African countries andSouth Africa. For instance, South Africa has used both border and behind bordermeasures aimed at restricting trade, especially from the developed countries. Thecountry has a significant support package for the local clothing and textile industrythat include procurement provisions. This general support is extended to bordermeasures that include a planned increase in import tariffs for to up to 45 percent for35 categories of textiles and clothing. Again, this is worrisome given the role of SouthAfrica in intra-African trade and the fact that the restrictions do not exclude Africancountries.

3 Evidence of the effects of foreign trade policy measuresadopted during the financial crisis on economic performance inAfrica

The trade policy measures implemented by trading partners of most African countrieshave had both positive and negative impact on economic performance of Africancountries. While there are a pocket of measures that have impacted positively onthese economies through increased exports, imports of critical inputs, domesticemployment creation and increased investment opportunities, most of the measureshave had severe adverse effects on the economy. Some of these negative effectsinclude sharp decline in exports, FDI, private capital flows, national savings, rise inunemployment, worsened terms of trade and current account balance. In this section,we provide selected specific discriminatory policy measures adopted by some Africantrading partners and encapsulate their effects on these economies by examining thetrends in some basic macroeconomic and trade indicators.

The elimination of export duties or interim export duties by China in January 2010on 17 tariff lines involving minerals, iron and steel has had a positive effect on someAfrican countries4. It is noteworthy that several African countries depend on Chinafor supply of cheap processed iron and steel for infrastructure projects development.Some of these countries include Angola, Cameroon, Ethiopia, Nigeria and SouthAfrica. China's policy to eliminate tariff on these commodities has further reducedthe cost of imports of these materials, thereby helping African countries to benefitfrom the relatively cheaper materials for both private and public infrastructure andconstruction projects. The reduction in cost of processed iron and steel resulting fromthis move has also strengthened China's engagements in infrastructure developmentin Africa given the relatively lower cost of iron and steel and with potential increasein number of projects. Given the high infrastructure gap in Africa, this policy measureis a welcome development as it holds the potential for closing this gap through costreduction.

On the other hand, Indonesia issued a new policy measure aimed at the contrary.Effective 31st December 2009, the country introduced a new regulation on domesticmarket obligation aimed at prioritizing mineral and coal for use in the domestic

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4 http://www.globaltradealert.org/measure/china-elimination-export-duties-certain-mineral-and-iron-or-steel-products

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economy5. The regulation requires that producers of these resources allocate certainminimum percentage for domestic consumption at the expense of exports. Strictcompliance is required as extreme sanctions are imposed on firms for non-compliance. Such restrictive measure could starve developing African countries ofthese requisite resources for use in infrastructure development. Earlier and beginningfrom November 2009, Indonesia imposed stricter regulation on fruits and vegetableimports, demanding checks on imports for hazardous chemical residues6. While thismay seem good when viewed from health point of view, it could be easily abused andused in controlling general imports, especially imports from African countries underthe guise of non-compliance. If so abused, this will have severe effect on employmentand general welfare given that almost all African countries are engaged in and dependon agriculture exports, with greater percentage of their workforce engaged in thissector.

The US "American Recovery and Reinvestment Act of 2009" is a major foreignpartner policy with very strong negative effect on African economic performance,especially trade and investment. Signed into law in February 2009, thecomprehensive bailout and procurement package provides support for the Americaneconomy to the tune of $787 billion with provisions for "Buy American"7. Thisprovision extends to commodities usually exported by African countries to the US,prominent among which are textiles and textile fibers, yarns and spun silk yarn,fabrics, etc. While this might not override the AGOA Initiative, the implication forAfrican countries is that the competitiveness of fledging agriculture and industrialproducts and its potential entry into the American market is temporarily diminished.

On February 18, 2010, the French government exerted pressure on themanagement of Philips to restart dialogue with staff to ensure jobs are saved for thoseemployed in the firm in France8. This move portends a negative effect on South Africawhere Philips has a major factory and office that employs several local people. Thisnegative effect emanates from the fact that employment protection for Philips'employees at home might require reduction in foreign subsidiary operations,including South Africa. This would result in lower foreign direct investment andpossible divestment by the company in South Africa, employment will reduce,welfare loss will follow as those who lose their jobs would experience higher poverty.

In February 2010, the French government exerted pressure on Total to rethink itsdecision to close the refinery in Dunkirk because this would lead to loss of both directand indirect jobs9. Caving in to this pressure, Total was forced to guarantee jobs forthe workers, confirming its decision against earlier move to close the refinery.However, this was achieved at the expense of foreign commercial interest becauseTotal will most likely transferred the cost to its subsidiaries abroad through reducedinvestment and general operations in foreign subsidiaries. One of the Africancountries that would bear the brunt of this reduced investment and operations is

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5 http://www.globaltradealert.org/measure/indonesia-domestic-market-obligation-dmo-mineral-and-coal-producers

6 http://www.globaltradealert.org/measure/indonesia-stricter-regulation-fruit-and-vegetable-imports7 http://www.globaltradealert.org/measure/united-states-america-expanded-buy-american-provisions-

public-projects8 http://www.globaltradealert.org/measure/france-government-pressurises-philips-preserve-jobs-dreux9 http://www.globaltradealert.org/measure/france-government-pressurises-total-preserve-jobs-dunkirk

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Nigeria where Total is involved in oil exploration and marketing. This could involvescaling down on staff and complete hold on new investment and jobs. This could alsohave significant impact on oil production in the country, worsening the declining oilproduction resulting from insecurity in the Niger Delta region of the country.

The comprehensive bailout package of the Russian Federation that was approvedin June 2009 has also had negative effects on African countries10. The discriminatorysupport the package provided for agriculture, textile and timber processing sectors arethe main channels through which the negative effects spring. About €5 billion worthof support was provided for the agriculture sector in 2009, about 45% higher than thesupport provided in 2008. This support includes subsidy for bank credits to farmersand provision of agricultural machines and equipment. In addition, €7.6 million wasallocated for subsidizing interest rates on banking credits for the wood sector, and tocreate seasonal reserves of rough wood and fuels. This move further restricts andlimits exports from several African countries to the Russian Federation.

In response to the effects of the financial crisis and fundamental structuralproblem facing the agriculture sector, the French government provided a rescuepackage worth €1.65 billion for its farmers in October 2009 with the intent ofdefending the 'French national identity'11. This rescue package consists of €1 billionsubsidized bank loans with a range of just 1% to 1.5% interest rates and €650 millionin land and energy tax cuts coupled with reduced social charges. The measures areaimed at activities meant for exports, thus discriminating against foreign farmers.Earlier, the same country implemented similar discriminatory policy that focused onimproving international competitiveness of the fruits and vegetables sector withfinancial support worth €15million in August 200912. The EU countries took similarstep in July 2009 when the European Commission approved 16 programs in 12member countries13 aimed at supporting EU's agriculture production in organicproducts, dairy products, meat, wine, fruit and vegetables, olive oil, honey andflowers14. The program valued at €62.1 million was aimed at strengthening EU'sagriculture product competitiveness in the international market. This is a directcompetition and discrimination against agriculture products from African countriesas the negative effects of this protectionist policy measure on African exports into theEU and third market is easily discernible.

Switzerland has adopted similar discriminatory policy aimed at protecting itsagriculture sector15. In October 2009, the Swiss Federal Council approved 28 millionSwiss franc aimed at supporting agriculture production, increasing credit pricecompensation by 18 million Swiss francs. The objective of the credit was to ensurethat local raw materials including butter, milk powder and grain are used in food

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10 http://www.globaltradealert.org/measure/russia-programme-anti-crisis-measures-russian-government-2009

11 http://www.globaltradealert.org/measure/france-immediate-eur-165-billion-rescue-package-french-farmers

12 http://www.globaltradealert.org/measure/france-new-subsidies-fruits-and-vegetables-sector13 The member countries are Austria, Belgium, Finland, France, Greece, Italy, Luxembourg, Latvia, the

Netherlands, Portugal, Spain and the United Kingdom. 14 http://www.globaltradealert.org/measure/ec-support-promotional-activities-agricultural-products-12-

member-states15 http://www.globaltradealert.org/measure/switzerland-federal-council-approves-chf-28-million-

agricultural-sector

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manufacturing instead of foreign ones. In addition, subsidy for cattle breeding andproductive livestock exports was increased to a maximum level of 1.5 million Swissfrancs with the aim of stabilizing the milk and meat markets. Furthermore, theamount of direct payments for open farmland was increased from 620 Swiss francs to640 Swiss francs per hectare, bringing the total financial commitments to 6 millionSwiss francs.

Developed countries have also responded to the financial crisis by adoptingprotectionist immigration and employment policies that discriminate againstforeigners, including Africans (McCabe, Lin and Tanaka 2009). There have beenrestrictions on immigration in these countries with many of them announcingchanges to work permits for foreigners. Some of these countries that earlier proposed'carrot' measures have resorted to using 'stick' to achieve their protectionist policy. InFebruary 2009, Czech Republic adopted a protectionist immigration policy measuretargeted at the non-EU migrants to return home. In Italy, illegal immigration wasrecently made a criminal offense. Moreover, France and Italy are encouraging otherEuropean Union countries to adopt tighter border patrolling measures, especiallyalong the Mediterranean Sea. These protectionist measures affect migrant Africansmore than other nationals given the large number of Africans in these countries.

The United Kingdom announced changes to its high-skilled migration criteria in2009. Beginning April, highly skilled immigrants (Tier 1) seeking to enter the UnitedKingdom are required to hold master's degree and earn at least 20,000 pounds perannum (approximately US$31,000)16. This is a significant upward revision from theprevious conditions that required a bachelor's degree and 17,000 pounds annualincome (approximately US$26,400). In the same vein, employers seeking to bringskilled workers into the UK are mandated to advertise such job to resident workersthrough a government-run job web site for two weeks, with extension to four weeksas of mid-December 2009. This is to be complemented by one other permittedmethod before a non-European Union worker can be brought into the UK. Moreover,the government has reduced the list of jobs on the skilled shortage occupation listfrom 700,000 to about 500,000 over the last year. This policy seriously discriminatesagainst African migrants who are generally of lower qualifications and skills. It alsotend to discourage the migration of African youths that are interested in seekingeducational qualifications at vocational, technical, bachelor's and master's levels. Thiscould seriously hamper skills and educational development that are required for thelong-term economic growth and transformation of African countries.

Ireland instituted similar policy measures when the Minister for Enterprise, Trade& Employment announced changes to the work permit and green card regimes on 15April 200917. Effective 1st June 2009, the Irish government began restricting eligibilityand imposed tougher tests for the issuance and renewal of work permits. Specificvarious middle-level jobs were declared ineligible for green cards. The new policy ispremised on the decision "to allow the maximum opportunity for any available jobvacancies to be filled from within the Irish labor market and wider EEA". Jobs inhealthcare, financial services and industry/service that pays between €30,000 and€60,000 have been removed from the Green Card list. Issuance of new work permits

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16 http://www.migrationinformation.org/Feature/display.cfm?id=75917 http://www.migrationinformation.org/Profiles/display.cfm?ID=740

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for low-paid jobs was scrapped, stiffer penalties in form of higher fees and labormarket requirements are required for work permits renewal, jobs such as domesticworkers and low-paid jobs are classified as ineligible for new work permits. Theperceived negative effects of this policy development on African countries is throughloss of job and remittances of emigrant Africans in this country to family membersleft behind at home.

Table 3 provides an encapsulation of the effects of protectionist trade, investmentand migration policy measures on African countries. A major highlight of thenegative effects of the post-crisis trade policy measures on African countries is declinein imports, exports and net FDI and worsened terms of trade and current accountbalance. It is hoped that as the global economy recovers and partners of Africancountries relax and desist from the current protectionist measures, Africa willgradually recover from its current weak economic condition, as demonstrated by theprojections for most economic and trade indicators.

Recent studies have endeavored to analyze the impact of foreign trade policymeasures on African trade. For instance, using sectoral bilateral trade data for 1976-2002 and a gravity equation approach, Berman and Martin (2010) quantify thedeviation of exports from their "natural" level generated by financial crises. They findthat African exports are more sensitive to large negative income movements in thecountries they trade with, and this hold true for both manufacturing and primarygoods exports. The study concludes that disruption effect is the main channelthrough which a given fall in income and demand by African trading partnersadversely affect African exports.

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Table 3 Pre- and post-crisis performance of Africa in selected indicators

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Investment 17.4 18.1 19.5 19.3 19.7 19.4 20.3 21.5 22.0 21.7 22.6 22.8(% GDP)

Savings 18.1 16.8 16.1 16.7 18.3 19.2 24.8 22.6 23.3 20.3 21.6 21.5(% GDP)

Inflation rate (%) 15.4 14.1 11.2 10.9 7.6 8.9 7.3 7.1 11.6 10.6 8.0 6.9Import goods -1.6 8.1 8.2 7.4 6.9 11.7 6.8 15.6 11.1 -7.9 11.9 6.8

& services(% change)

Export goods 9.3 2.1 2.1 6.7 7.7 6.6 3.8 7.3 0.3 -7.0 7.0 6.2& services(% change)

Terms of trade, 6.4 -2.6 0.0 3.1 3.9 10.0 8.0 2.0 10.2 -14.8 10.6 1.0goods & services(% change)

Current account 0.6 -1.6 -3.9 -3.0 -1.6 -0.4 4.3 1.2 0.9 -2.1 -1.7 -2.0balance(% GDP)

Net FDI 6.2 17.9 10.7 12.7 11.8 16.7 9.0 22.9 32.6 22.8 25.4 30.8($billion)

Source: World Economic Outlook Database, April 2010.

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4 Policy reflections

One major policy reflection on the actions of African trading partners during thecrisis is the need to further broaden economic based and exports of African countries.As earlier observed, African countries were affected most through the policy measuresthat discriminate against entry of African agricultural commodities into the marketsof trading partners and into third market. Continued and intensified production andexports of primary commodities will deepen the competitive problems facing Africancountries with limited room to maneuver in times of crisis like this. On the otherhand, capacity for economic and export diversification into higher value productswill provide some latitude for African countries and better negotiating power in itstrading relationships.

Specific policy actions are required to help diversify economic base and trade inAfrican countries. One, countries should work to improve productivity of agriculturethrough value-added processing of existing commodities as opposed to the currenttrend of exporting them in their raw forms. For instance, instead of continuing toexport tomatoes, corn, cocoa, vegetables in their raw form, efforts should be made toensure movement up the value chain by processing them into paste, thus improvingtheir value and lifespan. In addition, countries should vigorously work at adoptinghigh yield products and improved use of technology to increase quantity and qualityproduction of existing products and include new products. Two, the re is need forinnovation in services through better technology to reach more people. A classicalexample here is mobile banking. A good percentage of Africans remain unbanked.Such innovation in e-banking as demonstrated in the case of Kenya has a very highpotential for broadening economic base for self-reliance. Finally, resource-rich Africancountries need to invest a good chunk of the revenues accruing from resources inother sustainable activities such as agriculture and industry. Moreover, they need toinvest more in resource exploration and development than in exploitation. This willhelp in the discovery of new untapped resources while improving the level ofexploitation of existing ones.

The post-crisis policy actions of African trading partners also drive home theimperatives for domestic resource mobilization. Most African countries were, to someextent, helpless in the face of the crisis due to limited resources and thus could notdo much to rescue their sinking economies nor counter the discriminatory measuresadopted by their trading partners. Worse still, many of these that depend on foreignaid could not receive the pledged aid commitments from their development partnerswho were busy bailing out their own economies. The crisis has revealed the futility ofcontinued dependence on developed countries and development partners inproviding the required financial resources for financing long-term economic growth.African countries need to intensify efforts aimed at looking inwards and developingstrategic policies for mobilizing domestic resources for long-term economic growth.

There is also need to concentrate on reducing supply-side and cost raisingconstraints. For instance, the elimination of import tariff on natural rubber18 andreduction of import tariff on articles of apparel, clothing accessories and other articles

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of furskin19 by the Russian Federation provides excellent opportunity for severalAfrican countries producing this commodity to deepen market entry in to the Russianmarket. However, the supply-side constraints largely limit the extent to which thisopportunity could be exploited. Put together, supply-side constraints increase cost ofproduction, worsening the competitiveness of African products in the internationalmarket. Some of the constraints that require urgent attention are infrastructuredeficiency that includes roads, railroads, electricity, port infrastructure andmanagement, installed industrial and manufacturing capacity. In addition, there isneed to improve electricity generation in most African countries as this continue torepresent a major operating cost for producers. This can be done through public-private partnership initiative as there are several local and foreign private firms thatare interested in such projects. Reducing these constraints will further reduce the costof production and ease market entry for African commodities vis-à-vis theircompetitors.

Finally, the policy actions of Africa trading partners have demonstrated the needto act swiftly to conclude the WTO's Doha Development Agenda. Developedcountries will continue to effectively exploit discriminatory tariffs and subsidies onagriculture products as deemed fit without consideration for developing tradingpartners. Concluding the negotiations and finalizing on import and export rules asthey relate especially to agriculture commodities will provide safeguards fordeveloping African countries.

5 Conclusion

This paper sets out to examine the nature of post-crisis trade measures adopted andimplemented by Africa trading partners and assess the nature and extent of impacton trade and commercial interests of African countries based primarily on thequalitative policy measures in the GTA database. Pre-crisis liberal and benign globaltrade regime has been a major positive for the encouraging economic performance ofAfrican countries in recent times. However, discriminatory and restrictive post-crisistrade policy measures implemented by most Africa trading partners seriouslyundermine the successes achieved and threaten post-crisis recovery. This paper hasenhanced our understanding on the nature of policy measures implemented by Africatrading partners during the crisis. A very clear finding is that most Africa tradingpartners have resorted to protectionist and discriminatory trade policy measures thatare of great disadvantage to African countries. The effects of these measures on tradeand economic performance of the continent has also been elicited. Among otherthings, the policy measures have resulted in sharp decline in imports and net FDIcoupled with worsened terms of trade and current account balance. The policyreflections reveal what urgent actions are required to correct the current factorsdiscriminating against competitiveness of African economies and exports in themarkets of partners and in the third market. To correct these perceived negativeeffects and ensure quick recovery, African countries must work at broadening their

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economy and export base, significantly improve domestic resource mobilization asdescribed above.

References

Berman, Nicolas and Philippe Martin (2010) "The vulnerability of Sub-SaharanAfrican countries to financial crises: the case of trade", CEPR Discussion Paper7765.

Evenett, S. (2009) The Unrelenting Pressure of Protectionism: The 3rd GTA Report. Centrefor Economic Policy Research (CEPR).

Gamberon, Elisa and Richard Newfarmer (2009) Trade Protection: Incipient butWorrisome Trends. Trade Notes No 37, March 2. International Trade Department,PREM, The World Bank.

McCabe, Kristen, Yi-Ying Lin, and Hiroyuki Tanaka (2009) Pay to Go: Countries OfferCash to Immigrants Willing to Pack Their Bags. Migration Policy Institute, PiotrPlewa, European University Institute. Available at http://www.migrationinformation.org/Feature/display.cfm?ID=749.

About the author

Eric Kehinde Ogunleye is an open economies macroeconomist with strongbackground in macroeconomics, econometrics, international trade and finance. Ericholds a Ph. D and M. Sc. in Economics from the University of Ibadan and a B.Sc. ineconomics, (Suma cum Laude) from the University of Calabar. As a PhD student, Ericwas a recipient of the prestigious African Economic Research Consortium'sscholarship for the Collaborative Ph.D. programme in Economics for sub-SaharanAfrica. Eric was at the University of Cambridge in 2008 to attend the CambridgeAdvanced Programme on Rethinking Development Economics. He was a Ph. Dresearch intern at the United Nations University's World Institute for DevelopmentEconomics Research in Helsinki, Finland where he worked on exchange rate andforeign direct investment issues. He has work experiences at the WTO and UNCTADin Geneva. At UNCTAD he worked with the team that prepared the UNCTAD'sflagship publication, World Investment Directory for Africa in 2008. He has publisheda number of articles in reputable economic and business journals in addition to activeparticipation in international research conferences.

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1 Introduction

The financial crisis has inspired writings from many scholars since 2008. Theorientation given in their different writings varies widely. Indeed, while some focusedon the causes of the financial crisis, others have tried to assess its impact.

Although, at its onset, many thought that it will not have any bearing on Africagiven the negligible connectivity of African markets to the world economy, time hasnow shown that those who made these initial statements were wrong. Indeed, thefinancial crisis hit the African economies both directly and indirectly and it has evenbeen argued that African countries suffer and will continue to suffer more from thefinancial crisis and its aftershocks than other countries. This is so because accordingto a number of scholars, African countries are not only ill-prepared to resist the shockbut also, they do not have the resources (financial as well as human) to bail outtroubled companies and even if they did, could they sustain such actions if the crisiswas to last longer than expected?

Despite these views on the incapability of African countries to seriously andeffectively address possible impacts of the financial crisis, countries have takenmeasures (individually or collectively). The main objective of this paper is tocontribute to the understanding of the impact of the financial crisis on Africaneconomies (especially trade) and how it was dealt with. More specifically, the paperassesses the impacts of the crisis then identifies measures taken to address / mitigateissues arising from the financial crisis (i.e. protecting their economies from thepossible shocks emanating from the direct and indirect impacts) and identifieslessons that can be learnt from African policy makers' actions or inactions.

The paper is organized as follows: the next section presents an overview of thepossible impacts of the financial crisis on African economies; section 3 presents themeasures taken by different countries to address the challenges posed by the financialcrisis with a brief analysis; section 4 draws possible lessons from the crisis andconcludes the paper.

2 Brief overview of the possible impacts of the financial crisis

The impacts of the financial crisis on Africa are manifold. There are direct as well asindirect impacts. The impacts vary from one cluster of countries to another. In whatfollows, we look at the impacts of the financial crisis from different angles i.e.resource rich vs. resource poor.

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2.1 Impact on resource-rich countries

Resource rich countries experienced rapid growth prior to the crisis (as a result of thecommodity boom). It is argued that these countries are the one who suffered the mostfrom the financial crunch due to terms of trade deterioration. Indeed, with globaldemand shrinking, prices of most commodities dropped to significantly lower levels.Exporting countries were therefore losing exports revenues and at the same timelosing much needed foreign exchange. The consequences of such losses on theeconomy are huge. Indeed, as the IMF's World Economic Outlook Report in April2008 stated, 1% point slowdown in global growth, which in turn shrinks globaldemand, can lead to an estimated 0.5 percentage point slowdown in Sub-SaharanAfrican countries. In figure 1 below, resource-rich countries registered a sharp drop intheir exports of goods and services from 2008 to 2009. Although these countries areexpected to recover in 2010, this recovery is not expected to bring them up to theirlevel before the crisis. These countries are therefore worse-off than before the crisis.

In addition to the above impacts, the financial crisis has built up pressure ondeveloped countries. As a reaction to that pressure/stress, they have moved to tightenglobal credit availability and this has in turn hit trade finance and other capital flowsto developing countries especially those in sub-Saharan Africa that rely heavily onthese resources to finance their development plans and address poverty andemployment related issues. The African Development Bank summarized some ofthese impacts in its policy briefs on the financial crisis in 2009. The relevant one tothis work are presented below1.

In South Africa for instance, the financial sector experienced a collapse of assetprices, dramatic increases in the cost of capital and a severe contraction in lending.This led to sharp downturns in the retail and manufacturing sectors. Between May2008 and March 2009, South Africa's JALSH index fell by about 46% and the Randdepreciated by 23% against the dollar. The South African mining sector alsoexperienced a large fall in output and employment as a result to lower world demandfor commodities. About 32,000 mining workers were retrenched in the third quarterof 2008 in South Africa.

In Nigeria, investments, output and government revenues also fell significantlydue to declining prices of hydrocarbons (oil and gas). In that country, oil and gasextraction accounts for 30% of the economy's GDP, over 90% of its exports and alarge share of government revenues. Consequently, any significant drop of revenuesemanating from oil/gas could be disastrous to the country's economic stance. Theweak performance of the oil and gas sector caused a slowdown of the banking sectorand the economy at large.

In Botswana, diamond exports represent about 35 to 50% of government revenues.The rapid fall in mineral revenues due to the financial downturn has limited thegovernment's ability to finance economic recovery plans and increased the highvulnerability of the country's economy to external shocks. The consequences on therest of the economy could be devastating since limited resources meant that socialsectors (health and education) will face financial rationing (budget cuts). This canalso lead to massive unemployment in the sector as companies are forced to adjust tothe crisis for their own survival.

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1 AfDB (2009), Policy Briefs on the Financial Crisis: Impact of the crisis on African Economies Sustaininggrowth and poverty reduction No 8.

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In the Democratic Republic of Congo, around 61 foreign mining companies havebeen forced to scale back, postpone or abandon their investment plans. These miningcompanies have taken various actions for their survival including the suspension ofoperations and / or the withdrawal of exploration agreements. Figure 1, shows a sharpdecline of the country's exports of goods and services from 2007 onward. ByDecember 2008, the DRC Ministry of Mines had reported that more than 200,000jobs had been lost in the sector and further 200,000 were expected to be lost in 2009(African Development Bank 2009-1). The victims of this retrenchment will surelyinflate the poverty profile of the country in the coming year. It is good to alsomention that as a result of the financial crisis foreign reserves in that country weredown and could barely cover one month of imports of goods and services in 2008.

In Angola, an oil-producing country, government revenues are on the decline dueto falling oil price. This can be observed on figure 1, where we have a sharp drop ofthe country's exports of goods and services from 2008 to 2009. The non-oil sectors(construction, manufacturing and services) heavily dependent on public sectordemand are also experiencing slowdowns leading to global slowdown of theeconomy which is expected to contract by 7% following a growth rate of 15.8% in2008.

In Sudan, oil accounts for about 65% of government revenue and 90% of exports.The decline in oil exports certainly exert pressure on investments and put at riskexpenditures on social sectors including health and education.

The negative terms of trade shock to commodity exporters will continue to widentheir current account deficit although it will be done at a slower pace. This willexercise constraint on their external accounts. Indeed, as the figure 2 on externalaccount shows, the resource-rich countries experienced a worsening of their externalaccount balance from 2007 to 2009. Although the oil producing countries i.e. Angolaand Nigeria will be recovering in 2010 due to recent rising price of oil. The depressionis expected to continue for the other resource-rich countries. Similar trend is observedfor their fiscal balance (see figure 3). Indeed, with the exception again of the Oilproducing countries (Nigeria and Angola) that are expected to recover in 2010, theothers will continue to feel the impact of the financial crisis on their fiscal balance.

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Figure 1 Exports of goods and services from 2003 to 2010 for resource-rich countries (% GDP)

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In total, it results from the above that for all the resource-rich countries, the crisishas underscored the imperative need for export diversification in reinforcing theresilience of their economies to external shocks.

2.2 Impact on resource-poor countries

Although resource-poor countries benefited from falling oil prices, these gains werelargely offset by declining prices of other commodities such as cotton, cocoa, andcoffee (just to cite a few), declining tourism earnings, foreign direct investments anddeclining remittances thereby negatively affecting foreign exchange reserves in thesecountries. In Burkina Faso for example, export growth dropped from 6.9% in 2007 to3.5% in 2008, following the fall in cotton production and the decline in lint cottonexport. The balance of trade sharply deteriorated under the combined impact offalling agricultural production and declining lint cotton export (Kasekende et al.,2009).

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-15-10

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Figure 3 Overall fiscal balance including grants for resource-rich countries (% GDP)

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Figure 2 External account including grants for resource-rich countries (% GDP)

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The financial crisis has also amplified the impacts of the food crisis. Indeed, thedepreciation of national currencies against major reserves currencies as a result of thefinancial crisis has raised the cost of food imports and this is harder on economies(mostly resource-poor countries) that have large deficits in food trade. In thesecountries, attempts to subsidize food and oil prices have proved unsustainable due tolow government revenues and falling exchange reserves.

In Ethiopia for instance foreign reserves have been reduced and credit to privatesector is declining considerably as government increased its domestic borrowing tofinance the oil subsidy bill. In Kenya, total usable reserves (official plus commercialbanks holding) fell from $5,287 million to $4,726 million in just six months (August2008 to February 2009). By the end of February 2009, the Kenyan Shilling haddepreciated by 15.7% against the dollar2. With the exception of Ethiopia, figure 4,below shows that fiscal balance of Ghana, Kenya and the Gambia registered andsharp decline from 2007 onward. Ghana recovered a bit in 2009 after a continuouswidening of its fiscal balance but that recovery is not expected to last.

Countries where the tourism sector is one of the drivers of growth also sufferedfrom the financial crisis. These countries experienced declines in tourism arrivals andreceipts, hotel bookings and air travel. They include Kenya, Tanzania, and Tunisia,etc. In Kenya, tourism receipts were down 13% in the 4th quarter of 2008 comparedto 2007. Kenya Airways reported a decline in profits by 62.7% for the six monthsending September 2008. In 2008 the number of tourist arrival drop to 1.1 millioncompared to the 2 million arrivals registered in 2007 (Kenya 2010). Although thisdrop was primarily due to the post election violence in that country, the financialcrisis also added its toll in the later part of 2008.

For these countries, the decline in the tourism sector is reversing recent gainsthereby undermining the countries efforts to build up their foreign exchange reservebase. It is clear that any slowdown of the tourism sector directly affects theemployment situation in these countries since this is a sector with very high jobcreating potential. Reduced tourist arrivals also threatened tourist dependenteconomies like Djibouti and the Gambia. With the exception of Ghana where 2009

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2 Report from the Committee of African Finance Ministers and Central Bank Governors established tomonitor the crisis (march 2009).

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Figure 4 Overall fiscal balance including grants for resource-poor countries (% GDP)

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registered a slight recovery (which could be due mainly to the visit of the AmericanPresident Obama to the country), other non resource-rich countries will continue toexperience widening deficit of the external account (see figure 5).

Other areas of impact include remittances and foreign direct investment (FDI)although their importance varies considerably across the continent. Countries(mostly resource-poor) with high dependency on remittances (as percentage of exportearnings) include Lesotho (60%), Uganda (40%), Senegal, Guinea Bissau, Togo, Beninand Burkina Faso (15-25%). Workers' remittances are important source of householdincome and key in poverty alleviation strategies in these countries. Remittances toAfrica were estimated to about $25 billion in 2008 (African Development Bank 2009.).Since these remittances originated from migrant workers in developed countries, themounted pressure of the financial crisis on these countries has resulted in a slowdownin remittances flow. Indeed, as global demand shrinks, so does the demand forunskilled labor (mostly migrant) a survival strategy but aiming also at protectingdomestic jobs. Resource poor countries suffered the most from such slowdownalthough due to the absence of alternative sources o income to compensate for thelosses. The drying up of remittances also affects countries that are not necessarilyresource-poor. For instance in Egypt remittances represent more than 32% of totalservice receipt in the balance of payment account (AfDB 2009).

Although the bulk of remittances to Africa originate from Europe and NorthAmerica, Intra-African remittances are not negligible especially in countries sharingborders with mineral rich countries. These intra-African remittances are alsodeclining due to losses in the mining sector. Indeed, the decline in prices ofcommodities such as Gold, Platinum and Diamonds has affected demand for laborwhich led to the laying-off of migrant workers from neighboring countries, therebyreducing remittances flow to countries of origin. Declines in remittances contributeto foreign exchange shortages and increased poverty, as some of the most vulnerableand poorest populations lose a significant source of income (Ali, 2009).

For FDI and Aid, it is clear that with the pressure of the financial crisis ondeveloped countries they are less inclined to generosity. Thus, international Aid flowhas dropped as a consequence to the crisis. Moreover, the tightening of global credithas led to a significant reduction in private investment flows and bank financing,resulting in reduced capital flows and a curtailing of the availability of trade finance

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Figure 5 External account including grants for resource-poor countries (% GDP)

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and also reduced foreign direct investment (Balchin 2009). The reduction of FDI hasa medium and long term impact on infrastructure investments in African States.Indeed, investments were stalled in many countries (DRC, South Africa just to cite afew).

It results from the above that the financial crisis has caused (although some otherfactors also contributed to it) decline of domestic demand in both resource-rich andresource-poor countries. This in turn has reduced income and inhibited efforts for jobcreation thereby endangering prospects for sustainable growth. Since a significantreduction in growth will reverse the modest gains made over the past years which willworsen the poverty situation. It is critical that actions are taken to mitigate theimpacts of the financial crisis on these economies. What are some of these actionstaken?

3 Policymakers' reaction and brief analysis of measures taken

Although, at the onset many scholars thought that Africa was protected from theimpact of the financial crisis and that there was nothing to fear, the empiricalevidence gathered show that after all Africa was not immune. As the impacts startedto be felt policymakers did not stay idle. Indeed, a number of African governmentstook initiatives to mitigate the impact of the financial crisis despite their limited andinadequate resource endowment in relation to the scale of the impact. Central Banksin Africa (BCEAO for the CFA zone, Central Bank of Nigeria just to name a few) andthe African Development Bank including some governments set up special units tomonitor and identify the advance of the crisis and formulate targeted policyresponses. The range of intervention was very wide going from stimulus package toregulations in the banking sector, capital and exchange controls, budget revision etc.The main measures taken as a response to the financial crisis are presented below witha brief analysis.

3.1 Stimulus packages

Following the footsteps of developed and emerging economies, some Africancountries implemented fiscal stimulus plans when others were forced to undertakecontractionary fiscal policies. The countries that opted for stimulus plans include (butnot limited to) the following: Mauritius, Nigeria and South Africa.

In Mauritius, the Government announced a package worth 10.4 billion ofMauritian Rupees (US$ 0.3 billion), approximately 3% of Mauritius GDP to boostdomestic demand and increase job creation.

In Nigeria, the Central Bank adopted a 400 billion naira (US$ 2.7 billion) bail outfor 5 banks after sacking the CEOs and executive directors of the banks (Measure#0386 | Published 18 Aug 2009)3. The banks are Oceanic bank, Intercontinental bank,Finbank, Union Bank and Afribank. Acting CEO's were immediately appointed andthe central bank has guaranteed foreign loans and corresponding banking lines of thebanks. The five banks account for 40% of banking sector credit in the country. In

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3 For details of this and subsequent measures cited, see http://www.globaltradealert.org.

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addition, the Central Bank injected 200 billion naira (US$ 1.3 billion) into four banksthat an investigation revealed were in a "grave situation." The four banks were: SpringBank Plc, Equatorial Trust Bank Ltd., Wema Bank Plc and Bank PHB Plc. A fifth bank,Unity Bank Plc, was found to have insufficient capital for its current level ofoperations but has a healthy liquidity position and no indication of poor corporategovernance practices.

In South Africa, the Department of Trade and Industry made loans available todistressed companies in manufacturing sectors identified in the National EconomicDevelopment and Labor Council (Nedlac) Framework Agreement, as distresses. Thesectors included: Automotives, Clothing and Textiles, Capital Equipment, TransportEquipment and Metals Fabrication. In addition, the Industrial DevelopmentCorporation (IDC) made 6 billion rand available over two years to a number of firmsin different sectors and has approved loans to 11 companies to the value of 644million rand.

These measures although criticized to some extent (especially the Nigeriandecision to bail out 5 banks) enable these countries to harness trust and confidencein their business environment and demonstrated if need be that African policymakerscan be up to the task of taking difficult decisions when challenged.

3.2 Budget revision

Unlike the above countries that opted for stimulus plans, a number of other countriespreferred to revise their budget thus:

In Zambia, the Budget was revised to address issues related to changes in sometaxes and VAT treatment of certain items to stimulate growth and ensure theavailability of adequate funds for government (Measure #1047 | Published 29 Dec2009). The measures included: an increase in income tax rate on profits from exportof cotton to 35% from 15%; Reduction of excise duty on clear beer from 75% to 60%to prevent tax evasion; Increase in export levy on cotton-seed from 15% to 20%;Increase in customs duty on cellular phone handsets from 5% to 15%; in the miningsector, the Government removed the windfall tax and retained the variable profit taxand increased capital allowance to 100% as an investment incentive. TheGovernment also reduced customs duty on heavy fuel oil from 30% to 15% andremoved customs duty on copper powder, copper flakes and copper blisters. Fordevelopers and investors in the Multi-Facility Economic Zones (MFEZ) and Industrialparks, the Government agreed to the removal of withholding tax on managementfees, consultancy fees and interest re-payments to foreign contractors; Zero ratesupplies to developers of MFEZ and industrial parks; Foreign suppliers to the MFEZand industrial parks were exempted from reverse VAT charge; Equipment andmachinery imported for the development of MFEZ and industrial parks wereexempted from customs duty. The Government removed import duty and zero-ratedinsecticide-treated curtains for VAT purposes and customs duty on cranes and garbagedumpers to encourage investment in keeping the country clean

In Namibia, the Government adopted a new budget that lowered Corporate tax fornon-mining operators from 35% to 34%; increased excise duties on Malt beer(increased by 7 cents to 79 cents per 340ml can), on unfortified wine (increased by 14cents to N$1.98 per liter), on fortified wine (increased by 32 cents to N$3.72 per liter),

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on spirits (increased by N$3.21 to N$25.05 per 750ml) and on cigarettes (increased by88 cents to N$7.70 per packet of 20"), with the view to generating additional revenue(Measure #0251 | Published 13 Jul 2009).

In Tanzania the 2009/10 budget included i) zero-rating for certain services whenexported; ii) zero-rating VAT on locally manufactured bags; iii) exempting importduty on hand hoes and other imported agricultural inputs; iv) exempting VAT on theservices of loading and unloading into local vessels of incoming cargo from outsidethe country provided that the initial service of unloading the cargo from a foreigngoing ship at the first point of disembark was charged VAT; v) increasing prices of beermade from local un-malted cereals from shilling 194 per liter to shillings 209 per liter,other beers from shillings 329 per liter to shillings 354 per liter, wine produced withmore than 25% imported grapes from shillings 1,053 per liter to shillings 1,132 perliter"; vi) increasing excise duty on cigarettes made with less than 75 percent domestictobacco content ; vii) reviewing all tax exemptions granted to private companies(Measure #0373 | Published 17 Aug 2009). These measures are clearly discriminatoryand aim at protecting companies using more domestic input content.

In Zimbabwe the 2010 budget included the following measures: i) Reduction incorporate tax rate from 30% to 25%; ii) Increase in mineral royalties on preciousmetals such as gold and platinum from 3% to 3.5%; iii) Export tax rate of 15% onexports of unprocessed chrome to foster domestic processing of chrome ore; iv)Extension by six-months the suspension of duties on imported foodstuffs, until mid-2010; and v) Reduction in duty on small imported motor vehicles from 40% to 25%(Measure #0994 | Published 3 Dec 2009).

In the Gambia the 2010 budget restored a 5% sales tax on imported rice (Measure#1046 | Published 29 Dec 2009). In Ghana, the 2010 budget rationalized import dutyon imported textiles and poultry products to check dumping of these goods on theGhanaian market and increased royalty payment to 6% as an initial step in re-engaging all mining companies to review the mining industry's fiscal regime (Measure#0973 | Published 26 Nov 2009).

In Uganda the 2009 budget included provisions to i) remit import duties onspecially designed tourist vehicles imported by licensed tourist operators; ii) remitimport duties on spare parts of certain industrial machinery imported by registeredmanufacturers, under the condition that the parts in question are not resold or usedfor any other commercial purpose other than the replacement of a worn-out part; iii)remit import duties on equipment and other inputs imported by licensed firmengaged in oil, gas, or geothermal exploration; iv) exempt from import duty heatinsulated milk tanks; v) remit import duties on film equipment; and vi) remit importduty from 25 percent and apply 10 percent for trucks of carrying capacity of 5 tonsand above, for one year for Uganda, Tanzania and Rwanda (Measure #0390 | Published19 Aug 2009; Measure #0393 | Published 20 Aug 2009).

It is clear from the above sampled countries that the concern of policymakers inthe different countries was to generate additional revenue no matter whether theproposed actions hurt trade in neighboring countries or not (with the exception ofthe EAC countries).

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3.3 Targeted assistance to sectors

In addition to budget revisions several countries implemented targeted assistanceplans to support sectors that they considered to be driving their economicperformance.

In Sierra Leone the Government imposed a 15% export tax on diamonds worthmore than US$50,000. The tax took effect on December 28 2009 in addition to analready existing increase in taxes on diamonds from 5% to 6.5% and an increase intaxes on gold and other minerals from 4% to 5%. A ban has also been imposed onthe transport and export of logs. This is in a bid to crackdown on illegal logging inthe country (Measure #1103 | Published 20 Jan 2010; Measure #1104 | Published 20 Jan2010).

In a similar move the Gabonese Government imposed a ban on unprocessed logsbeginning January 2010. The ban is aimed at encouraging the local processing ofwood and exportation of finished and semi-finished wood products (Measure #1120 |Published 2 Feb 2010).

In Ghana, the Government re-introduced airport tax for international traveloutside West Africa and increased it from US$50 to US$75. The purpose of thisincrease is to raise revenues and pay for improvements in security at the airport(Measure #0255 | Published 13 Jul 2009).

In Nigeria, possible lifting of ban on foreign ownership of banks is beingconsidered In addition, the Customs Service has introduced a uniform import dutyrate on imported vehicles based on ex-factory prices. The uniform import duty rate isto do away with variances in the calculation of duty on vehicles (Measure #0307 |Published 23 Jul 2009). Also, a progressive reduction in import duty on vehiclesranging from 3 months in age to four years and above was introduced. Moreover, theGovernment has increased tariffs on imported tires from 10 percent to 40 percent(Measure #0290 | Published 21 Jul 2009).

To encourage local production of cement, the Nigerian government approved aseries of measures. In addition to the reinstatement of the policy of banning theimportation of bagged cement and restrictions on the issuance of cement importlicenses, the following measures were introduced: i) A levy of 500 naira (US$3.37) perton on all cement imports to assist in the development of local capacity through theestablishment of a cement training institute in Nigeria (Measure #0807 | Published 21Oct 2009); ii) Reinstatement of tariff incentive for imported spare parts andmachinery to cement manufacturers; iii) Two to three years duty-free period ofimportation for machinery, equipment and spare parts to cover the plant buildingphase and the first two years of commencement of production; iv) Tax deductibleincentives on investments in system conversion to coal firing; v) Removal of all formsof restrictions on the importation of gypsum; vi) Reduction of import duty ongypsum to a maximum of 5% until local production on commercial basis is achieved.

The Central Bank through a circular signed on 13 November 2009 has banned withimmediate effect the importation of aluminum roofing sheets less than 0.50mm inthickness and cold roll steel of less than 0.20mm thickness.

In Cote d'Ivoire the Government reduced export taxes on cocoa (its highest foreignexchange earner) in the 2009/10 season by 5% from CFA francs 220/kg to CFA francs210/kg to meet the debt relief terms of the World Bank (Measure #0308 | Published 23Jul 2009).

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In South Africa, the Treasury has relaxed exchange controls in an effort to lowerthe cost of doing business, while managing risks in a volatile internationalenvironment and to contribute in making South Africa an attractive investmentdestination. The measures adopted include: i) Removal of various restrictions on randconversion of export proceeds and advance payments for imports; ii) Increases in therand thresholds applicable to outward investments by South African companies; Therate of duty on shovels and spades with a maximum blade width of 150mm but notmore than 200mm have been increased from free of duty to 20% ad valorem. Anti-dumping duties have been imposed on stainless steel sinks imported from ororiginating in the People's Republic of China. Depending on the export company, theduties could be either from 10.84%, 20.62% or 62.41%. If the stainless steel sinks areimported from or originating from Malaysia, depending on the export companies theanti-dumping duties could be either from 10.74% or 95.86%. In addition to theabove, the International Trade Administration Commission of South Africa hasrecommended a reduction in the rate of duty on synthetic filament yarn classifiedunder tariff heading 54.01 and 54.02. The rate of duty has been reduced from 15% advalorem to free of duty. Description of items under the tariff heading include: Sewingthread of synthetic filament, high tenacity yarn of polyester and textured yarn ofpolyester.

In Angola the Government banned banana and vegetable imports from Kenya,Uganda, Burundi, Democratic Republic of Congo, Republic of Congo, Ethiopia, andRwanda with the aim of containing a bacterial wilt disease affecting bananas in thesecountries (Measure #0879 | Published 5 Nov 2009).

In Uganda the National Bureau of Standards introduced a pre-export verificationof conformity (PVoC) of imported used vehicles into the country. Fees to be paidupon inspection are dependent on the country of origin: Japan (US$ 145), Singapore(US$180), United Kingdom (125 pounds), and South Africa (1685 Rand), Dubai-UAE(US$125). There is a penalty of 15% CIF value on used vehicles entering the countrywithout an inspection certificate and then an inspection takes place.

In Kenya, Ports Authority made the following changes in fees associated with thePort of Mombasa: i) Elimination of payments for scanning, verification, inspectionand associated stripping or stuffing currently set at Sh5,850 ($75) and Sh8,580 ($110)for 20 foot and 40 foot containers, respectively; ii) Reduction in license fee for privatemooring, buoys and jetties from Sh39,000 ($500) to Sh15,600 ($200) per annum; andiii) Free storage period will be 5 and 11 consecutive days for domestic and transitcontainerized traffic respectively (Measure #0224 | Published 8 Jul 2009) . The KenyanGovernment also adopted a ban on the export of raw cashew nuts in a bid to revivethe industry (Measure #0334 | Published 6 Aug 2009).

In Sudan the Government imposed an import tariff equivalent to 12 Egyptianpounds per square meter on ceramic tiles from Egypt. Ceramic tiles from Egypt aresaid to represent 10% of Egypt's exports to Sudan (Measure #1033 | Published 16 Dec2009).

At the regional level, the East African Community (EAC) agreed to i) Exemptimport duty on heat insulated milk cooking tanks for dairy industry; ii) Tanzania tocontinue the stay of application of CET rate of 35% and apply 10% on wheat grain ofHS codes 1001.90.20 and 1001.90.90 for 1 year as the wheat production in the regioncannot meet demand; iii) Tanzania to remove the 10% import duty on

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pharmaceuticals and start applying the CET rate of 0% like other EAC Partner States;iv) Tanzania to remove the 10% import duty rate on crude palm oil and start applyingCET rate of 0% like other EAC Partner States; v) Exempt import duty on industrialspare parts subject to conditions that will be developed by the Secretariat of the EACin collaboration with the partner states. The measure intends to reduce the cost ofproduction and promote investment in the industrial sector; vi) Exempt import dutyon four wheel drive vehicles specially designed and built for tourist purposes in orderto promote tourist business in the region; vii) Exempt import duty on equipmentsand inputs, excluding motor vehicles, imported by a licensed company for direct andexclusive use in oil, gas or geothermal exploration and development uponrecommendation by a competent authority of a Partner State; viii) Exempt importduty on raw materials used for the manufacture of sanitary towels and tampons inorder to enable users to get these hygienic products at affordable price; ix) Reduceimport duty rate from 25% to 0% for asbestos fibers of HS codes 6812.80.00 and6812.99.00 used for manufacture of brake linings and pads as these inputs are notavailable in the region; x) Reduce import duty rate from 25% to 0% on televisioncameras, digital cameras and video camera recorders of HS code 8525.80.00 in orderto promote filming industry and create employment and income for the youth; xi)Reduce import duty rate on worn clothing from 45% or US$0.30 per kilo to 35% orUS$0.20 per kilo whichever is higher for a period of 1 year; xii) Increase import dutyrate on yoghurt and other buttermilk of HS codes 0403.10.00 and 0403.90.00 from25% to 60% to protect the dairy sector from stiff competition arising fromimportation of these products; xiii) Grant duty remission on raw materials for use bypaper and paperboard mills; xiv) Reduce import duty rate on light trucks of at least 5tons carrying capacity under HS code 8704.22.90 from 25% to 10% for a year forUganda, Rwanda and Tanzania. Also remove import duty on heavy trucks of morethan 20 tons carrying capacity under HS codes 8704.23.90 for one year for Tanzania,Uganda and Rwanda while verification mission is being undertaken to establishKenya's capacity and price competitiveness in manufacturing of trucks in relation todemand and usage in the region; xv) Remove import duty rate on synthetic yarn inorder to reduce production costs to the producers who uses synthetic yarn forblending with cotton yarn.

The above are number (not exhaustive) of actions taken by individuals countriesas a reaction to the financial crisis. All these measures whether of the stimulus typeor of budget revision type aimed at designing ways to enable government mobilizedadditional financial resources to compensate for the losses caused by the financialcrisis. In most cases governments succeeded to some extent (although a fullevaluation is yet to be undertaken) to mitigate the effects of the financial crisis on theeconomies.

4 Lessons from the crisis and concluding remarks

What lessons could be learnt from the review of impacts and the sample of measurestaken by African countries? Several lessons could be learnt:

1. In the face of world economic challenges, Africa needs to be pro-active andengage in serious home-based research and macro as well as micro simulations

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to ascertain impacts of possible external shocks. The financial crisis showed thatwithout rigorous analysis and sound home-based research, decision - makerscould be misled (as illustrated by initial writings arguing that Africa wasprotected from the financial crisis because of its insufficient connection with theworld economy).

2. Although African countries do not have resources to the size of developedcountries that enabled them bail out troubled companies, initiatives taken bysome African countries showed that the impacts of an external shock could bemitigated with well thought targeted measure. These targeted measures couldtake different forms including but not limited to stimulus package, budgetrevision, specific short run tariff and/or non tariff barriers.

3. The crisis brought to the spotlight the fragility of regional groupings. Indeed,apart from the EAC's initiative to bring its members to agree on possible actions,the responses of African countries in general have been country specific. Here itis clear that countries could have achieved better results in terms of mitigatingthe impact of the financial crisis and also in terms of increasing intra-Africantrade if decisions were taken within the regional economic communities (RECs).This calls therefore for a re-dynamization of the RECs.

It results from the above analysis that African countries were severely hit by thefinancial crisis. The impacts included: for resource rich-countries i) falling exports ofminerals and other natural resources due shrinking global demand, leading to loss ofexport revenues and foreign exchange; ii) Loss of jobs due to retrenchment in theextractive resource sector; iii) Widening fiscal deficit; iv) Declining investmentputting at risk socio-economic infrastructural projects in these countries. Forresource-poor countries i) an amplification of the food crisis; ii) declining tourismearnings; declining FDI; declining remittances; and declining foreign exchangereserves.

Some of the impacts are cross cutting and not limited to a given cluster ofcountries. In their responses, African countries used measures spanning fromstimulus package to specific targeted measures and budget revision. Although, it isquite early to assess the effectiveness of the measures taken, it could be argued thatthese measures provided some kind of cushion to the countries that adopted them. Itresulted from the analysis that African countries need to be pro-active to prevent theireconomies to suffer a full blow of external shocks. Moreover African countries needto put the existing RECs to play in dealing with these external shocks rather thanengaging in solitary actions.

References

Ali Shimelse (2009), Impact of the financial crisis on Africa, International EconomicBulletin,

African Development Bank (2009-1), Impact of the Financial Crisis on AfricanEconomies: an interim Assessment, Policy Briefs on the Financial Crisis N°1.

African Development Bank (2009-2), The Global Financial crisis and Fragile States inAfrica, Policy Briefs on the Financial Crisis N°9.

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Balchin Neil (2009) The Impact of the Global Financial Crisis in Africa, Africa GrowthAgenda, July-September.

Global Trade Alert (2009), http://www.globaltradealert.org

Global Trade Alert (2010), http://www.globaltradealert.org

Holmqvist Goran (2008) How is Africa affected by the financial crisis and by theglobal recession? Nordic Africa Institute (May).

International Monetary Fund (2009), World Economic Outlook (October 2009):Sustaining the Recovery, Publication Services 700 19th Street, N.W., Washington,D.C.

International Monetary Fund (2008), World Economic Outlook (April 2008),Publication Services 700 19th Street, N.W., Washington, D.C.

Kenya (2010), Kenya Tourism Report, http://www.bharatbook.com/Market-Research-Reports/Kenya-Tourism-Report.html (consulted on 24/03/10).

Kasekende Louis, Ndikumana Léonce, Rajhi Taoufik (2009), Impact of the GlobalFinancial and Economic Crisis on Africa, Working Papers Series N° 96, AfricanDevelopment Bank, Tunis, Tunisia. 36 pp

Osakwe, N. Patrick (2008) Sub-Saharan Africa and the Global financial crisis, TradeNegotiations Insights Vol. 7 N° 10

UNECA (2009), Economic Report on Africa: Developing African Agriculture throughRegional Value Chains

About the author

Felix Fofana N'zue is a Senior Research Fellow at the African Center for EconomicTransformation (ACET). Prior to joining ACET, he was the Manager of CollaborativeResearch Projects at the African Economic Research Consortium, Nairobi (AERC) fromJanuary 2008 to June 2009. He was the Director General of Employment in theMinistry of Public Service and Employment of Cote d’Ivoire from 2004 to 2007. Hechaired the Scientific Committee of the Presidential task force set up to reflect on there-instauration of a National Civic Service. He was the Technical Advisor onEmployment and Professional Training Policies of the Office of the Prime Minister ofCote d’Ivoire from 2002-2004. He also worked for the International LabourOrganization as a Senior Expert in Agriculture and Rural Employment from 1999 to2001. He is a permanent member of the research community of the Ivorian Centerfor Social and Economic Research (CIRES).

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1 Introduction

Efforts at structurally transforming trade in Africa, especially sub-Saharan Africa (SSA)have achieved limited success. During colonization and the period immediately after,the structure of external trade of African countries were mainly determined by theneeds of the colonial masters. African countries mainly exported natural resourcessuch as timber and minerals and imported manufactured goods. About six decadeslater, this structure of trade has not been significantly altered. Invariably, Africancountries have continually and consistently not managed to diversify trade intomanufactured products although world trade has undergone changes due toliberalization and globalization. Reasons for the lack of export diversification haveincluded a lack of sound macroeconomic policies, high tariffs and supply-sideconstraints. Since the 1980s, African countries have undertaken various reformsaimed at ensuring economic stability and improving trade.

From 2000-07, real GDP growth averaged between 5 and 6 percent but in 2009,GDP growth averaged only 1.1 percent and per capita income declined for the firsttime in a decade.1 The turn of events was as a result of the global crisis. Though thecontinent did not fall into a recession, the crisis severely impacted on economicgrowth and trade volumes. The dependence of African countries on revenues fromthe export of primary commodities led to shortfalls in export revenues2, current andbudget deficits.3 In response to the impact of the crisis, several developed anddeveloping countries have imposed protectionist measures which negatively affectthe interests of African countries.4 As world trade recovers in 2010, how can Africatransform its structure and composition of trade in a bid to sustain economic growthand development?

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Nana Amma Afari-GyanAfrican Center for Economic Transformation

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1 Global Economic Prospects, 20102 The African Development Bank estimated a loss of US$251 billion in export revenues in 2009 and

US$277billion in 2010 for the entire continent. Also, projected 2010 current account balance as apercentage of GDP are -17.86, -22.90, -16.30 and -17.28 for Ghana, Madagascar, Nigeria and Zambiarespectively.

3 According to the Global Economic Prospects, 2010, current account balances of oil exporting countriesdeclined from 9.7 percent to 1.4 percent of GDP. Also, the crisis resulted in lower tourism revenues,remittances and foreign direct investment for many African countries.

4 The Global Trade Alert Database contains measures imposed by governments all around the worldduring and after the global economic crisis. (http://www.globaltradealert.org)

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This paper discusses the potential for this transformation after the global economiccrisis by looking at future trade agreements, trade with other developing countriesand intra-regional. The paper is structured as follows: section 1 gives an introductionto the paper; section 2 is an overview of Africa's structure and composition of trade;section 3 is an overview of prominent new trading partners; section 4 analyses thepotential for change with a conclusion in section 5.

2 Structure and composition of Africa’s trade

Africa is dependent on the export of primary products. According to Collier andDollar (2001) in Collier (2002), three quarters of developing country exports in 1980,were primary commodities but at the time of writing, about 80 percent weremanufactures. Sadly, Africa had not been part of the transformation. Between 2000and 2008, primary commodities continued to dominate Africa's merchandise exports,compared with Southeastern Asia - another developing region of the world. (Seefigures 1 and 2 below). Also, while Africa's share of world merchandise exports hasbeen declining the share of fuels and mining products in primary exports and totalmerchandise trade has been increasing.5

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5 The share of fuels and mining products in total merchandise exports from Africa increased from 48.4percent in 2003 to 70.6 percent in 2008 while the share of fuels and mining products in primaryproducts exports increased from 70.3 percent in 2003 to 91.2 percent in 2008. (WTO, InternationalTrade Statistics, 2003 and 2009)

Table 1 Average percentage share of world merchandise trade in value terms (1995 - 2008)

Primary commodities Primary commodities Manufactured goods(SITC 0, 1, 2, 3, 4, 68, 667, 971) excluding fuels (SITC 5 to 8, less 667 and 68)

Developing Africa* 1.25 0.48 1.11Sub-Saharan Africa 0.84 0.38 0.67South Eastern Asia** 1.46 0.75 3.89Developing America 1.76 1.3 3.27Developed Europe 8.59 5.91 29.4

Notes: * Consists of Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde,Central African Republic, Chad, Comoros, Congo, Cote d'Ivoire, Democratic Republic of Congo, Djibouti,Egypt, Eritrea, Ethiopia, Equatorial Guinea, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya,Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco,Mozambique, Namibia, Niger, Nigeria, Rwanda, Saint Helena, Sao Tomé and Principe, Senegal, Seychelles,Sierra Leone, Somalia, South Africa, Sudan, Swaziland, Togo, Tunisia, Uganda, United Republic ofTanzania, Western Sahara, Zambia and Zimbabwe.** Brunei Darussalam, Cambodia, Indonesia, Lao People's Democratic Republic, Malaysia, Myanmar,Philippines, Singapore, Thailand, Timor-Leste, Vietnam

Source: Author's calculations based on data in UNCTAD Handbook of Statistics 2009

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Least Developed African countries are becoming more commodity-dependent thanbefore. Out of 49 countries classified by the United Nations as least developed, 33 arein Africa. Of concern is the increasing nature of their dependence on commodityexports. Gayi (2010) shows that least developed countries (LDCs) in Africa havebecome more commodity-dependent over the 2000-08 period. As a share of totalmerchandise exports, in 2008 primary commodities made up 82 percent, up from 69percent in 2000. Also, while the concentration index from 2000-08, for African LDCs,increased by 73 percent, that of Asian LDC's decreased by 39 percent (Gayi, 2010).The increasing dependence has implications for the countries ability to cope withnegative macroeconomic shocks arising from volatile commodity prices, therebyworsening the already existing low standard of living.

Diversification into manufactured goods has been limited in African economiesbut a few countries have managed to do so. Very few countries in Africa have beenable to diversify into manufacturing. From 2000 - 06, only 8 out of 35 countries hadmanufacturing exports representing 10 percent or more of GDP and Africa had thelowest share of manufacturing exports to total merchandise exports at 26 percent,compared with 92 percent, 56 percent and 54.5 percent for East Asia, South Asia and

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00.20.40.60.8

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Figure 1 Share of SSA merchandise exports in total world merchandise exports, 2000-08 (in value terms)

0

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Figure 2 Share of Southeastern merchandise exports in world merchandise exports, 2000-08 (in value terms)

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Latin America, respectively.6 Countries like Mauritius, Morocco, Swaziland, SouthAfrica and Tunisia have managed to diversify into manufactured exports such aselectronic components and textiles. For example, manufacturing as a percentage ofGDP in Tunisia is about 20 percent and in 2008, Tunisia was the fifth largest textileexporter to the EU, with a 3.6 percent market share.7 Similarly, in 2008, textilesconstituted 30.5 percent of Mauritius's merchandise exports.8

Since the 1990s, African countries have diversified into non-traditional exports. Asa result of trade liberalization programmes and reforms, African countries have alsomanaged to diversify into the export of non-traditional products, especially fruits andvegetables. Kenya and Uganda export large amounts of cut flowers and vegetableswhile Ghana has increased exports of pineapples. However, a major barrier to Africa'strade in non-traditional exports, hindering an increase in market share and exportdestinations, is compliance with strict Sanitary and Phytosanitary Standards (SPS).This serves as a hindrance due to a lack of capacity in African countries.

3 New players in Africa’s trade with the world

Other developing countries have become important partners of trade in Africa.Consistently, Africa's largest trading partners over the years have been the EuropeanUnion, the United States of America and France. However, since the early 2000's,other developing countries have become important trading partners, overtaking'traditional' trading partners. The new key partners are China and India. The so called'new players' in Africa's international trade are not really new in the region. However,their importance to and influence on the region has broadened rapidly over the lastdecade. The growth in Africa's exports to China and India is because of large domesticdemand for natural resources as a result of high economic growth rates. Comparedwith world averages of 2.7 percent in the 1990s and 3 percent from 2000 to 2008,China's economic growth has averaged 10 percent per annum in the 1990s, withsome annual rates as high as 14 percent and has continued to average 9.8 percentfrom 2000 to 2008.9 Similarly, India's growth rate averaged 5.7 percent in the 1990sincreasing to an average of 7 percent from 2000 to 2008.10

Like, the older partners, the new partners (China and India) are predominantlyinterested in obtaining natural resources from Africa and exporting manufacturedgoods to Africa. In 2008, 79.5 percent of total imports of the USA from SSA werecrude oil imports while 92.3 percent of all imports under AGOA were petroleumimports.11 SSA's natural resource exports to China rose from $3 billion in 2001 to $22billion in 2006, representing over 600% increase, with crude oil making up 80% ofthis total figure (Foster et al, 2009). In 2008, Africa accounted for 31% of total Chineseoil imports with Angola, Sudan and Nigeria being important suppliers of crude oil to

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6 UNCTAD, Economic Development in Africa Report, 20087 African Development Bank, Country Strategy Paper 2007 - 2011 and European Commission Trade (n.d)8 WTO, 2009.9 World Development Indicators10 World Development Indicators11 Department of Commerce, USA, US-African Trade Profile 2009

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China.12 Other raw materials of interest to China from Africa are wood products (logs)from Gabon and Mozambique.

Similarly, the share of crude oil in total imports of India from Africa increased from46 percent to 53 percent from 1999 to 2006.13 In 2008, Nigeria supplied about 11percent of India's oil needs.14 Trade in general with Africa has increased significantly.Africa's exports to India grew by over 300 percent from about USD$380million in1999 to about USD$16 billion in 2008 while imports from India also increased byabout 700 percent from about USD$1.8 billion in 1999 to about USD$14 billion in2008.15 Both China and India export manufactured products such as textiles,footwear, pharmaceuticals, machinery and equipment to African countries.

4 Prospects for a Change in Africa’s Structure of Trade

The global economic crisis resulted in public finance problems for African countries.Although economic growth and trade in Africa is expected to begin recovering in2010, it is reliant on demand from others. Due to significant commodity pricedeclines and low demand, African countries which generally depend on exportrevenues to finance their economies were faced with shortfalls in governmentrevenues which impacted on government public sector projects and programmes.According to the 2010 Global Economic Prospects Report the world economy isprojected to grow at 2.7 and 3.2 percent in 2010 and 2011, after shrinking by 2.2percent in 2009. SSA economies are expected to grow at 3.8 percent in 2010 but thisgrowth will be slower than that of other developing countries due to the reliance oncommodities. In addition, SSA economies will grow by 4.6 percent in 2011 whileother developing countries will on average grow by 5.2 percent in 2010 and 5.7percent in 2011. However, Africa's growth is dependent on export demand from tradepartners such as China, the European Union and the United States.

African countries participate in WTO negotiations, are signatories to a number ofexisting trade agreements, are contemplating future agreements, all in an effort toimprove trade and most importantly, change the structure of trade. Both bilateraland multilateral trade negotiations have been embarked upon by African countriesand their trade partners. Initiatives like Aid for Trade, Everything but Arms (EBA),African Growth and Opportunity Act (AGOA) have been implemented in an effort toimprove upon market access for African products and increase the benefits of trade.Currently, there are multilateral negotiations in the WTO and with the EU to furtherimprove market access for Africa's products. Aside from the potential welfare gainsthese trade agreements may provide for Africa, the agreements might help diversifyAfrica's exports, if trade facilitation measures are well considered, negotiated for, andeffectively implemented.

The Doha Development Round(DDA) proposes to reduce poverty and help thedevelopment of developing countries through improved market access and removal

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12 Camody and Taylor, 200913 Tralac,2006.14 US Energy Information Administration15 IMF, Direction of Trade Statistics

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of subsidies and domestic support but structural challenges existing in developingcountries serve as constraints. DDA deals with a number of issues significant to thedevelopment of African countries. These range from trade in agricultural goods, non-agricultural goods, trade facilitation to intellectual property rights and trade inservices. One of the most important issues is the improvement in market access forAfrican agricultural products to the developed markets. Since July 2008, discussionshave stalled over reduction in export subsidies and other domestic support measuresby developed countries as well as the extent to which developing countries wouldopen up their markets to developed countries. It is said that a concern of policymakers of developing countries is that, the Doha Round would force them to makesignificant reductions in tariffs on non-agricultural products but no real benefits interms of access to the markets of developed countries because of the slow removal ofexport subsidies.16 Since the agricultural sector serves as the backbone of many Africancountries - employing about 60% of the population and contributing about 40percent to GDP -it is not surprising that African policy makers are very interested inthe final outcome of the negotiations.

What does increased market access mean for Africa? Global welfare gains of theDoha Round, ranging from US$32 billion to US$55 billion have been simulated inwork by various authors such as Anderson, Martin and van der Mensbrugghe (2005);Bouet, Mevel and Orden (2006); Decreux and Fontagné (2006). But, with theexception of the Bouet, Mevel and Orden study, these studies show that sub-SaharanAfrican countries will actually make the smallest gains or actually lose income fromboth agriculture and manufactures liberalization because of low capacities in thesecountries. Nonetheless, some individual African countries are to make gains from thesuccessful conclusion of the round. A study by Zepeda et al (2009) said Kenya is likelyto specialize in agriculture and processed food if the Doha Round is successful and theODI (2008) supposes that a more generous interpretation of the rules of origin bydeveloped countries would help least developed countries in Africa to diversify theireconomies out of low value-added products.

Hence, for the Doha Round to offer Africa a chance of reforming its structure oftrade, the agriculture sector has to be modernized. With a large number of small-scalefarmers and low productivity, as well as the erosion of trade preferences, Africancountries will be unable to compete in the international market. Constraints to highproductivity including lack of investment in agricultural technology generation anddissemination, land tenure concerns, inaccessibility of finance will have to beaddressed.

Economic Partnership Agreements (EPAs) may improve market access through theelimination of tariff barriers but non-tariff barriers, if not dealt with, are likely toimpose challenges. EPA negotiations between the EU and African countries began in2002 and were to be concluded in 2007. EPAs are said to foster regional integration.Subsequently, negotiations are conducted with six regional economic groupings onthe continent. The EPA focuses among other things on development, market accessand regional integration. Due to several challenges, the initial deadline for anagreement passed without a consensus and in its stead, interim EPAs have beensigned between the EU and Cote d'Ivoire, the Southern Africa Development

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16 Woolfrey, 2009

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Community (SADC) while Ghana has initialed an agreement. Several studies have commented on the potential benefits and costs of the EPA to

Africa. The potential of the EPAs in assisting the transformation of trade in Africa issummarized in AU (2006) which calls for a focus on agriculture and buildingcompetitiveness of African countries, for African countries to fully take advantage ofbenefits from market access opportunities. The EU in negotiating with Africancountries wants binding provisions relating to investments, competition andgovernment procurement. But these are likely to constrain the policy space availablefor governments to implement development programmes to promote local industrycompetitiveness. Moreover, subsidies on agricultural products maintained by the EUmake African products uncompetitive while overly strict health, sanitary andphytosanitary standards result in revenue loses to African farmers and governments.The worry therefore is that, improved market access without building up productionand supply capacity minimises or erodes the benefits that can be achieved.

According to the AU (2007), the EU and African countries have differing opinionsof how development in Africa can be achieved.17 Contentious issues in thenegotiation process are not limited to rules of origin regulations, extent of tariffremoval and abolishing of export restrictions. With reference to export restrictions,they are generally used by developing countries to limit the export of raw materialsand rather encourage value-addition or processing. Removal of these restrictionscould reinforce a continuation of trade in natural raw materials and commodities.The interim EPAs allow the protection of infant industries in African countries, whenimports from the EU threaten or cause disturbances to an infant industry producinglike or directly competitive products.18 However, many African countries are unableto effectively use the safeguard mechanism due to a lack of capacity. Kwa (n.d) notesthat safeguard mechanisms provided in the interim EPAs are more restrictive than theSpecial Safeguard Mechanisms enjoyed by the EU under the WTO.

Therefore, though EPAs might increase consumer welfare in African countries, (andwithout full knowledge of what the comprehensive EPA will contain), for the EPA tobe a truly development tool for Africa, measures which might negatively impact onlocal industry competitiveness, do nothing to improve supply-side constraints andtrade facilitation problems must be appropriately addressed to ensure a win-winsituation for all parties. Otherwise, African countries might sink deeper into trade incommodities as they become less competitive on the international market.

It is necessary that intra-regional trade is improved upon, especially after thedecline in demand for commodities from Africa during the economic crisis. Intra-regional trade in Africa is low, accounting for only 9.6 and 8.7 percent of imports andexports, respectively, from 2004-06, compared with developing Asia's 48.1 and 45.5percent for imports and exports, respectively.19 Several reasons for this include thesimilar goods and services traded and difficulty with moving goods across borders inAfrica. Furthermore, as stated above, African countries have to negotiate for improved

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17 The EU negotiators view development mainly as trade liberalisation and adopting rules prohibitingdiscrimination against foreign investors and against foreign bidders for government contracts whileAfrica views development as full duty free and quota free market access to global markets, subject tospecial arrangements for sensitive products.

18 Ghana-EU Interim EPA19 Economic Development in Africa Report 2009

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market access to that of other African countries and other developing countries. Thisis evidenced by the Economic Development in Africa Report 2009, which stated thatintra-regional trade in agricultural goods are less trade-intensive than manufacturedproducts, accounting for 19 percent of total intra-African exports, thereby suggestingthe possibility of increasing intra-African trade in agricultural goods.

Africa has to be proactive in its trade relationship with China and India. Africa'sshare of trade with China was 3.8 percent between 2000 and 200720 with Chinaincreasingly dependent on African countries for crude oil and other key naturalresources to fuel its economic growth. While most of Africa's trading partners,suffered from low or negative economic growth rates in 2009, China grew by 8.4percent and is projected to grow at 9 percent in 2010.21 In dealing with Africa, Chinaand India usually blend trade with foreign direct investment and aid. This mix if wellevaluated and assessed will enable Africa increase its benefits from trading with Chinaand India. For example, Africa's agricultural products such as cocoa and cotton facetariff escalation in China.22 Policymakers may be able to persuade China to open upits market to agricultural products from Africa in negotiating trade, investment andaid agreements.

5 Conclusion

The main purpose of the paper was to discuss the potential of structurallytransforming trade in Africa after the global crisis, with respect to trade agreementsand intra-regional trade. A constant and important reminder of the crisis to Africanpolicymakers is the need to diversify Africa's exports so as to minimize the impact ofexternal shocks on African economies. Various reforms to improve trade have notyielded the expected results though trade initiatives like AGOA and EBA hasimproved market access for African countries to developed markets and is helping todeal with supply-side constraints. Despite this, a large proportion of the productsexported under these initiatives have continued to be primary commodities. Theglobal economic crisis has offered African policymakers a chance to reconsiderwhether the development path chosen. Wood and Mayer (1998) in examining thestructure of Africa's trade suggested that a medium-term solution was to follow thedevelopment path of resource-abundant America rather than resource-scarce Asia byincreasing the level of processed and unprocessed primary exports.

Increasing the amount of processed primary exports in the medium term isdefinitely a step in the right direct as the potential of agriculture in transformingAfrican economies has not been fully exploited. From the aforementioned,agriculture is important to African economies since it employs about 60 percent ofthe population and contributes about 40 percent to GDP. Supply-side constraintsincluding inaccessibility of finance, low agricultural extension services, inadequatefunding for research and lack of infrastructure must be addressed to help thetransformation. Countries can modernize the sector by processing primary products,

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20 Looking East Vol. II, 200921 Global Economic Prospects 201022 Looking East Vol. II, 2009.

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taking note of the barriers which processed goods face in developed and developingcountries. Hence, in considering future trade agreements, policymakers must strive tobalance this objective with the benefits that can be attained from trade liberalization.Lastly, strengthening regional integration by linking physical infrastructure such asroads and harmonizing quality standards will be integral to increasing intra-regionaltrade and potentially contribute to the transformation of Africa's trade.

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Kwa, A. n.d. 'African Countries and the EPAs: Do Agriculture Safeguards AffordAdequate Protection. South Centre. http://www.southcentre.org/index.php?option=com_content&view=article&id=886%3Aafrican-countries-and-the-epas-do-agriculture-safeguards-afford-adequate-protection (Retrieved 27 April 2010)

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Zepeda, E., M. Chemingui, H. Bchir, J. Kiru, C. Onyango and B. Wanjala. 2009. 'TheImpact of the Doha Round on Kenya.' Carnegie Endowment for InternationalPeace. http://www.carnegieendowment.org/files/impact_doha_kenya.pdf

About the author

Nana Amma Afari-GGyan is a Research Analyst at the African Center for EconomicTransformation. She has an MPhil in Economics and a B.A. in Economics withGeography and Resource Development from the University of Ghana. She previouslyworked as a teaching assistant in the Department of Economics, University of Ghanaand with KPMG Ghana as a tax trainee. Her research interests lie in DevelopmentEconomics and International Finance.

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The renewed importance of Africa in China's foreign policy became apparent in themid 1990s during Chinese President Jiang Zemin's tour of Africa. On this visit, heannounced the creation of the Forum for China - Africa Cooperation (FOCAC),ministerial level meetings to be held every three years between China and Africancountries with diplomatic ties with China. The first FOCAC meeting was held in2000, and indeed this marked the launch of a new phase in Africa - Chinacooperation (Alden, 2010). FOCAC provides the framework for Africa - Chinarelations. Since 2000 especially, trade between African countries and China has grownat a phenomenal rate1 (Figure 1). China's transformation from an agriculturalproducer in the 1970s to an industrial economy, a dominant producer ofmanufactured goods and the fastest growing consumer of commodity products(ACET 2009a) has necessitated China's massive demand for Africa's commodities tofuel its economic growth. Subsequently, by 2009, trade between China and Africa wasvalued at just over $90bn (although a drop of 16% from its high in 2008 at $106bn).Trade is the largest dimension in economic engagements between China and Africa,as it eclipses total investment and economic and technical cooperation (ACET 2009a).

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1 Therefore, this paper will focus on China-Africa relations between 2000 and 2009, when data isavailable

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This paper seeks to explore the impact that increased relations between China andAfrica within the FOCAC framework are having on Africa's trade. The paper willhighlight that China's trade-specific FOCAC commitments will merely serve tofacilitate increased trade between Africa and China however, this is not sufficient forbalanced trade, as it will still be dominated by Africa's exports of low value primarycommodities in exchange for China's higher value manufactures imports thuswidening the trade imbalance. Although both China and Africa have implementedprotectionist post financial crisis trade measures that will negatively impact the levelof China-Africa trade, there are other interventions that could potentially improveAfrica's capacity to trade. Cooperation in other areas has greater potential to ensurethat the increased trade will be more balanced by increasing Africa's capacity toproduce and trade more value-added exports. Further cooperation as outlined in theFOCAC process will provide Africa with an opportunity for greater value-addedexport production to take advantage of emerging developments in China and shiftsin global production.

Section one will look at general trends in China-Africa trade, between 2000 and2009. Section Two will look at specific trade-related FOCAC commitments made byChina to improve Africa-China Trade and assesses their impact. Section Three looksat other areas of cooperation within the FOCAC framework that already have and willhave the potential to impact Africa-China trade. And Section Four will look atemerging developments for Africa to take advantage of that could provideopportunities for "more balanced trade" with China. The final section will conclude.

This paper will draw on primary and secondary research undertaken by the AfricanCenter for Economic Transformation (ACET) during 2009 as well as a review of up todate literature on China-Africa relations.

1 Trends in Africa-China trade

This section will look at emerging trends in Africa-China trade. It will highlight thatChina-Africa trade has grown exponentially, more than both sides' traditional tradingpartners; it has provided affordable manufactures for African consumers and industryand a welcomed capital injection to fuel Africa's growth especially during the globalcrisis when relations with Africa's traditional partners declined. However, increasedAfrica-China trade has grown in an unbalanced way - the gains from trade are limitedto a few African resource rich countries exporting oil and mineral products to Chinawhich have proved vulnerable during the commodity price bust in 2008. IndeedAfrica's trade surplus with China reversed to an overall trade deficit by 2009. Themajority of African countries are suffering from mounting trade deficits and Africacontinues to depend on exports of low value primary products. China Africa trade hasbecome more and more unbalanced and thus unsustainable.

China-Africa two way trade between 2000 and 2009 has risen by an unprecedented750% (at its peak in 2008, it rose by just over 900%) using data from China Customs(Tralac 2010). China-Africa trade represents an opportunity for both to diversify theirexport partners. During the global recession, China was especially hit hard as itsexports to its top six trading partners represented 70% of its exports in 2007. All ofthese partners experienced economic contraction and thus decreased import demand

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during the global financial crisis (Hong Kong Trade and Development Center 2009).Similarly for Africa, after the global crisis, in 2009, China overtook the US to becomeAfrica's top trading partner of the year with trade volumes of $90.8bn compared tothe US-Africa trade volume of $88.9bn. This dropped a dramatic 39%. According tothe Global Trade Alert database, 20% of its total trade policy measures were "red"measures which "almost certainly discriminated against" African exports and 80% ofthe EU27's measures implemented were red2 thus negatively impacting Africanexports. Meanwhile, the drop in Sino-Africa trade was only 15% (International TradeCentre data). Manufactures constitute the largest share of African imports from China86% (Tralac 2009), with machinery the fastest growing component. Chinese importsprovide affordable manufactured exports and thus welfare gains for the Africanconsumer and for African industry. Machinery imports have become increasinglyimportant among Africa's imports from China over the last decade (figure 2),compound average growth rate of 62% between 2000-09, more than any othercategory of manufactures imports. Dominated by machinery and other lightindustrial products, these imports build up Africa's production capabilities.

However, the gains from increased Sino-African trade over the past decade, havebeen limited to a few African countries. Using data from China Customs (Tralac2010), China's top ten African trading countries (two-way trade) include; Angola,South Africa, Sudan, Nigeria, Egypt, Algeria, Congo, Libya, Morocco and EquatorialGuinea. Trade is highly concentrated among these countries, accounting for nearly77% of total China-Africa two-way trade during 2000 - 2009. Furthermore, China'stop ten African exporting countries (these include Angola, South Africa, Sudan,Republic of Congo, Equatorial Guinea, Libya, Gabon, Algeria, Nigeria and theDemocratic Republic of Congo) account for almost 90% of Africa's exports to China.Just four African countries account for 93% of China's oil supply from Africa - thesecountries include; Angola (51%); Sudan (18%); Republic of Congo (13%); andEquatorial Guinea (11%). Other minor sources include Nigeria (3%); Gabon and Chad(1% each) (Alden and Alves 2009).

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2 Global Trade Alert database accessed 18 May 2010)

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China is becoming more and more dependent on Africa's supply of oil and mineralexports from a few African countries. Africa is China's second largest oil supplier(supplying 26% of China's oil) after the Middle East (which provides a 39% share).Similarly, China is Africa's second largest major destination for its oil exports (19%)after the US (37%) (Alden and Alves 2009). Similarly in minerals exports, China'simports of mining products from Africa have increased from $286m in 2000 to$2.6bn in 2006. In some cases, China has become dependent on Africa's mineralexports. These include manganese from Gabon, South Africa, Ghana and Zambiawhich provide 40% of Chinese import needs and cobalt from the DRC supplies 80%of China's needs (Alden and Alves 2009). Thus Africa is an increasing importantsource for China's insatiable demand for natural resource products.

Although Africa ran an overall trade balance surplus with China during the period,(in 2000, 2004, 2005, 2006 and 2008), the surplus is dominated by only 13 Africancountries that run a trade surplus with China. Also, the size of these surpluses isreducing. Indeed, Africa's trade surplus in 2008 of $5, 014m was almost completelyreversed into a deficit for Africa in 2009 into -$5, 442.48 (Sandrey et. al 2010). But themajority (just over 80%) of African countries is running worsening trade deficits withChina, that have increased on average by almost 1500% between 2000 and 2009. Inthe case of Cameroon, China's share of its trade deficit was more than 80%. The"Asian-induced" oil price boom, (which China has contributed significantly to) hasexacerbated trade deficits for African net oil importing countries, fueled domesticinflation, severely compromising the competitiveness of African firms.

The vulnerability of the structure and composition of China-Africa trade wasexposed following the global economic crisis and the subsequent commodity pricedecrease in 2008. While Sino-African trade has grown substantially, the compositionand structure of exports have not changed, reinforcing Africa's low value primarycommodity production as this mirrors Africa's trade with its traditional tradingpartners (ACET 2009b). Africa overwhelmingly exports fuels, minerals and metals toChina. During 2000 - 2009, these products accounted for more than 84% of totalexports to China (Tralac 2009 and 2010). Additionally, these products have becomemore and more important in Africa's export basket to China - figure 3 shows theincreasing importance of mineral products during the period. Moreover, Africa'sexport of primary commodities to China made up 86% during 2000 - 2009. Theseproducts experienced a boom in 2008, thus Africa's top exporters to China saw amuch welcome increased injection of capital. However, Africa's exports to China wereseverely impacted by the commodity price decline in 2009, when the value of Africanexports to China declined by $25.9bn in 2009. The price of Africa's maincommodities to China - crude oil and minerals decreased on average by -39.18(Sandrey et. al 2010).

2 Trade-related FOCAC commitments

Section two looks at trade specific FOCAC commitments. It will evaluate their impacton Africa-China trade. It concludes that these pledges will merely serve to, at best,increase Africa China trade, however, Africa-China trade will remain unbalanced. Thegranting of preferential access to exports from least developed countries with

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diplomatic relations with Africa represents the most direct measure aimed atimproving Africa-China trade. This section will highlight that even this measure hasresulted in limited gains for preference recipient countries and has only reallyfacilitated the export of primary products again from resource-rich LDC countries.Although the preferences provide the opportunity for access to more value addedexports, the export supply response from LDCs has been limited due to more bindingnon-tariff barriers. Other measures are "best-endeavor" pledges and subsequentlyindirect measures that will also only at best facilitate increased rather than morebalanced trade.

Since the first FOCAC in 2000, China has made commitments to Africa focusingon Sino Africa trade with the aim of increasing it. These commitments have includedthe following; "grant[ing] zero-tariff treatment to some commodities of African LDCs foraccess to Chinese market. The Chinese side will, starting from 2004, negotiate lists of tariff-free goods and the rules of origin with the countries concerned on a bilateral basis." At theend of the second FOCAC in 2003, the Chinese Government announced that itwould give zero-tariff treatment to 190 kinds of commodities imported from leastdeveloped countries in Africa having diplomatic relations with China with a view toincreasing Chinese imports from Africa (Yafei 2005). And in the last FOCAC, theSharm El Sheikh Action Plan has promised to; "to further open its market to Africancountries. ...in a phased manner, grant tariff exemption treatment to 95% of exports fromthe least developed countries (LDCs) in Africa having diplomatic relations with China. Asthe first step, the goal of zero tariff treatment for 60% of products originating therefrom willbe met in 2010." Preferential treatment to exports from Africa's LDC's representsChina's most direct effort to increase Africa-China trade.

The impact of the preferences is at best limited to a small group of resource-richLDC exporters. Since 2005, when the preferences came into effect, just six out of the313 eligible African LDCs provided 92% of the total exports from African LDCs. Thesecountries include; Angola, Sudan, Congo, Equatorial Guinea, Libya and the

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Democratic Republic of Congo. The total value of exports from African preferencerecipients was just over $130, 000 (using data from Tralac 2010). Again their exportswere overwhelmingly petroleum and crude oil products - these accounted for almost9x% of total exports. Minerals take second place - accounting for x% of total exports.

There has not been a significant export supply response to the preference receivingproducts. Since the preferences came into effect, there has not been a significantexport supply response from the preference receiving countries as pre-preferences,exports from LDCs had a compound average growth rate of 25% between 2000 and2005, since the beginning of the preferences until 2009, the CAGR only increasedslightly to 28%. From 2000 to 2005, without any preferential treatment, 93% of theAfrican LDCs' exports to China were entering China duty-free anyway as China hadalready drastically reduced or eliminated Most Favored Nation tariffs on theseexports. Moreover, these exports were largely primary products essential for fuelingChina's economic growth (Minson 2007). Interestingly, as the Chinese ambassador inChad pointed out, Chad exports none of the products on the list (Minson 2007).

Furthermore, despite including a wide range of products, LDC exports haveremained primary products thus underutilizing the preferences. The preferences havefailed to transform the structure of exports from African LDCs. They remain primary.Based on LDCs current export capacity, the most economically valuable Chinesepreferences are for primary products, including sesamum seeds, cocoa beans, cashewnuts and cobalt materials (Minson 2007). African LDCs have not been able to takeadvantage of the diversity of the products receiving preferences, characteristically,still only exporting a few products. The preference receiving products include;agricultural products - food, plants, animals; minerals - precious stones, raw andsimply transformed; manufactures - processed foods, light consumer manufactures,light industrial products and textiles. Figure 4 shows the percentage share of the maincategory of products. The list includes a larger proportion of manufactures, almostthree-quarters. However, the manufacturing export supply response has beennegligible.

The ability of LDCs to benefit from the preferential access to China has beenhindered by a number of non-tariff barriers (NTBs). Several African stakeholders bothprivate and public have expressed their difficulty in obtaining the list has thushindered their ability to benefit. African LDCs manufacturing capacity is low also.Further NTBs include China's inaccessible sanitary and phyto-sanitary (SPS)requirements; cold chain sterilization requirements; and cultural differences.Discretionary import prohibitions could also potentially hinder an export response,given African LDCs low levels of health and sanitation capacity (Freemantle et. al,2010). African LDCs face competition from Asian LDCs who export 301 of 440products for which China has afforded special treatment to African LDCs (Alves2008). The Chinese rules of origin are stricter than for AGOA, they state that at least40% of the value must be added in the country as compared to AGOA which allowsfor 35% regional value added. Thus the Chinese preferences impede intra-regionalproduction for manufactures especially.

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3 African LDCs with diplomatic ties with China include; Angola, Benin, Burundi, Cape Verde, CentralAfrican Republic, Chad, Comoros, Democratic Republic of Congo, Djibouti, Equatorial Guinea, Eritrea,Ethiopia, Guinea, Guinea-Bissau, Lesotho, Liberia, Madagascar, Mali, Mauritania, Mozambique, Niger,Rwanda, Senegal, Sierra Leone, Somalia, Sudan, Tanzania, Togo, Uganda and Zambia

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However, with support to address the NTBs and investment, preferential access toChina would be more advantageous for LDCs. There are some significant advantagesto be maximized from these preferences. Without considering SPS requirements,China's NTBs are much lower in agriculture than for the US or EU or even other Sub-Saharan African countries. The average margin of preference for the productsexported by the African LDCs is quite significant at 10.4% (Minson 2007). Textileproducts such as yarn, thread etc. provide higher valued opportunities with a 9.4%margin of preference and even represents tariff de-escalation as China scandalouslyhas not included cotton in the list - a vital export for many African LDCs (Minson2007). As mentioned above, at the last FOCAC held in Egypt, China has offered toincrease this list, within the next three years to 4, 700 products, this is almost tentimes the current amount. However, the extended list should be better tailored toaddress LDCs supply-side constraints.

Other trade-specific commitments are focused on increasing trade through greatertrade facilitation. The last FOCAC in Egypt provided the most trade-specific measuresthus far with the main aims of facilitating greater Africa-China trade. China haspledged to establish an African Commodities trade Center in China to promoteexport of African commodities to China. The Sharm El Sheik Action Plan 2012 statesthat "Preferential policies such as fees reduction and wavering will be adopted forparticipating African enterprises". This will provide a good opportunity for resource richAfrican countries to market themselves as a credible alternative source for China'srampant commodity demand. Africa has still a lot of Chinese market share to gain ascurrently Africa holds a small share of China's global demand in agriculture - between2000 and 2008, it held just 1.7% (ACET 2009b); in forestry the share is 2.9%; in oiland gas it is 26% behind the Middle East. However, this would merely increase tradein primary commodities, not necessarily allow it "to grow in a more balancedmanner" for Africa. Further pledges are "best endeavor" measures, aimed at "greatercooperation" in "customs, taxation, inspection, and quarantine"; "establishment of

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Figure 4 Share of preference receiving groups (%)

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three to five logistic centers to help improve business facilities in African countries";and greater bilateral trade dispute settlement mechanisms.

3 Other areas of FOCAC cooperation

This section will look at other areas within the FOCAC framework, which areimpacting and have the potential to impact China-Africa Trade. It will highlight thatthese developments are and have greater potential than the trade-specific FOCACmeasures to not only increase Africa-China trade, but also more importantly, thesehave potential to enable China-Africa trade to "grow in a more balanced manner" ifsufficient local content requirements be included. These other areas includeinvestment and economic and technical cooperation and interventions in Africa'sinfrastructure, agriculture and tourism sectors. These interventions are focused on theproduction of value-added exports; import substitution; and represent adiversification of China's interest beyond Africa's natural resources intomanufacturing and services. Thus an opportunity for resource-poor African countriesto benefit from the continents' increased relations with China. Thus Africangovernments should encourage greater cooperation in these areas.

Chinese investment is becoming more significant, driven not only by resources, itis also market seeking and increasingly private investment is more significant As wellas trade, investment is playing an increasing role in the China Africa partnership.FOCAC 3 China declared a $5bn China-Africa development fund, established toencourage Chinese companies to invest in Africa and a further $3bn in preferentialloans, as well as investment credit and export buyer's credit. Subsequently, ChineseFDI flows into Africa, although small (as a share of China's global investment,Chinese FDI to Africa was just 7% between 2003 and 2008), FDI flows have grownrapidly by over 7,000% to reach almost $5.5bn by 2008. Similarly, Chinese FDI stockin Africa rose by over 7,000% (just 3% of China's global FDI stock between 2003 and2008) and reached $7.8bn by 2008 (MOFCOM 2008). As with trade, Chinese FDIflows are concentrated in a few African countries, the top ten recipients account for92% of total FDI flows between 2003 and 2008. These include; South Africa, Nigeria,Zambia, Algeria, Sudan, Congo DR, Niger, Madagascar, Mauritius and Egypt. Thepresence of non-resource rich countries within the top recipients such as Mauritiusand Egypt suggests that China's interest in Africa goes beyond Africa's naturalresources. In 2008, by volume, manufacturing and services together accounted for86% of Chinese investment (46% and 40% respectively). China's "landmark"investment of $5bn in South Africa's Standard Bank represents one of China's largestsingle investments in Africa. China's Exim Bank conservatively estimated that in2006, 85% of Chinese enterprises in Africa were private investors thus looking formarket opportunities, fleeing intense competition within China.

Chinese market seeking investment is also largely export orientated and couldimpact positively on Africa's trade balance Special Economic Zones (SEZs) aredesignated geographic areas with liberal policies and tax incentives to attract foreignenterprises. First established in China during the late 1970s and early 1980s, they aresaid to be the "backbone" of China's phenomenal growth over the past 20 years(Davies, 2008 and Freemantle et. al, 2010). At FOCAC 4, China committed to

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establish five zones across Africa and later in 2007, China committed to establishinga further five zones. The World Bank states that, the zones are seen as a key facilitatorto creating employment opportunities and generating greater foreign exchangereserves through more diversified sources of income. Five projected zones have beenannounced and are currently at differing stages of progress and are expected to focuson value-added industries (Sandrey and Edinger 2009). Table 1 provides informationon Chinese-initiated SEZs across Africa and shows how these could substantiallycontribute to local job creation; skills, knowledge and technology transfer;infrastructure development; and production for local, regional and internationalexport markets. China has also made various other continent-wide investments inproduction of manufactures for the local and regional markets.

The Chinese are also investing in Africa's agriculture which could potentiallyincrease its exports of agricultural products and improve African countries' foodimport bills Country-level data suggests that China is increasing investment in agri-business across Africa for production for export and for the local market (ACET2009b). There is more evidence that China's investment interest in agriculture isorientated towards gaining a foothold in the local market or regional marketsthrough Africa's duty-free trade arrangements with the EU and the US. Table twoprovides some examples of typical Chinese investments across the continent. Thereis less evidence of investment in agricultural goods for export back to China thus thatChina is a part of the "land grabbing" phenomenon of land and water constrainedeconomies of Middle-East and South East Asia (Keely 2008). Indeed, Africa runs atrade deficit with China in agriculture, between 2001 and 2007, Africa imported threetimes the value of agricultural products from China than it exported (ACET 2009b).China has also diversified its interests and begun investing in Africa's agriculture forbio-fuel production, securing the right to grow palm oil for bio-fuel on 2.8 millionhectares in the Republic of Congo, the world's largest palm oil plantation (TheEconomist 2009). China is also negotiating with Zambia to plant 2 million hectaresof jatopha for bio-fuel (Sandrey and Edinger 2009).

Sufficient local content requirements must be included in the terms andconditions of investment agreements to ensure that economic benefits accrue toAfrica Chinese private firms with financial backing from the Chinese government areemerging as the key drivers in Africa's manufacturing and to a lesser extentagriculture (ACET 2009b). The local equity content in joint ventures varies in Africancountries. For example, in Ethiopia the two largest Chinese investments are inmanufacturing in joint ventures in 50%-50% share and a 49% Ethiopian owned; inNigeria, there is an example of a joint venture of equal equity among the Nigeriangovernment, a Chinese electronic firm and a US investor. While local equity has beenvery low in some countries - for example in Ghana, foreign equity and foreign loansaccount for 95% of costs; and 100% in Kenya thus the benefits of such foreigninvestments do not accrue to the recipient African countries, profits are expatriatedback to China (ACET 2009b).

Chinese cooperation in Africa's agriculture and infrastructure sectors is significantfor building Africa's long-term trade and production capacity At the last Forum onChina-Africa Cooperation, China committed to greater cooperation in these sectors.China's provision of economic and technical cooperation to African agriculture overthe past decade has occurred against the backdrop of declining support from

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Table 1 Chinese initiated Special Economic Zones in Africa

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Recipient Country

Status Focus of Activity Details of Engagement Expected Outcomes

Zambia February, 2007, Construction began 2007 to be Completed by 2011

“Industrial and economic development in the manufacturing sector

$250m-$300m Copper smelter constructed by China Nonferrous Metal mining company

For domestic and export-orientated business Secure China’s supply line of copper and other minerals, to facilitate the transport of goods

Mauritius Announced mid 2007 Construction began in September, 2009

Textiles and apparel, light engineering, some key high tech operations.

$500-$750m investment

Production for export to South Asia, COMESA and SADC 34,000 new jobs

Egypt Construction began in 2007 Light manufacturing, logistics and value-added services also an area dedicated to

A joint venture to be developed and managed by the Chinese Tianjin Economic-Technological Zone and the Egyptian General Authority of Investment and Free Zones.

A strategic chance for China to showcase its work to African governments in Egypt during FOCAC IV and to create a regional hub for trade with the European Union and the Middle East. Expected to triple bilateral trade between China and Egypt to $10 billion by 2010, to attract $2.5 billion in foreign direct investment and to attract 100 Chinese firms with investment of $100 million.

Nigeria Announced in 2007 Manufacturing and assembly operation hub for Chinese firms

Expected to produce goods for local, regional and EU markets.

Ogun State, Nigeria

Announced in 2007. Free trade zone for about 100 Chinese firms

Co-financed by China Development Bank and Nigeria’s United Bank of Africa

Production of goods for local, regional and EU markets.

Sierra Leone In operation. Economic and cooperation zone that has so far attracted 20 Chinese small and medium-sized enterprises

Established by the Guoji Group, which is based in China’s Henan Province.

Produces manufactures of “necessities” as spring mattresses, roofing tile, hair lotions and other light manufactures

Tanzania Under construction. Trans-shipment hub for commodities mined in the Chambishi copper belt.

Considered highly strategic for Tanzania and Zambia as well as the whole Southeast African infrastructure corridor because it will reduce dependence on Southern Africa for transport.

Source: ACET (2009b) and Sandrey and Edinger (2009).

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traditional donors (ACET 2009b). Aid from traditional donors to African agriculturefell from $1,450 million in 1982 to $713 million in 2003, and over 1980-2005 theshare of official development assistance to agriculture declined 35% (Cabral 2007).One of Africa's main traditional aid sources, the United States Agency forInternational Development, slashed its agricultural aid to Africa 75% over the pastdecade (CCS 2008). Even African government spending in this sector has declined,though not as dramatically (Cabral 2007). Many African governments spend less than1% of their national budgets on agriculture (CCS 2008). Meanwhile, China hasprovided $600 million in assistance since 2002, and according to the ChineseMinistry of Commerce, 1,134 Chinese agricultural experts are working across Africa.Its support includes cooperation in land development, agricultural plantation,breeding technologies, food security, agro-processing machinery, experimental anddemonstrative projects, and training (table 3) (Ministry of Foreign Affairs of thePeople's Republic of China 2006). The Chinese Ministry of Agriculture has pledged toassist Africa in creating a "green revolution" (Horta 2009).

Recognizing the importance of infrastructure in aiding Africa's development,FOCAC III's Beijing Plan pledged to make infrastructure "a key area of cooperation"Support to infrastructure lowers the cost of doing business, and facilitates trade. Theseminal World Bank study on Africa's infrastructure (World Bank 2010) highlightsChina's substantial contribution to addressing Africa's infrastructural deficit. TheWorld Bank puts Africa's infrastructure spending needs at $93bn a year and thefunding gap is $31bn a year mostly in the power sector. Chinese investment inAfrica's infrastructure peaked at $22bn in 2006, thus at 22%, it is contributing toaddressing the gap. The report highlights the power and the transport subsectors asthe most deficient, the majority of China's infrastructure financing to Africa isconcentrated in power and transportation, between 2001 and 2007 these were 34%and 33% respectively of total Chinese infrastructure financing (Foster et al 2009).China is financing 10 major hydropower projects with a combined capacity of 6, 000megawatts, which will increase SSA's total hydropower generation capacity by 30%.Chinese firms are rehabilitating 1 350 km of existing railways and building 1 600 kmof new railways to add to Africa's 50 000km of railways (Alden and Alves 2009).

China-Africa Tourism has seen an increase during the period largely thanks toFOCAC commitments Since FOCAC IV, China announced that it would grant"Approved Destination Status" (ADS) to African countries. To date around 27 Africancountries4 have been granted this status. Since then the number of Chinese touriststravelling to Africa has increased to 322, 000 by 2008, up by almost 200% since 2005.Although still small compared to Africa's traditional tourists from Britain and NorthAmerica, Chinese tourists are growing at a faster rate than traditional tourists - atabout 30%, (China.org, 2005). Similarly, Chinese embassies increased the number ofvisas granted to Africans to go to China. South Africa is the most successful Africancountry to attract Chinese tourists. In 2008, Chinese arrivals shot up by 11%, makingSouth Africa one of the fastest growing tourist destinations for Chinese tourists(VOAnews.com, 2008). For South Africa, this is revenue of almost $1bn (China.org2005). "Business tourism" is a prominent characteristic of China-Africa tourism. The

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4 Some of the African Countries under the ADS scheme include; Algeria, Benin, Botswana, Cape Verde,Cameroon, Egypt, Ethiopia, Gabon, Ghana, Kenya, Lesotho, Madagascar, Mali, Mozambique, Namibia,Nigeria, Rwanda, Seychelles, South Africa, Uganda, Zimbabwe

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Table 2 Examples of Chinese agricultural investments across the continent

Country Details of investment Target market

Angola A $40 million investment is expected to relaunch a Local market and export markets5,000-hectare irrigated cotton productino plant inKwanza. During the post-colonial period the areaproduced 21,835 hecatres of cotton a year and wasthe second most productive province

Ethiopia Although there are several planned investments in Pivotal energy source for theagriculture, only one Chinese company is engaged domestic economyin agriculture, in the production of charcoal

Guinea-Bissau Chinese investors pledged $60 million in the Increased production for exportcountry’s cashew nut industry – one of the biggest to international marketson the continent

Tanzania China transferred some of its best technology to Local market and export marketsrehabilitate 5,900 hectares of sisal farm

Zambia Chinese investments from 25 companies total Mainly for local market$10 million, mainly for market gardening and poultry farming projects around Lusaka

Other African In Ghana, South Africa and Togo, 11 agricultural Production for local and regionalcountries production, processing and sales projects and markets

16,000 hectares of farmlands have received Chinese investment

Source: ACETb 2009

Table 3 Country examples of Chinese cooperation

Country Type of support Details

Angola Technology transfer Donation of $1 million worth of agricultural equipment to the government.

Benin, Cameroon, Skills transfer Establishment of agricultural centers Republic of Congo, Ethiopia, focusing on seed technologies;Liberia, Mozambique one in operation in Madagascar, 16 in Rwanda, South Africa, progress. Some 10,000 agricultural expertsSudan, Tanzania, Togo, are reported to have been dispatched to Uganda, Zambia and Zimbabwe African countries to train local farmers.

Cameroon Technology transfer Supply of tractors to Ministry of Agriculture.

Gabon Skills and knowledge Chinese agricultural experts sent to assist transfer small-scale farmers in improving crop and

crop and animal production.

Guinea Skills and knowledge Chinese experts sent to introduce high-yield transfer hybrid rice. Establishment of a hybrid rice

cultivation center in Guinea to alleviate grain shortages.

Kenya Technology transfer for Advanced coffee processing equipment.agro-processing

Nigeria Skills and knowledge Deployment of 400 (out of pledged 500) transfer Chinese experts to help with food

production and water conservancy.Uganda Skills and knowledge Aid to Kibimba (now Tilda) and Doha rice

transfer schemes.

Source: ACETb 2009

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growth of China Africa business cooperation with a subsequent increase ininvestments by Chinese companies, as well as Chinese and Africa governmentofficials seeking to consolidate their cooperation consequently there has been anincrease in visitors on both sides (ACET 2009b). Also the number of people-to people-youth-women and cultural and technical exchanges has gone up as the China-Africarelationship has intensified since 2000. These will continue to increase.

4 Emerging developments that could impact Africa-China traderelations

There are a number of emerging developments that could increase Africa-China tradeif Africa with greater cooperation with China or indeed other partners could positionitself to take advantage of. Although both Africa and China have implemented anumber of post financial crisis protectionist trade policy measures, there are a numberof developments that could potentially see more balanced trade. Just some of thesesalient developments include; an unprecedented rise in China's internal consumerdemand and a continued rise in Chinese investment to establish business in Africa byenterprises seeking to take advantage of more competitive labor costs in Africa thanin the maturing economy of China.

Post financial crisis, Africa has implemented more protectionist policies thanChina and China is less protectionist than Africa's traditional partners Both Africaand China have implemented a number of post-financial crisis trade policy measureswhich are having an impact on Africa-China trade. According to the GTA database,the majority of trade policy measures implemented by African countries have beenhighly discriminatory - red measures - 53% while green liberalizing measures onlytotaled 20% (26% amber). South Africa represents one of the most protectionistAfrican countries as it had implemented the highest amount of red measures - 80,moreover, 65% of its total trade policy measures implemented were red measures.Other relatively protectionist African countries included the more developed Africancountries such as Egypt which implemented 56 red measures (70% of its total policymeasures were red); Morocco which implemented 33 (73% of its total policy measureswere red) and Tunisia which implemented 40 red measures (75% of its total policymeasures were red). While China implemented 19 red measures (45% of its totalpolicy measures were red). Africa's traditional partners are more protectionist - EU27has implemented 140 red measures (84% of its total policy measures were red). Andalthough the US only implemented 14 (only 22% of its total policy measures werered) it has implemented 44 amber measures which represent 70% of its total policymeasures (Ogunleye 2010).

The PRC government recognizes that China's next phase of economic expansionrequires internal structural transformation given the nature and scale of its impressiveexport-driven growth which has caused a number of macroeconomic imbalances.This transformation will involve (inter alia) the reduction in reliance on exports forGDP. In 1978, the total value of imports and exports was 9.7% of GDP by 2009 theratio skyrocketed to 80%. The transformation will also require the reversal of China'slow consumption and high savings rate. In the past, China's economic policiesemphasized investment and export rather than consumption, consequently, its ratio

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of consumption to GDP fell from 50% in 1978 to 35.3% in 2007 and has risen slightlyto 38% currently. Additionally, domestic savings has increased by just over 50% since1979 to reach 49% in 2009.

"Natural and policy induced consumerism" (Freemantle et. al 2000 p. 1) is set toincrease as incomes grow rapidly in China - an annual growth rate of 8% for the nexttwo decades; the gradual appreciation of the national currency to an estimated 10%by 2011 will further empower Chinese consumers; also with financial deepening andcredit growth as the share of credit cards to bank cards is set double to 15% by 2013.Subsequently, Chinese consumption is expected to expand by over 700% by 2020 to$15tr, thus increasing China's global consumption share from 5% to approximately15% - the world's largest consumer in just a decade. This economic restructuringpresents a number of opportunities for Africa (Freemantle et. al 2010).

Given that China's wages are expected to increase and subsequently there will bea rise in production costs in China, China is expected to become less competitive.Many expect that could result in the need for production to shift to more competitiveenvironments - this is the "flying geese" theory (Brautigam 2009). Coupled with thecontinued state-backed "encouragement" to invest abroad from the announcement atthe last FOCAC to "increase the size of the China-Africa Development Fund to $3bn tosupport the expansion of investment from Chinese businesses to Africa", this could beAfrica's opportunity to take advantage of the shift in global production.

African countries should begin to position themselves as potential destinations forChinese investment to take advantage of opportunities to produce for the localmarket and preferential access to regional and international markets This will enableChina to take advantage of preferential access afforded to African countries intointernational markets, which China traditionally face barriers to developed countrymarkets. As this investment is market-seeking, joint ventures with African firms willensure that trade gains will accrue to the local economy and local contentrequirements for knowledge and technology transfer will help to build local capacityand ensure a more mutually beneficial gain from Chinese investments in Africa. Thisprovides an opportunity for resource-poor African countries to benefit from China'sgrowing presence in Africa. Furthermore, LDC African countries can marketthemselves to countries wanting to enjoy preferential access to export to China.

Conclusions

The structure of China-Africa trade is growing more unbalanced with gains mainlylimited to a few resource-rich African countries, dependent on exports of a fewprimary commodity exports vulnerable to volatile global price fluctuations. Sectionone looked at emerging trends in Africa China trade. Despite increasing traderelations than Africa's traditional partners during the crisis, this section demonstratedthat China-Africa trade is unfortunately dominated by Africa's export of a few lowvalue primary exports and Chinese imports of higher value manufactures. Thevulnerability of the structure and composition of China-Africa trade was exposedfollowing the global economic crisis and the subsequent commodity price decrease in2008. Furthermore, the majority of African countries are experiencing widening tradedeficits with China. Thus the current structure of Africa-China is unbalanced and

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unsustainable. The impact of China's trade-specific FOCAC commitments will only increase

Africa-China trade thus reinforce the unbalanced structure of trade. Section twoconsidered China's trade-specific FOCAC commitments to improving Africa-Chinatrade. The granting of preferences to African LDC exports represents the most directcommitment to improving Africa's exports, however, given more prohibitive nontariff barriers to trade such as LDCs low capacity to meet health and sanitationrequirements, LDCs export supply response to these preferences has not beensignificant, limited to resource-rich LDCs exporting oil and mineral products.Therefore preferences only facilitate de facto primary oil and mineral products thatare currently in the LDCs export supply capacity, thus reinforcing the unbalancedstructure of trade. The preferences provide preferential access to export more value-added products such as manufactures, and simply transformed minerals, andrepresent tariff de-escalation on cotton and textile products. Thus investment inaddressing the NTBs would make the preferences very advantageous for preferencereceiving LDC exporters as they offer a significant margin of preference. The othertrade-specific FOCAC commitments are less direct than the preferences, best -endeavor measures aimed at facilitating trade thus will only increase Africa-Chinatrade rather than make trade more balanced.

Other areas of cooperation within FOCAC have greater potential to make Africa-China trade more balanced as they are focused on value-added export production andrepresent a diversification in export production beyond primary production ofAfrica's oil and mineral commodities and thus opportunities for resource-richcountries. Section three looked at other areas within the FOCAC framework forAfrica-China cooperation such as investment and economic and technicalcooperation. In investment cooperation, following FOCAC commitments to supportChinese business to invest in Africa - through for example the China DevelopmentFund, Chinese FDI to Africa has also grown rapidly in the last decade. Section threehighlighted that Chinese investment is diversifying beyond natural resources,increasingly in manufacturing, services and agriculture also (albeit to a lesser extent),thus providing opportunities for non-resource rich countries to benefit from Africa-China relations, unlike China-Africa trade. Similarly, FOCAC commitments intourism provide an opportunity for resource-poor African countries. Inmanufacturing, investment is largely focused in value-added production for the local,regional and international markets and seeks to take advantage of Africa's preferentialmarket access arrangements. Similarly investment in Africa's agribusiness provides anopportunity to reduce Africa's high food import bills. However, as investment islargely private and market-seeking sufficient local content requirements that increaseand build the capacity of local participation must be put in place to ensure thateconomic benefits are accrued to Africa and that profits are not only expatriated byChinese businesses. FOCAC commitments on economic and technical cooperation inagriculture and infrastructure contribute to building the foundation for the structuraltransformation of Africa's production capabilities and thus enhancing Africa's tradecapacity.

With greater cooperation with China, Africa can position itself to take advantageof emerging developments in China and shifts in global production Section fourprovided some examples of opportunities for enhancing Africa's trade. Although

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China and Africa have implemented a number of protectionist post crisis trade policymeasures, other emerging developments in the relations could positively impactAfrica's trade. China's internal structural transformation which requires an increase inChinese consumerism; the expected rise in China's wages provides a huge potentialmarket for African products. Furthermore, given the rise in production costs in China,and the continued "state-backed encouragement" to invest in Africa, African countriescan position themselves as potential destinations for investment. Given the marginof preferences provided to value-added exports from LDCs, African countries are anattractive opportunity for investors who want to take advantage of preferential accessto China.

This paper sought to look at the impact that increased Africa-China relationswithin the FOCAC framework is having on Africa's trade. The paper providedevidence of the unbalanced trend in Africa-China trade and highlighted the need forit to grow in a more balanced way. The paper further highlighted that China's tradespecific commitments will only serve to increase China Africa trade and thusreinforce the unbalanced trend. Africa-China trade will be negatively impacted byprotectionist post-crisis trade policy measures, however, other areas in the FOCACframework such as in investment, economic and technical cooperation andinterventions in tourism, infrastructure and agriculture sectors should contributesignificantly to enhancing Africa's trading capacity to take advantage of the emergingtrading opportunities in China and shifts in global production and thus maximizeopportunities for value added export production in China and globally.

References

ACET (African Center for Economic Transformation), 2009a "Looking East - A Guideto Engaging China for African Policymakers: Volume One: Positive Impacts andKey Challenges - With Recommendations", Accra

ACET (African Center for Economic Transformation), 2009b "Looking East - A Guideto Engaging China for African Policymakers: Volume Two: Key Dimensions ofChinese Engagements in African Countries", Accra

Alden, C. 2010. "Background Notes on FOCAC" In China & Africa: Assessing theRelationship on the Eve of the Fourth Forum on China - Africa Co-operation (FOCAC IV)Volume 3 No. 1, January, 2010 African Union Commission

Alden, C. and Alves, A.C. 2009 "China and Africa's Natural Resources: The Challengesand Implications for Development and Governance" September, South AfricanInstitute of International Affairs, University of Witwatersrand, South Africa

Alves, P. 2008. "China's Preferential Trade Policy as a Foreign policy tool", in NewImpulses from the South: China's engagement of Africa Centre for Chinese Studies,Stellenbosch University

Brautigam, D 2009. The Dragon's Gift: The Real Story of China in Africa, OxfordUniversity Press, Oxford

China.org 2005 "African Countries Lure Chinese Tourists" December 26 ShenzhenDaily. China, http://www.china.org.cn/english/travel/153148.htm

CCS (Centre for Chinese Studies), 2010 "Evaluating China's FOCAC commitments toAfrica and mapping the way ahead" Stellenbosch

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Davies , M. J. 2008. "Special Economic Zones: China's Developmental Model Comesto Africa" In China into Africa: Trade, Aid and Influence, ed. Robert I. Rotberg.Washington, DC: Brookings Institution Press

FOCAC (Forum on China Africa Cooperation), 2009 "FOCAC Sharm El Sheikh Actionplan, 2010 - 2012" 2010, 11, 12 Sharm El Sheikh

Foster, V., W. Butterfield, C. Chen, and N.Pushak. 2009 "Building Bridges: China's Roleas Infrastructure Financier for Sub-Saharan Africa" Washington DC: World Bank

Freemantle, S. Stevens, J. 2010 "Economics BRIC and Africa: The Rise of the Chineseconsumer: Opportunities for Africa presented by the next phase of China'seconomic growth" April, Standard Bank

Minson, A. 2007 "Will Chinese Trade Preferences Aid African LDCs?" December, SouthAfrican Institute for International Affairs, University of the Witwatersrand,Johanesburg

MOFCOM (Ministry of Commerce of People's Republic of China), 2008 "2008:Statistical Bulletin of China's Outward Foreign Direct Investment" Ministry ofCommerce of People's Republic of China and National Bureau of Statistics ofPeople's Republic of China, /state Administration of Foreign Exchange

Ogunleye E 2010 forthcoming "Effects of Post Crisis Foreign Trade Policy measures oneconomic trade performance in Africa"

Sandrey R, and Edinger, H. 2009. "China's Manufacturing Sector and IndustrialisationEfforts in Africa" September, Centre for Chinese Studies, University of StellenboschPrepared for the African Development Bank (AfDB)

Sandrey R, and Edinger, H. 2010 "China-Africa Merchandise Trade: What was theImpact of the 2009 commodity price decline?" February, Tralac Working paperNo.02/2010, Stellenbosch

Tralac (Trade and Law Centre for Southern Africa) 2010 "Tralac China Africa data",Stellenbosch, South Africa

VOAnews.com, 2008 "Chinese Visitors help South Africa's Tourist Industry"http://www.eturbonews.com/1183/chinese-visitors-help-south-africas-tourist-i

World Bank, 2010 "Africa's Infrastructure: A Time for Transformation" Vivien Fosterand Cecilia Briceno-Garmendia, Washington D.C

Yafei, H. 2005 "Follow-up Actions of the Forum on China-Africa Cooperation"Remarks by Assistant Minister of Foreign Affairs, Embassy of the People's Republicof China in the Republic of Botswana website http://bw.china-embassy.org/eng/xwdt/t257860.htm

About the author

Sarah Jane Danchie is a Policy Analyst at the African Center for EconomicTransformation. She has Undergraduate and Master’s degrees in Economics from theUniversity of London. She has worked in a number of organizations including theCommonwealth Secretariat (Economic Affairs Division) and the United NationsDevelopment Program (Ghana Country Office) where she worked on economicresearch and analysis. She also worked on program design, planning andadministration at national and international levels on an array of development issuesranging from economic management, trade and debt to climate change fordeveloping, transition and emerging economies of Africa, Asia, and Latin America.

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1 Introduction

One significant development question asked at the onset of the global financial crisiswas whether Sub-Saharan Africa (SSA)--with its low integration in world's financialmarkets--would be shielded from the ensuing sharp economic downturn in theindustrialised world. Over time it became readily apparent that the answer was no.Noting the increasing export reliance of the region (Wim, 2010), this chapterexamines the apparent vulnerability of exports in SSA during the crisis years of 2008and 2009 in a major overseas market, the United States.

The remainder of this chapter is organised as follows. The next section describesthe factors that are likely to have driven SSA's exports during the recent globaleconomic downturn and why African exports could have been more affected thanexports from other developing regions of the world economy. Section 3 describes thedata which is used in section 4 to calculate the extent to which the top 20 Africanexport sectors changed during the crisis. SSA export performance in a given sector isthen compared, on a variety of measures, to that of East Asia (EA). Section 5summarises the findings of an investigation as to whether a crisis-era reshuffling ofexport shares within Africa has generated another source of winners and losers.Section 6 concludes and discusses the implications of this chapter's findings.

2 Two channels affecting African exports during the recent globaleconomic downturn

Much expert comment focuses on two channels through which the effects of thecrisis affected Sub-Saharan African exports. First, lower global growth, particularly inthe United States (USA) and the European Union (EU), reduced the demand forAfrican exports, pushed commodity prices down, and curtailed the flow ofremittances from abroad. Estimating sectoral gravity equations, Berman and Martin(2009) show that SSA exports are more sensitive to large negative income movementsin the countries they export to, compared to other exporters from other developingregions of the world economy.

Two factors are said to make Africa particularly vulnerable to this "demandchannel": low destination diversity and high export concentration. Although tradewith China and other emerging economies have increased in recent years, thediversity of Africa's export destinations is still limited. More than 60% of exports go

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to the EU and the USA. Exports are highly concentrated in primary goods sectors, inparticular the oil and gas sector. Comparing export concentration indexes of differentdeveloping country regions, one can see that export concentration is three to fourtimes higher in SSA compared to EA or Latin America and the Caribbean (Wim, 2010).Even so, Draper and Biacuana (2009) argue that the decline in export volumesexperienced by African economies during the crisis was not as severe as in Asianeconomies.

Secondly, tighter credit market conditions have resulted in a greater scarcity and ahigher cost of trade finance. While the precise magnitude of the "trade finance gap"in Africa is still unknown and the impact of such a gap on the collapse of exports hasnot convincingly been identified, various experts are convinced that trade financeconstraints played a key role in the African trade collapse. Moreover, such expertscontent that the trade finance problem in Africa is more acute compared to otherdeveloping regions. For example, while perceived trade finance-related risks roseduring the crisis, it is sometimes implied that the risks associated with African tradewere thought to have grown more than for other parts of the developing world.

Berman and Martin (2009) have showed that - what they call - the "disruption"effect of a financial crisis is more important and longer lasting for African countriesthan for exporters of other developing regions. They find also that the highdependence on trade credit of African export markets may explain part of the fragilityof African exports to the financial crisis. Alternatively, Humphrey (2009) reports theresults of a firm survey in the garment and horticulture sectors in SSA. Theinterviewed firms did not face problems with trade finance (at least up to March2009). The generality of these findings may be called into question because of thelimited number of interviews conducted (about 30) and the study's exclusive focus onthe garment and horticulture sectors. Most of the interviewed firms reported thatthey had well-established businesses that remain good risks for domestic banks, oroperated in long-standing value chains, which are responsible for the financing oftrade. Humphrey also reports anecdotal evidence from West African countries, wherethe shortage of credit in the domestic market curtailed pre-financing of trade incocoa.

The relative importance of these two channels during the recent global economicdownturn remains an open question and will no doubt stimulate future research. Thisstudy, however, investigates whether or not African exporters were indeed moreseverely hit than exporters from other developing regions. In addition, it is studiedwhether reshuffling within Africa has produced another source of winners and losersfrom the recent global economic downturn.

3 Monthly data of the top 20 export sectors in manufacturing andagriculture

This paper uses detailed monthly data of US imports from 2007 through 2009 madeavailable online by the U.S. Census Bureau. Sub-Saharan Africa's top 20 export sectorsto the US in manufacturing and agriculture were identified and listed with their totalvalue for exports in 2009 (see Table 1, columns 1 to 3). The total amount of tradeaccounted for by the 20 largest sectors exceeded more than 80% of SSA exports in

Africa Resists the Protectionist Temptation: The 5th GTA Report

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manufacturing and agriculture to the US. As described above, the US remains theleading destination (besides the EU) of African exports, and these exports cantherefore be taken as an indicator for exports to the world1. Besides, it is interestingto look at the US data as the crisis had its origins there and the US was one of themost severely hit importing countries.

There were several reasons for the focus here on manufacturing and agriculturalexports- even though the primary goods sectors of many SSA economies account fora large proportion of trade. First, export unit values in primary goods depend heavilyon world commodity prices, which were generally in sharp decline during the crisis(Wim, 2010). Hence, investigating these sectors would require careful corrections forprice changes. Secondly, primary goods sectors are geographically restricted to fewAfrican countries making a region-wide analysis less meaningful.

Thirdly, it has been argued that Africa's sustainable development is dependent ona diversified set of exports (in particular manufacturing), which leads to less volatileexport flows (Haddad, Lim, and Saborowski, 2010). Focusing on sectors that - ifsufficiently diversified - promise more stability is therefore of particular interest.

Finally, most of the country-by-country data for the primary sectors (including oiland gas, mineral and ores, petroleum and coal products, and chemicals) are missingand thus their investigation could yield to biased conclusions. Nevertheless, readersshould be aware that 75% of total African exports are in the oil and gas sector in 2009.Excluding oil and gas exports, manufacturing and agriculture make up 70% ofremaining total exports by SSA.

4 Benchmarking recent export developments in Sub-SaharanAfrica to that of East Asia

This section examines how badly SSA leading exports were affected during the recentglobal economic downturn and to what extent SSA's experience was worse than thatof East Asia. The analysis distinguishes between an export growth measure (whichindicates the percentage change in a region's exports of a particular sector's products)from a volatility measure (which captures the degree of export fluctuations within agiven year). Data on both measures form the basis of the empirical assessment madein this section.

To assess the fall in exports, for each of the top 20 exports from SSA to the USA,the monthly year-on-year export growth (or reduction) for the year 2008 (before theglobal export collapse) and for the year 2009 (after the global export collapse) werecalculated for the entire SSA region.2 Statistics reported in Table 1 show that Africa'stop 20 export sectors were severely hit. To give a sense of the SSA export performanceat its worst, the weighted average of maximum monthly export fall in 2009 is 72%

How Much Did Africa’s Top Exports Fall During the Crisis?

95

1 Due to former colonial relationships between certain EU member states and Africa, export patterns tothe EU are likely to be different than to the US. Hence, an independent study with EU data would alsobe of interest.

2 Intra-regional differences, ie. cross-country differences in export performance in a given sector in theSSA region, are examined in section 5 below. For a chapter seeking to assess the overall impact on theSSA region's exports it is appropriate to consider at some point in the analysis the effects on total exportsof a particular sector from that region.

Page 122: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

compared to 33% in 2008, reinforcing the impression that--at its worst--2009 wasmarkedly worse than 2008.

To get a sense of average performance among the top SSA exports, the weightedaverage of the medians of monthly sectoral export change of the top 20 SSA exportswas calculated. In 2008, that average grew by a massive 113% for SSA; in 2009 thecomparable average export figure pointed to a fall of around 30%! The high averagegrowth in 2008 is influenced by the five-fold expansion in the exports of theautomobile industry, which is the second largest SSA export and is located primarilyin South Africa. Eight of the 20 sectors had negative growth figures in 2008, comparedto 13 sectors in 2009. While Africa's biggest manufacturing sector, primary smeltingand refining of nonferrous metals (except copper and aluminum), was back on apositive growth path in the fourth quarter of 2009, most other sectors still reportednegative numbers at the end of last year.

To provide some comparative perspective, the above SSA export performance wascompared with that of the developing countries of East Asia (EA), taken here to be allof the countries in EA except Japan, Singapore, and South Korea. The statistics inTable 1 confirm that SSA's most important exports in manufacturing and agricultureare similarly affected by the crisis than the same sectors in EA. Both regions hadpositive weighted average growth across the 20 sectors in 2008 and negative numbersin 2009. In fact, Africa performed relatively better than EA on several grounds: (i) theweighted average growth in exports was higher (or export reduction lower) in SSA inboth years; (ii) the number of sectors reporting negative export growth in 2009 in EAwas 18 compared to 13 in SSA; and (iii) EA exports are taking longer to recover to theirprevious levels. The weighted average export reduction in the 4th quarter of 2009 was27% in EA.

Overall, then, while SSA exporters came under considerable pressure during therecent global economic downturn, their East Asian counterparts fared worse at leastin terms of average export performance. Further research may want to account forany regional differences in crisis-era export performance for a given sector, examiningfor example whether differences in discriminatory measures taken against differentregions' exporters can account for some, or all, of the observed differences in sectoralexport performance.

However, as noted above, large fluctuations in economic activity--including inexports--are a long-standing development challenge in SSA. Columns 9, 10 and 13,14in Table 1 report an index of export volatility for SSA and EA, respectively.3 Thesenumbers report a measure of month-by-month export fluctuation within a year.Comparing the figures for weighted average volatility across years and regions, anincrease in volatility in both regions is observed during 2009, with the index being ingeneral slightly higher in SSA. However, none of these differences are statisticallysignificant at conventional levels, which leads to the conclusion that Africa's most

Africa Resists the Protectionist Temptation: The 5th GTA Report

96

3 The following formula is used to calculate the index of export volatility:

where s m, yi, R

is the export share (in %) in sector i, region R, and month m of year y. and c is a constant corresponding to 100/12, equal to the average monthly export share (in %) in a particular year.

12

)(12

2,,

,

∑ −= m

ymRi

yRi

cs

Vol

Page 123: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

How Much Did Africa’s Top Exports Fall During the Crisis?

97

Tabl

e 1

Afr

ica'

s to

p 20

exp

ort s

ecto

rs to

the

US

in m

anuf

actu

ring

and

agr

icul

ture

(in

2009

): D

escr

iptiv

e St

atis

tics

Sub-

Saha

ran

Afr

ica

East

Asi

a (e

xclu

ding

Japa

n, S

outh

Kor

ea, S

inga

pore

)

NA

ICS

Des

crip

tion

SSA

Exp

orts

M

ax E

xpor

t M

ax E

xpor

t M

edia

n M

edia

n A

vera

ge

Vol

atilt

y V

olat

ilty

Max

Exp

ort

Max

Exp

ort

Med

ian

M

edia

n

Ave

rage

Vol

atilt

yV

olat

ility

(6di

git)

to th

e U

SFa

ll 20

08Fa

ll 20

09G

row

thG

row

thG

row

th(in

200

8)(in

200

9)Fa

ll 20

08Fa

ll 20

09G

row

thG

row

thG

row

th

(in 2

008)

(in 2

009)

(in 1

000'

s of

$)

2008

2009

Q4

2009

2008

2009

Q4

2009

3314

19Pr

imar

y Sm

eltin

g an

d R

efin

ing

of

1591

943

-71%

-88%

-18%

-61%

99%

7990

-26%

-75%

82%

-65%

-41%

7370

Non

ferr

ous

Met

als

(exc

ept C

oppe

r an

dA

lum

inum

)33

6111

Aut

omob

iles

and

Ligh

t Dut

y M

otor

1393

543

30%

-83%

488%

-23%

-9%

7780

-74%

-86%

-40%

-56%

-42%

7310

2V

ehic

les,

Incl

udin

g C

hass

is33

9913

Jew

eler

s' M

ater

ial a

nd L

apid

ary

Wor

k 93

7482

-46%

-71%

2%-3

9%-1

2%71

75-4

1%-6

9%-1

3%-4

0%-1

6%75

7231

5239

Wom

en's

and

Gir

ls' O

ther

Out

erw

ear

3661

66-2

7%-6

4%-1

%-4

2%-5

4%74

72-9

%-1

1%0%

-3%

4%72

7133

1112

Elec

trom

etal

lurg

ical

Fer

roal

loy

Prod

uct

3060

63-4

4%-9

8%87

%-8

0%-3

5%76

123

-80%

-96%

62%

-91%

-54%

9480

3152

23M

en's

and

Boy

s' S

hirt

s

1979

22-1

%27

%63

%87

%80

%70

7119

%-1

3%28

%-4

%0%

7070

(exc

ept W

ork

Shir

t)11

1339

Oth

er N

onci

trus

Fru

its

1615

13-3

1%-5

6%99

%-4

0%-3

2%75

71-3

2%-3

1%9%

-13%

0%71

7033

6399

Mot

or V

ehic

le P

arts

, Nes

oi

1577

14-4

6%-7

5%-2

1%-4

4%-3

0%72

75-2

0%-5

0%-1

%-2

6%3%

6969

1113

35Tr

ee N

uts

1509

81-2

2%-6

7%55

%22

%32

%10

310

1-1

7%-2

3%3%

17%

31%

7980

3152

24M

en's

and

Boy

s' T

rous

ers,

14

3981

-15%

-7%

20%

41%

40%

7573

-31%

3%-5

%13

%5%

7474

Slac

ks, a

nd Je

ans

3399

11Je

wel

ry (e

xcep

t Cos

tum

e)

1317

37

-71%

-59%

13%

26%

-48%

112

81-3

3%-2

6%-1

4%-7

%22

%72

7311

3210

Fore

stry

Pro

duct

s 12

8326

-4

2%-8

0%57

%-4

4%-1

3%72

77-1

4%-7

9%36

%-5

7%-4

1%70

7633

1315

Alu

min

um S

heet

s, P

late

s, a

nd F

oils

12

2005

-50%

-82%

6%-3

8%-9

%74

79-5

0%-6

8%-2

9%-4

3%-4

0%75

8431

5232

Wom

en's

and

Gir

ls' B

lous

es A

nd S

hirt

s

1146

77-2

9%-5

%-7

%27

%3%

7072

-6%

-7%

4%-1

%5%

6969

3311

11Ir

on a

nd S

teel

10

8903

-73%

-84%

-12%

-47%

-24%

8099

-26%

-95%

30%

-92%

-93%

7914

933

1312

Prim

ary

Alu

min

um

1062

35-1

00%

-100

%-1

00%

-83%

-65%

233

231

-91%

-100

%-5

6%-9

4%-4

4%12

010

631

5228

Men

's a

nd B

oys'

Oth

er O

uter

wea

r 83

820

-42%

-43%

-14%

-29%

-27%

7472

-25%

-18%

-14%

-3%

-10%

7674

3336

18O

ther

Eng

ine

Equi

pmen

t58

797

22%

-53%

159%

-5%

-16%

8484

8%-2

1%32

%-2

%-7

%69

6911

1910

Toba

cco

4979

4-8

0%-6

9%-9

%56

%-3

4%14

592

-23%

-75%

90%

-58%

-46%

105

117

3113

20C

hoco

late

and

Con

fect

ione

ry P

rodu

cts

46

424

-42%

-4%

23%

50%

92%

7680

-17%

-55%

75%

-25%

-24%

7471

Wei

ghte

d A

vera

ge o

f Top

20

Sect

ors

-33%

-72%

113%

-33%

16%

8186

-40%

-64%

15%

-45%

-27%

7581

NA

ICS

D

escr

iptio

n(3

digi

t)

331

Prim

ary

Met

al M

anuf

actu

ring

-68%

-89%

-6%

-63%

61%

8610

1-3

8%-7

9%64

%-7

0%-4

5%78

7733

6Tr

ansp

orta

tion

Equi

pmen

t22

%-8

2%43

6%-2

5%-1

1%77

80-6

9%-8

2%-3

6%-5

3%-3

8%73

9833

9M

isce

llane

ous

Man

ufac

ture

d -4

9%-7

0%3%

-31%

-17%

7676

-40%

-64%

-13%

-36%

-11%

7472

Com

mod

ities

315

App

arel

and

Acc

esso

ries

-24%

-29%

16%

11%

0%83

82-9

%-1

0%6%

-1%

2%82

8211

1A

cric

ultu

ral P

rodu

cts

-34%

-62%

66%

-1%

-6%

9686

-25%

-34%

18%

-7%

7%79

8011

3Fo

rest

ry P

rodu

cts,

Nes

oi-4

2%-8

0%57

%-4

4%-1

3%72

77-1

4%-7

9%36

%-5

7%-4

1%70

7633

3M

achi

nery

, exc

et E

lect

rica

l22

%-5

3%15

9%-5

%-1

6%84

848%

-21%

32%

-2%

-7%

6969

311

Food

and

Kin

dred

Pro

duct

s-4

2%-4

%23

%50

%92

%76

80-1

7%-5

5%75

%-2

5%-2

4%74

71

Sour

ce: U

.S. C

ensu

s B

urea

u, a

utho

r's

calc

ulat

ions

Page 124: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

important export sectors are not more exposed to continued ups and downs than thesame sectors in East Asia.

Another distinct assessment of the potential relationship between African and EastAsian export performance was performed. The purpose of this particular empiricalanalysis was to examine whether the fluctuations in African and East Asian exportperformance to the USA were in fact similar but with one region's exports tending tolag another region's in the same sector. Since the lag structure is not known, a widerange of possibilities were considered (the results are available from the author.)Simple ordinary least squares regressions with SSA monthly export growth as thedependent variable and EA export growth (using negative, zero, and positive lags) asthe independent variable. This procedure would reveal if, for example, in a givensector a recessionary demand shock in the USA affected East Asian exports before theyaffected SSA exports, or visa versa. Such analysis might also reveal little by way ofcommon dynamics of SSA and EA exports in a sector.

Table 2 reports the information on the specification in each export sector thatgenerated the highest explanatory power (R-squared)4. In 12 export sectors a positiveand statistically significant correlation exists between SSAs and EAs paths, in foursectors negative and significant correlations were found, and in the remaining foursectors none of the specifications revealed a significant relationship between theexport paths of the two regions. It is quite surprising that 40 percent of theinvestigated sectors show a negative or no temporal relationship between SSA and EAexports. One explanation could be that same sectors in SSA and in EA differsubstantially with respect to the type (quality?) of products that are shipped to theUSA.

For those 12 African export sectors whose intertemporal variation correlates withthat of East Asian counterparts, eight sectors are such that SSA exports lagged thoseby EA (typically between one to three months). This illustrates that demand trends inthe US are likely to affect EA before SSA. Focusing on the R-squares for the reportedrelationships, it appears that African and East Asian export paths can explain around50% of each other's variation given that the correlation is positive (except for apparelwhere this number is around 20%).

Interestingly, the one major exception to the finding that "SSA exports lag EAexports" is in the largest Sub-Saharan African export sector considered here, namely,Primary Smelting and Refining of Non-ferrous Metals (except Copper andAluminum). In this particular sector, a specification where SSA exports lead EAexports by three months best fit the data. These last two paragraphs suggest their existeconomically meaningful differences in the temporal sequence through whichdemand shocks from the USA affected the exports of leading sectors in Sub-SaharanAfrica and East Asia during the recent global economic downturn. No doubt as moremonthly and quarterly data becomes available, it will become possible to examinethese intertemporal dynamics in greater detail, not least because these dynamics mayshed light on any regional differences in the temporal sequence of any potentialexport recovery.

Africa Resists the Protectionist Temptation: The 5th GTA Report

98

4 This investigation is not done for separate years due to the small number of observations (a maximumof 24 observations can be used, which corresponds to 2x12 months.

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5 Within Africa reshuffling of export patterns

Rather than examine the changes in the total exports of a given sector in SSA to theUSA, as was done in the last section, here the goal is to investigate whether exportshares within Africa have changed during the crisis. Table 3, column 3 reports a indexof reshuffling in each sector5; the higher the value of the index the larger the changesin the intra-regional distribution of that sector's exports to the US market. Thereported indices reveal that between 2008 and 2009 in four of the top 20 largestexport sectors more than 10 percent of the total value of that sector's exports werereshuffled among SSA nations between 2008 and 2009.6 For example, Lesotho's shareof total SSA exports of Mens and Boys' Other Outerwear fell 14.59% and Madagascar'sshare rose 12.32% (Columns 4-6 of Table 3 list the top three exporters from aparticular sector and indicate their share in 2009 as well as the change of this sharefrom 2008 to 2009.) Table 3 further illustrates that for 8 of the 20 sectors almost allof the SSA exporters are located in South Africa. This finding shows South Africa'sdominant position in non-primary (manufacturing) industries.

How Much Did Africa’s Top Exports Fall During the Crisis?

99

5 The reshuffling index is calculated as follows

where syi, c is the export share of country c in sector i in year y.

6 Given the construction of the reshuffling index, where each 1% shift in production is going to create a2% increase in the index,

Table 2 Correlations between African and East Asian export paths

NAICS Description Correlation Sign Specification with Highest R2(6digit) highest R2

331419 Primary Smelting and Refining of Nonferrous + plus-3-months 0.61Metals (except Copper and Aluminum)

336111 Automobiles and Light Duty Motor Vehicles, + minus-2-months 0.52Including Chassis

339913 Jewelers' Material and Lapidary Work + minus-1-month 0.46315239 Women's and Girls' Other Outerwear + minus-3-months 0.12331112 Electrometallurgical Ferroalloy Product + minus-2-months 0.76315223 Men's and Boys' Shirts (except Work Shirt) not sig.111339 Other Noncitrus Fruits + minus-1-month 0.31336399 Motor Vehicle Parts, Nesoi + minus-3-months 0.46111335 Tree Nuts not sig.315224 Men's and Boys' Trousers, Slacks, + plus-2-months 0.23

and Jeans339911 Jewelry (except Costume) - minus-1-month 0.28113210 Forestry Products + instantaneous 0.63331315 Aluminum Sheets, Plates, and Foils not sig.315232 Women's and Girls' Blouses And Shirts + minus-2-months 0.22331111 Iron and Steel + minus-1-month 0.36331312 Primary Aluminum - minus-1-month 0.29315228 Men's and Boys' Other Outerwear - plus-1-month 0.19333618 Other Engine Equipment + minus-3-months 0.51111910 Tobacco - plus-3-months 0.27311320 Chocolate and Confectionery Products not sig.

Source: U.S. Census Bureau; author's calculations

∑ −= 09,

08, cicii ssIoR

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Africa Resists the Protectionist Temptation: The 5th GTA Report

100

Table 3 Within Africa reshuffling

Naics (6digit) Commodity Desc Index of Top 3 Exporters given that export share Reshuffling >= 5% either in 2008 or 2009

331419 Primary Smelting and Refining of Nonferrous 1.67% South AfricaMetals (except Copper and Aluminum)

100.00%0.00%

336111 Automobiles and Light Duty Motor Vehicles, 0.01% South AfricaIncluding Chassis

100.00%0.00%

339913 Jewelers' Material and Lapidary Work 10.80% South Africa Botswana Angola70.88% 12.67% 5.17%-2.77% -1.13% 2.83%

315239 Women's and Girls' Other Outerwear 14.96% Kenya Madagascar Lesotho28.92% 24.49% 24.15%-3.69% -2.25% 3.57%

331112 Electrometallurgical Ferroalloy Product 15.36% South Africa Zimbabwe100.00% 0.00%7.68% -7.68%

315223 Men's and Boys' Shirts (except Work Shirt) 15.97% Mauritius Lesotho Madagascar33.27% 28.86% 19.60%3.20% 2.17% -4.97%

111339 Other Noncitrus Fruits 36.93% Ethiopia Kenya Madagascar22.77% 19.98% 16.49%-17.56% 1.42% 0.83%

336399 Motor Vehicle Parts, Nesoi 0.26% South Africa100.00%0.00%

111335 Tree Nuts 19.44% IvoryCoast Ghana Nigeria77.65% 8.53% 7.03%-8.02% 6.84% 1.34%

315224 Men's and Boys' Trousers, Slacks, and Jeans 19.14% Lesotho Kenya Madagascar46.54% 16.72% 16.51%2.57% -3.75% -5.53%

339911 Jewelry (except Costume) 3.73% South Africa100.00%0.00%

113210 Forestry Products 21.39% Liberia IvoryCoast Nigeria51.84% 15.44% 8.89%-7.10% 2.45% -1.34%

331315 Aluminum Sheets, Plates, and Foils 0.00% South Africa100.00%0.00%

315232 Women's and Girls' Blouses And Shirts 13.12% Lesotho Kenya Madagascar31.68% 20.92% 19.28%-0.90% 3.17% 2.19%

331111 Iron and Steel 0.38% South Africa100.00%0.00%

331312 Primary Aluminum 15.36% South Africa Mozambique Nigeria73.93% 16.75% 9.32%-26.07% 16.75% 9.32%

315228 Men's and Boys' Other Outerwear 35.83% Lesotho Madagascar Kenya28.98% 38.66% 17.30%-14.59% 12.32% 3.06%

333618 Other Engine Equipment 0.91% South Africa100.00%0.00%

111910 Tobacco 8.53% Malawi Cameroon South Africa92.06% 2.48% 2.39%-2.77% -0.19% 1.49%

311320 Chocolate and Confectionery Products 25.65% IvoryCoast Ghana Cameroon75.44% 17.64% 6.15%-10.29% 12.15% 0.63%

Source: U.S. Census Bureau; author's calculations

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Overall, though, the degree of reshuffling across SSA appears to be quite limited, atleast in respect of exports to the US market. If all SSA exporters in a given sector facedthe same aggregate demand shocks, then it would seem from the paucity ofreshuffling that there were few crisis-induced shifts in the relative supply sideperformance. An alternative interpretation of these results is as follows: in SSA'sleading export sectors the aggregate demand shock from the crisis appears to have hitmost export sources relatively evenly and any discriminatory commercial policymeasures7 undertaken by SSA nations or by the USA do not appear to have reshuffledexports much between SSA nations.

6 Implications of this chapter's findings

The purpose of this paper has been to construct some sensible benchmarks againstwhich to compare SSA export performance during the recent global economicdownturn. Such benchmarks may be useful in stimulating further research andcoming to some necessarily interim assessments on certain policy matters. Forexample, while concerns about trade finance holding back SSA exports were givenplenty of attention during the past 18-24 months, it should be borne in mind thatleading SSA exports to the USA fell less than comparable exports from East Asia,where fewer concerns about trade finance were expressed. Of course, other factorsmay account for these regional differences in export performance, but if trade financereally was a particularly important factor holding backing SSA exports, then whatother factor or factors were reduced EA exports further? Or, were our originalassumptions about the impact of trade finance on SSA exports correct in the firstplace?

Comparing the temporal sequence of SSA and EA exports of the same goods to theUS market was revealing too. It seems that Sub-Saharan African exporters of non-ferrous metals saw their exports fall to the US market about three months before theirEast Asian counterparts. Whereas, for many of the other top 20 exports to the USmarket, East Asian total exports began to fall one to three months before those fromSub-Saharan Africa. Such findings, if accurate, reveal a lot about the spread of theaggregate demand shock from the United States to the developing regions of theworld economy. One might also ask what is it about the nonferrous metals exportedby SSA, or the contracts that SSA exporters sign, that accounts for importer demandsaffecting sales faster than in East Asia. Are any changes in contracting clauses orexport specialization called for?

Finally, perhaps the most important implication of the analysis of the potentialreshuffling of African exports to the USA is that there appears, on the basis of themeasure developed here, to be little by way of intra-regional redistribution of sectoralexports during the crisis. Such a finding is consistent with there being little by way ofsupply side shifts (or comparative advantage) changes between 2008 and 2009 and,perhaps encouragingly, little evidence of commercial policies being implemented thatdiscriminated between Sub-Saharan African exporters.

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7 Including incentives to export.

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References

Wim, N. (2010). ‘Africa and the global economic crisis: a risk assessment and actionguide’. MPRA Paper No. 19856. Munich Personal RePEc Archive.

Berman, N. & Martin, P. (2009). ‘The vulnerability of sub-Saharan Africa to thefinancial crisis: the case of trade’. European University Institute and Sciences-Po,mimeo.

Draper, P. & Biacuana, G. (2009). ‘Africa and the trade crisis’. VoxEU(http://www.voxeu.org/ index.php?q=node/4268).

Humphrey, J. (2009). ‘Are exporters in Africa facing reduced availability of tradefinance?’. IDS Bulletin. Volume 50 (5).

Haddad, M., Lim, J., & Saborowski, C. (2010). ‘Does openness increase volatility? Notif countries are sufficiently diversified’. VoxEU(http://www.voxeu.org/index.php?q=node/4268).

About the author

Martin Wermelinger is a member of the Global Trade Alert team at the Swiss Institutefor International Economics and Applied Economic Research, University of St.Gallen, Switzerland. He is also doctoral student in the Department of Economicsconducting applied and theoretical research on trade flows.

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Introduction

Trade relations between the United States and the least developed countries (LDCs)are problematic. Even more than the developing countries as a group, the LDCs arewidely thought to need preferential access to industrialized countries' markets. Andwhile the United States and the rest of the world have agreed to extend duty-free,quota-free (DFQF) access to imports from these poorest countries, that promise hasyet to be fulfilled in its entirety. Ironically, one of the barriers to the fulfillment of thatpledge is a dispute within the LDC group: Those countries that already enjoy DFQFtreatment, or at least something approximating it, see the extension of similartreatment to the other LDCs as a threat to their own interests. Those concerns, whichare expressed principally by the LDCs in sub-Saharan Africa as well as Haiti, are sharedby some policymakers in the United States.

The LDCs are the poorest of the world's poor countries. Taken as a group, the 49LDCs comprise roughly 11% of the world's population, but account for barely onepercent of the world's GDP. These countries are granted special recognition in thesystems of both the United Nations (UN) and the World Trade Organization (WTO).The LDCs are so designated by the UN on the basis of objective criteria.1 The circlesof African countries and LDCs overlap significantly. Thirty-three of the 49 LDCs arelocated in Africa. This means that Africa accounts for just over two-thirds of theworld's LDCs, and that just over-two-thirds of the 47 independent countries in sub-Saharan Africa are LDCs. Haiti is the only LDC in the Western Hemisphere, with allof the other countries in this category being located in Asia and the Pacific.

Although the LDCs share many common concerns, they are often divided overissues affecting access to the US market. Those divisions are rooted in three facts: (1)apparel products dominate the exports of many LDCs to the United States, (2) Haitiand most of the African LDCs currently enjoy preferential access to the US market forthese products under special preference programs, and (3) those LDCs that alreadyenjoy preferential access to the US market fear that any reductions of their marginsof preference, whether through erosion (i.e., multilateral liberalization in the DohaRound) or dilution (i.e., through the extension of preferential treatment to othercountries) will come at their expense. From their perspective, LDCs such as

US Trade Policy Towards the Least DevelopedCountries: Are these Countries' InterestsCongruent or in Conflict?

Craig VanGrasstekJohn F. Kennedy School of Government, Harvard University

1 While the benchmarks have evolved over the decades, these criteria are based on three tests: a lowincome, as measured by the gross domestic product per capita; weak human resources, as measured bya composite index of indicators; and a low level of economic diversification, as measure by anothercomposite index. The criteria are periodically examined to adjust the list. For more information seehttp://www.unohrlls.org/en/ldc/25/.

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Bangladesh and Cambodia pose the same sort of threat as China, Vietnam, and otherapparel-exporting powerhouses in Asia. By contrast, the Asian LDCs that do notcurrently enjoy preferential access to the US market would like either to obtaintreatment that is comparable to that enjoyed by Haiti and African LDCs or, failingthat, multilateral reduction in the US tariffs.

This paper advances two arguments regarding the interests of the African LDCs.The first is that while it is in the interests of these countries to maintain and seekimprovements in the preferential access that they enjoy to the US market, thecompetitive threat that they face from the Asian LDCs is vastly exaggerated. While itis true that access to the US apparel market tends to be seen in zero-sum terms, andthat any benefit extended to one country might come at the expense of others, theactual value of apparel imported from the Asian LDCs is far below that of othercountries with which all of the apparel-exporting LDCs must compete. Simply stated,the Asian LDCs comprise an almost negligible share of the threat posed to the otherLDCs.

The second point is that the LDCs as a whole, including those from Africa andother regions, have allowed this dispute to undercut their effectiveness in multilateraltrade negotiations by producing an unneeded rift within the group. It is in theinterests of all LDCs for these countries to cooperate effectively, and they would allbenefit from healing that rift. It would serve their collective interests if the LDCs wereto encourage the United States to take three steps to enhance the effectiveness ofpreferential trade programs for developing countries in general, and for the LDCs inparticular. The first is the renewal of the Generalized System of Preferences, which iscurrently scheduled to expire at the end of 2010. Second, the United States shouldalso enact of a new trade program that would extend enhanced preferences to thoseAsian LDCs that do not currently benefit from the regional programs now in place forLDCs in Africa and the Americas. Third, the renewal and expansion of thesepreferential programs offers an opportunity to reform of the rules of origin for thepreferential trade programs in order to make them more user-friendly for thebeneficiary countries and their partners in the United States. These reforms wouldhelp to fulfill a commitment made by the United States and other industrializedcountries, and benefit not only the LDCs but also the producers and consumers in theUnited States.

The commitment to extend duty-free, quota-free treatment to LDCs

The United States and the rest of the world community have made a commitment toextend DFQF treatment to imports of products from the LDCs. While thatcommitment has largely been met with respect to imports from most LDCs locatedin Africa or the Americas, there remain many imports from Asian LDCs that are stillsubject to very high average tariffs.

The DFQF initiative was originally made in the 1996 WTO Singapore Declaration2

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2 See paragraph 14 of the Declaration, in which the ministers agreed to a Plan of Action that includes"provision for taking positive measures, for example duty-free access, on an autonomous basis, aimedat improving their overall capacity to respond to the opportunities offered by the trading system"

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and reiterated as a commitment in 2000 at the United Nations Millennium Summit.In the Summit's Millennium Declaration, world leaders agreed to a set of measurablegoals and targets for combating poverty, hunger, disease, illiteracy, environmentaldegradation, and discrimination against women. Among these MillenniumDevelopment Goals was one that "call[ed] on the industrialized countries … [t]oadopt, preferably by the time of [the Third United Nations Conference on the LeastDeveloped Countries to be held in May 2001], a policy of duty- and quota-free accessfor essentially all exports from the least developed countries." That deadline was notmet, but the commitment was reiterated when the Doha Development Agenda (alsoknown as the Doha Round) was launched in 2001. In paragraph 42 of the DohaMinisterial Declaration of 2001, the ministers "recognize[d] that the integration of theLDCs into the multilateral trading system requires meaningful market access, supportfor the diversification of their production and export base, and trade-related technicalassistance and capacity building." In that same paragraph, the ministers stated thatthey "commit[ted them]selves to the objective of duty-free, quota-free market accessfor products originating from LDCs."

There are two reasons why the Doha Round per se is not likely to produce a dealthat will fulfill the DFQF pledge. The first is that the outcome of the round itself isuncertain: A series of deadlines have been missed, the talks have repeatedly brokendown, and no one can say whether or when the round will ever be concluded. Thesecond is that the deals now on the table for LDCs fall far short of true,comprehensive DFQF treatment.

At the Hong Kong (2005) ministerial meeting of the WTO the ministers agreed that"developed-country Members shall … [p]rovide duty-free and quota-free marketaccess on a lasting basis, for all products originating from all LDCs by 2008 or no laterthan the start of the implementation period in a manner that ensures stability,security and predictability." That commitment was nevertheless restricted by a furtherproviso allowing countries to limit provision of DFQF to "at least 97 per cent ofproducts originating from LDCs, defined at the tariff line level." This is a potentiallycrippling restriction. The 97% figure may appear at first glance to require substantialcoverage, but it is significant that this proportion is to be counted by tariff lines andnot on a trade-weighted basis. Depending on how the exclusions are selected, theycould ensure that the DFQF initiative represents little change from the status quo.3

Because the Doha Development Agenda negotiations are not likely to producecommitments that fulfill the DFQF commitment, the United States should insteadfollow the precedent set by other industrialized countries that have enacted specialprograms that extend DFQF treatment to the LDCs on an autonomous basis. Australiaoffers completely DFQF treatment by both tariff lines and actual imports, and allimports from the LDCs are covered in Canada, New Zealand, Singapore and the EU(with the exception of arms). The United States is among the countries that offersDFQF access for most, but not all, imports from the LDCs.

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3 In 2008 the United States imported goods from the LDCs under 4479 separate eight-digit lines in theHarmonized Tariff Schedule. If one were to exclude the maximum 3% of those lines from the DFQFinitiative, that would come to some 134 lines. Excluding that number of tariff lines could easily meansomething approaching a 100% exclusion for the apparel sector.

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Treatment of imports from LDCs under current US preferenceprograms

The United States has extended preferential access to developing countries ever sincethe Generalized System of Preferences (GSP) entered into effect in 1976. The scope ofGSP benefits was expanded in 1997 for the LDCs, including duty-free access forpetroleum. Other programs that offer preferential access to the LDCs, as well as otherdeveloping countries, include the Caribbean Basin Initiative (CBI), which was firstextended under the Caribbean Basin Economic Recovery Act (CBERA) in 1983 andthen expanded under the Caribbean Basin Trade Partnership Act (CBTPA) of 2000; theAfrican Growth and Opportunity Act (AGOA), which came into effect in 2001; andthe Haitian Hemispheric Opportunity through Partnership Encouragement Act(HOPE), which came into effect in 2007.

Under these programs the United States does extend close approximation of DFQFtreatment to several LDCs. As can be seen in Table 1, nineteen of the 49 LDCs receivecomprehensive preferences under either the CBI or AGOA. Another seven AfricanLDCs, none of which are major textile and apparel exporters, receive free access forthe vast majority of their exports. The DFQF access to the US market is much moreimportant to the countries that depend upon apparel exports (which would otherwiseface very high tariffs) than it is to those countries that export oil (which wouldotherwise face very low tariffs).

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Table 1 Designations of LDCs under US preferential programs (Status as of 1 May 2010; countries listed according to highest preferences received)

Apparel-dependent All other LDCs Oil-dependent

Comprehensive Haiti, Lesotho, Benin, Burkina Faso, Dem. Rep. Chadpreferences Madagascar, Malawi of the Congo, Ethiopia, Gambia,

Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone,Tanzania, Uganda, Zambia

Partial AGOA – Burundi, Djibouti, Guinea, Angola,preferences Central African Republic,* East Equatorial Guinea

Timor, Kiribati, Liberia,* Samoa,Solomon Islands, Somalia,*Togo,* Tuvalu, Vanuatu

Regular GSP – Eritrea* –preferences

No preferences Laos Maldives, Myanmar, SUdan* –

Notes: * = The country is potentially eligible for the African Growth and Opportunity Act but has not beendesignated. Comprehensive Preferences = Full AGOA benefits for Africa, or CBI, CBTPA, and HOPE forHaiti. The apparel- and oil-dependent countries are those for which these commodities account for at least20% of their exports to the United States.

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This still leaves many countries that receive only GSP preferences, which coveronly a limited range of products,4 or no preferences at all. The problem is greatest forthe countries that are in regions outside the scope of the African and Caribbeanprograms. All of the other LDCs have at least a path to DFQF-like treatment. Theseprograms, together with the phase-in of the results of multilateral liberalization in theUruguay Round, produced a substantial expansion in the share of imports from LDCsthat enter on a duty-free basis. At the start of this decade about half of the goodsimported from LDCs entered the United States on a dutiable basis. That share fellsteadily as a result of new, preferential programs.

As can be appreciated from the data illustrated in Figure 1, the differing treatmentextended to distinct LDCs has produced a real irony: LDCs are subject to either thelowest or the highest average tariff rates, depending on the group. Four apparel-dependent LDCs in Asia are denied preferential treatment for their most importantexports, and are subject to tariffs that average 15-16%. Those average have in factincreased since the Uruguay Round results began to take effect in the mid-1990s, eventhough average tariffs on most other countries have decreased curing that period. Thedecrease has been especially notable for all other LDCs. Those countries had facedsomewhat higher than average tariffs prior to 2000, when new preferences wereenacted, but since then they have dropped to almost nothing.

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4 The range of goods that are eligible for duty-free treatment under the GSP is wider for the LDCs than itis for other developing countries, but the law does not specify the standards by which the LDCs are tobe determined. Forty-four of the LDCs are designated for GSP-LDC treatment. Four LDCs are deniedbasic GSP treatment, and hence are excluded from the GSP-LDC program as well, and one LDC benefitsonly from the regular GSP program.

0

2

4

6

8

10

12

14

16

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Four Asian LDCsChinaRest of WorldOECD MembersAll Other LDCs

Figure 1 Average tariffs on US imports from selected partners, 1996-2009(calculated duties as a percentage of the value of goods)

Source: Calculated from US International Trade Commission data.

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The differences in the tariff treatment extended to the Asian and other LDCs isfurther shown by the data in Table 3. The vast majority of the imports from the fourAsian LDCs were subject to duties in 2009, compared to just 6.3% of the imports fromother LDCs. Just over one-tenth of the imports from Haiti and sub-Saharan Africancountries were duty-free on a most-favored-nation (MFN) basis, and the rest receivedpreferential treatment under various programs.

As can be seen from the data in Table 2, Bangladesh, Cambodia, Laos, and Nepalwere dutiable on a normal trade relations (NTR) basis. The only preferences that thesecountries receive come under the GSP (to which Laos is not yet designated); thatprogram accounted for only one-half of one percent of US imports from thesecountries. By contrast, all but 3.16% of the imports from the other 44 LDCs enteredon a duty-free basis, primarily under AGOA and the GSP.

The LDCs face not only higher average tariffs, but also higher average shippingcosts. Those higher shipping costs offer a rough estimate of the actual dollar costs thatare imposed on LDCs by some of their structural disadvantages, including some thatare immutable (i.e. distance from the US market) and others of which can be changedonly slowly and with great effort (e.g. costly and inefficient port facilities andtransportation networks). On average, it costs $3.93 to ship $100 worth of goods froman LDC to the United States in 2008. When this is added to the average tariff of $2.90,that comes to total costs of $6.57.5 That is almost two and a half times more than thecosts that one would need to pay in order to import $100 worth of goods from theaverage industrialized country ($2.64). Put another way, even if all the tariffs on theLDCs were to be removed, and all of the tariffs on industrialized countries were toremain in place, it would still cost substantially more to import goods from an LDCthan it does to import goods from an industrialized country.

The need for a new preferential program

The data presented above demonstrate that while the DFQF pledge has largely beenfulfilled for the LDCs in Africa and the Americas, the United States falls far short of

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5 Author's calculations, based on US International Trade Commission data.

Table 2 Treatment of US imports from LDCs, 2009(Imports for consumption, customs value, thousands of dollars and percentages)

All LDCs Share 4 Asian LDCs Share All other LDCs Share

MFN Dutiable 6,499,444 30.2% 5,500,854 96.2% 998,590 6.3%MFN Duty-Free 2,048,479 9.5% 183,906 3.2% 1,864,573 11.8%AGOA 5,987,667 27.8% 0 0.0% 5,987,667 37.8%GSP 6,620,530 30.7% 34,951 0.6% 6,585,579 41.6%

Eligible for GSP-LDCs 6,515,171 30.2% 11,227 0.2% 6,503,944 41.1%Eligible for regular GSP 105,359 0.5% 23,724 0.4% 81,635 0.5%

Caribbean Basin Initiative 388,845 1.8% 0 0.0% 388,845 2.5%Eligible for CBTPA 373,967 1.7% 0 0.0% 373,967 2.4%Eligible for CBERA 14,878 0.1% 0 0.0% 14,878 0.1%

Total 21,544,965 100.0% 5,719,711 100.0% 15,825,254 100.0%

Note: The "4 Asian LDCs" are Bangladesh, Cambodia, Laos, and Nepal.Source: Calculated from US International Trade Commission data.

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meeting that goal for the apparel-exporters among the Asian LDCs. That inequitycould be resolved by enacting a new preferential program that would extendtreatment to these countries that is comparable to that now enjoyed by LDCs in otherregions.

Those who oppose such a program often raise the objection that any benefitsextended to the Asian LDCs will necessarily come at the expense of the AGOAbeneficiaries and Haiti. These fears, however, are not borne out by trade data. Whileit is true that the apparel-exporting LDCs do compete with one another in the USmarket, it would be a vast exaggeration to suggest that the Asian suppliers amongthem have taken significant shares from Haiti and the African countries. To thecontrary, all of the apparel-exporting LDCs – whether or not they currently receivepreferential access to the US market – are instead in competition with middle-incomecountries in Asia.

This point is clear from the data reported in Table 3, which shows countries' sharesof the US apparel-import market from 2000 through 2009. The most significant eventfor apparel trade that occurred during this period was the end of the import-quotasystem that had been established under the MultiFibre Arrangement (MFA). Theexpiration of the final MFA quotas in 2005 meant that most imports from large, Asiandeveloping countries such as China and Vietnam were no longer constrained. Thesecountries had already been increasing their shares of the US apparel-import market inthe years before that watershed, but that process accelerated rapidly after the quotasdisappeared. In 2009 six Asian developing countries (i.e. China, Vietnam, Indonesia,India, Pakistan, and Sri Lanka) supplied 60.82% of US apparel imports, which is a27.90 percentage point increase since the end of the MFA quotas. That is nearly tentimes greater than the increase in imports from Bangladesh, Cambodia, Laos, andNepal during the same period (2.99 percentage points). Moreover, imports from theother LDCs have fared better than many expected would be the case: The share of USapparel imports originating in Haiti and the African LDCs in 2009 (1.53%) was only0.23 percentage points lower than it was in 2004 (1.76%).

The bottom line is simple: The LDCs in Africa and the Americas have fared muchbetter in the post-MFA period than many had expected, and to the limited extent thatthey have lost market share it can be attributed much more to middle-income Asiancountries than to the poorest Asian countries. Granting preferential treatment toapparel imported from Asian LDCs will not come at the expense of LDCs in otherparts of the world.

The need for reform

The effectiveness of the LDC group as a negotiating instrument in Geneva has beengreatly undercut by disputes between those LDCs that receive DFQF access to the USmarket and those who hope to get it. One consequence of that dispute is that it hasdegraded the ability of these countries to work together on issues of common interest.

While differences over their trade relations with the United States have been animportant source of discord within the LDC group, the current debate in Washingtonover reform of US preference programs offer these countries an opportunity to work

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Tabl

e 3

Shar

es o

f the

US

impo

rt m

arke

t for

app

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, 200

0-20

09(P

erce

ntag

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ares

of t

otal

US

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AIC

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per

cent

age-

poin

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are

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r)

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nge

Cha

nge

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2000

-04

2004

-09

Leas

t de

velo

ped

6.55

6.96

6.59

6.72

6.72

7.08

8.07

8.52

9.09

9.48

0.17

2.76

Four

Asi

an L

DC

s4.

935.

124.

874.

854.

965.

576.

637.

057.

717.

950.

032.

99B

angl

ades

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363.

373.

032.

782.

803.

193.

783.

934.

525.

10-0

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2.30

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281.

501.

671.

862.

022.

302.

773.

073.

122.

800.

740.

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1.62

1.84

1.72

1.87

1.76

1.51

1.44

1.47

1.38

1.53

0.14

-0.2

3H

aiti

0.41

0.37

0.35

0.44

0.47

0.55

0.58

0.57

0.54

0.77

0.06

0.30

Leso

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0.22

0.35

0.52

0.59

0.65

0.52

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170.

290.

140.

300.

460.

370.

310.

370.

370.

320.

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0.82

0.83

0.71

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129

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0.08

1.44

3.57

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3.67

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393.

663.

373.

273.

413.

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790.

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dia

3.20

3.11

3.31

3.26

3.36

4.24

4.32

4.18

4.20

4.41

0.16

1.05

Paki

stan

1.61

1.63

1.58

1.66

1.72

1.80

1.95

2.00

2.08

2.07

0.11

0.35

Sri L

anka

2.35

2.42

2.28

2.17

2.21

2.23

2.20

2.01

1.96

1.83

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4-0

.38

Latin

pre

fere

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l 29

.63

28.8

228

.33

26.2

825

.28

22.6

819

.99

17.6

017

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15.9

0-4

.35

-9.3

8C

AFT

A-D

R14

.50

14.6

414

.75

13.9

513

.62

12.3

311

.05

10.1

210

.09

9.35

-0.8

8-4

.27

ATPA

1.30

1.19

1.19

1.54

1.83

1.88

1.78

1.54

1.52

1.25

0.53

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165.

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est o

f wor

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538

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36.5

335

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28.5

325

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21.7

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together. With the authorization for the GSP and another preferential trade program6

due to expire at the end of 2010, Congress has taken preliminary steps towards widerreforms in the preference programs.7 There are three steps that the LDCs could urgeWashington to take.

The first is the renewal of the GSP, including the expanded list of goods that areeligible for duty-free treatment when imported from LDCs. As was shown in Table 2,close to one-third of US imports from the LDCs enter duty-free under this program.It will disappear, however, unless Congress acts to renew it before the end of 2010.

A second step would be to create a new program that extends AGOA-like treatmentto imports from the Asian LDCs that do not currently enjoy duty-free access to theUS market. That would fulfil the promise that the United States and the rest of theworld made to extend DFQF treatment to imports from LDCs, and also establishparity in the treatment of the different countries in this group.

A third step would be to reform the rules of origin (ROOs) of all of the existing andpotential preferential programs. ROOs are one of the more problematic aspects ofpreferential trade programs in both the United States and other industrializedcountries, as is especially true in the case of apparel. As part of the Hong KongMinisterial Decision, the ministers agreed that developed countries shall "[e]nsurethat preferential rules of origin applicable to imports from LDCs are transparent andsimple, and contribute to facilitating market access." This commitment to reform ofunilateral preferential ROOs is a matter of high priority for the LDCs, as expressed ina joint submission that they made to the WTO in mid-2006. In its own analysis of thematter, the US International Trade Commission concluded that tariffs and quotas areless trade-distorting than stringent ROOs.8 Any initiative to complete the process ofextending DFQF treatment should thus be accompanied by reform of ROOs in theexisting programs. Both the programs that are now in place, as well as new benefitsthat may be created, should meet the Hong Kong Ministerial Decision's standard ofbeing "transparent and simple, and contribut[ing] to facilitating market access" forthe LDCs.

Many members of Congress and other policymakers in Washington have oftenexpressed their eagerness to promote the trade and development interests of theAfrican LDCs. That is one reason why the proposals made in recent years for thecreation of a new, preferential trade program for the Asian LDCs have gone nowhere:Pro-African policymakers in the United States have shared the mistaken belief thatincreased imports from the Asian LDCs come at the expense of the Africans. Forreasons discussed in the preceding pages, the LDCs as a whole would benefit if theywere to put these differences behind them, renew their earlier calls for DFQF for allLDCs, and make these views known to those US policymakers who hope to promotethese countries' development through trade.

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6 The Andean Trade Preferences Act, which is due to expire at the end of 2010, does not cover any LDCs.7 Congress already acted in May, 2010 to reauthorize for ten years the Haitian Hemispheric Opportunity

through Partnership Encouragement Act and the Caribbean Basin Trade Partnership Act, both of whichwere due to expire this year.

8 US International Trade Commission, The Economic Effects of Significant US Import Restraints: FifthUpdate 2007 USITC Publication 3906 (February, 2007), page 80.

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About the author

Craig VanGrasstek teaches courses on the political economy of trade policy in boththe executive education and degree programs of the John F. Kennedy School ofGovernment, Harvard University. He is also on the faculty of Georgetown University,where he teaches an innovative course on literature and foreign policy. His firm,Washington Trade Reports, specializes in monitoring and analyzing current issues intrade policy. Dr. VanGrasstek has worked as a consultant for the World TradeOrganization, the Organization for Economic Cooperation and Development, theUnited Nations Conference on Trade and Development, the World Bank, and otherinternational organizations, as well as government agencies and private firms. Dr.VanGrasstek received his doctorate in Politics from Princeton University in 1997. Healso holds the degree of Master of Science in Foreign Service from GeorgetownUniversity (1983), and received a bachelor's degree in International Relations fromthe University of Minnesota (1981). In addition to numerous reports to internationalorganizations, book chapters, and journal articles, Dr. VanGrasstek's publicationsinclude (with Stephen Lande) The Trade and Tariff Act of 1984: Trade Policy in theReagan Administration (Lexington, Massachusetts: Lexington Books, 1986).

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1 Introduction

Coinciding with the ongoing economic and financial crisis and with the manycontemporary protectionist measures undertaken by industrialized countries thathave restricted their trade with the developing countries, one of the most importantschemes of non-reciprocal market access for the latter, the Generalized System ofPreferences (GSP) of the European Union (EU), is due to expire on December 31,2011. To ensure that developing country trade is not further disrupted by the lapse ofthe EU's GSP regime, a proposal for a new GSP regulation needs to be made during2010, that is, during the current strained macroeconomic circumstances. Theforthcoming revision of the EU GSP scheme raises several questions about its scopeand contents and whether the depth and uncertain duration of the economicdownturn might influence the generosity of those industrialized countries offeringpreferences.

On March 16, 2010 the EU Trade Commissioner Karel de Gucht launched a publicconsultation on the future of the European Union's trade policy towards thedeveloping countries, which includes a review of EU's GSP scheme. In his openingaddress to that meeting the EU Trade Commissioner stated:1

"The fundamental question for the review is whether the current GSP objectivesremain valid and whether GSP preferences are still the best tool to achieve them.That implies asking the hard questions: is it right that GSP continues to beavailable to traders who have in the meantime become major global players ininternational trade with very significant and wide-ranging exports to the EU?Should the EU give preferences to countries which already benefit from otherpreferences granted by the EU? Should the architecture of GSP, - which includesGSP, GSP+ and EBA - be changed? And should the current arrangements formonitoring compliance be reinforced?"

This suggests that there is the political will to question several elements of the currentGSP regulation, which might result in economically-meaningful reforms to the GSPregulation that, in turn, could affect Sub-Saharan African commercial interests(amongst others). The European Parliament, now involved in GSP matters andassociated legislation, has called on the European Commission to submit a revisedregulation proposal by June 1, 2010 and this is when concrete proposals will be

Reform of the EU GSP Regime and itsPotential Impact on Sub-Saharan Africa

Malwina NowakowskaUniversity of St. Gallen

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1 Opening speech, Karel de Gucht, European Commissioner for Trade, Conference on the EU trade policytowards Developing Countries, Brussels, March 16, 2010.

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available for evaluation. Having provided an overview of the current EU GSP regimeand its evolution since 2001, this paper then examines the lessons from past GSPrevisions made under similarly strained economic circumstances in the early 1980s.Then, on the basis of what is known today about the potential reform options, thispaper assesses their possible impact on Sub-Saharan African countries. Ultimately, thegoal then is to examine what is at stake for Sub-Saharan African nations from certainleading proposals to reform the EU's GSP regime, bearing in mind that the recentglobal economic crisis may well inform the reform of that regime.

2 Overview of the EU GSP since 2001

The Generalized System of Preferences is a voluntary opening of markets by theindustrialized countries to imports from the developing countries through theelimination or reduction of import tariffs. All major trading countries offer suchschemes, although significant differences exist between the amount of incrementalmarket access offered. In 1971 the EU GSP was the first one implemented in responseto a UNCTAD proposal of that time and has been extended a number of times sincethen, each time with a limited duration.

The European Union's unilateral preferences are broad in scope. The EU GSPcurrently covers 176 countries and offers different level of preferential treatment togroups of countries at different stages of development. In total 49 Least DevelopedCountries (LDCs) (more than half of them Sub-Saharan African countries) areprovided with the most preferential treatment as all of their exports enter the EUmarket duty-free, apart from exports of arms and several products temporarilyexcluded such as rice, bananas, and sugar2. All other countries fall under the generalGSP scheme. Optionally, since July 1, 2005 those countries that are deemed"vulnerable" in terms of size or poor export diversification but that assume obligationsarising from the ratification of a number of international accords (on labor standards,good governance, human rights, and environmental protection) can participate inthe GSP+ system (the Special Incentive Arrangement for Sustainable Developmentand Good Governance) and, thereby, receive duty-free access for most productscovered, which is an extension of preferences as compared with the general GSP-treatment.

Also other major preference-giving countries including Canada, Japan, and the UShave significantly extended their GSP schemes over time, especially with regards tothe African LDCs. The US AGOA extended US preferences to African countries byadding 1837 tariff lines. Thus, the period since 2001 can be regarded as relativelyprogressive in terms of granting further preferential access to the EU market andmarkets of the developed countries in general. However, in 2001 some higher incomedeveloping countries lost preferences on a wide range of products due to new so-called graduation criteria introduced by the EU. Indeed, as will seen below, it is thedifferences in treatment across developing countries that is a recurring theme indiscussions about the effects of GSP regimes and their reforms over time.

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2 Banana and rice were covered by the scheme in 2006 and sugar in 2009, the inclusion of the latter wasdelayed by three months due to a change in the EC's marketing year.

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3 The current EU GSP Regulation 2009-2011

Compared to its predecessor, the implementation of the GSP scheme for the years2009-2011 did not introduce any fundamental changes. The only adjustments werethose resulting from the in-built graduation mechanism, which applies when theaverage imports of a section from a country exceeds 15% of GSP imports of the sameproducts from all other GSP beneficiary countries over a period of three years. Thus,the current scheme introduced de-graduation (i.e. restoring preferences) of sixcountries/product sections (in the case of Algeria, India, Indonesia, Russia, SouthAfrica and Thailand) and only one graduation (Vietnam/footwear). Due to the de-graduations and other technical changes the additional preferences were worth 160million Euros per year. The product coverage of the GSP varies according to the typeof the arrangement. Of the 9568 existing tariff lines under the Community'sCombined Nomenclature (2405 carrying a zero MFN tariff rate) the general GSParrangement covers 6244 tariff lines, the GSP+ 6336 tariff lines, and the EBA coversthe broadest range of products 7140 tariff lines3.

The current scheme is operating on the legal basis of Council Regulation No.732/2008 of 22 July 2008, for a period of three years and, as mentioned above, it isdue to expire on December 31, 2011. In the absence of the new regulation, mostimports from the developing countries would revert to their MFN treatment underthe EU's tariff schedules at the WTO, which means their tariff preferences in the EUmarket would disappear. Only countries covered by the Everything But Arms scheme(EBA), signed for an unlimited period of time, would keep their preferentialtreatment. As the expiry date is drawing closer, the shape of the new GSP regulationis becoming a more widely discussed issue. Whether the scheme will follow in theprogressive direction of extending and deepening preferences, as was the case since2001, or whether they will rather be limited as result of the strained economiccircumstances from the current economic crisis remains to be seen.

The duration of the legislative process in the case of the current GSP revision couldbe longer than usual due to the enhanced role of the European Parliamentconcerning the ordinary legislative procedure applicable to the common commercialpolicy since the entry into force of the Lisbon Treaty. The European Commission hassignaled its intention to propose a time-limited extension of the current Regulationat first while the work on the new Regulation progresses.

The shape of the previous, current, and the next GSP schemes are a part of a larger,10-year plan for 2006-2015 that seeks to provide the scheme with more stability,predictability, and coherence. Although this document sets objectives andinstruments for the whole period, it does not constitute a guarantee that the schemewould not be altered in a direction of limiting preferences. Thus, each review of theGSP creates the chance, or risk, of major alteration. In order to consider how the GSPscheme might be revised under crisis-era conditions and when there is above-trendlevels of protectionism, it is useful to turn to prior contemporary experience to see ifany lessons can be discerned. With this in mind, we know turn to the GSP revisionundertaken during the sharp economic slowdown of the 1980s.

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3 Generalized System of Preferences, Notification by the European Communities, Addendum, March 3,2009.

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4 The EU GSP during the global economic slowdown of the1980s

The 1980s saw many countries turn inward, reversing many reforms. This followed avery sharp global economic downturn in 1980-1, itself a consequence of attempts to"squeeze inflation out of the system" by the adoption of restrictive monetary policiesin the United States and the United Kingdom, higher worldwide interest rates, andprevious oil price surges. Such was the level of concern among trade diplomats at thetime that the GATT secretariat was charged with monitoring developments, and theirreports make for sorry reading. Here, however, our concern is that the effects of theEU GSP regime were directly or indirectly affected by discriminatory measures takenby European governments or by the European Commission.

The first GSP scheme applied from 1971 to 1980 and was marked by moderateutilization rates of between 55% to 60% and a very limited number of recipients,since just 13 countries accounted for approximately 70% of goods imported atpreferential rates. Although criticisms could be applied, the scheme progressedtowards improved preferential access with each of its periodical reviews in the 1970s.The second scheme, operating from 1980 to 1985, brought about a simplificationthrough the introduction of a single list of sensitive and non-sensitive products,removing quotas on imports under GSP, and introducing the differentiation (ormodulation) of the scheme, which aimed at making the scheme more selective to thelevel of development and competitiveness of the beneficiaries. However, it was thesharp global recession of the 1980s that resulted in both a slowing down in the pacefor GSP extensions and a significant increase of the certain restrictive features of theGSP regime. The latter therefore countered the liberalizing momentum that existedwhen the second GSP scheme came into force. The remainder of this section describessome of the high profile restrictive changes in the EU GSP regime introduced in the1980s.

4.1 Restrictions on preference extension on the grounds of economic difficulty

Since the inception of the GSP by the EU in 1971, the scheme was supposed to beextended over time to cover more products, gradually remove quotas. and extendpreference margins. However, already before the end of the first GSP phase 1971-1980, a document titled European Communities Scheme of Generalized Preferencescirculated in March 1979, states "In a climate of growing industrial protectionism theCommunity's maintenance of the GSP is of particular importance. However, thesituation in a number of major industries is such that a prudent approach must beadopted"4 and "For certain sectors where the European Community is going throughserious difficulties, it has not been possible to apply any increase [in the volume ofthe offer on duty free imports] in 1979"5.

Withdrawals of the commitment to extend and deepen preferences followed. The

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4 The European Communities Scheme of Generalized Preferences, Europe Information, External Relations,No. 18/79, March 1979.

5 Op. cit.

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extension of GSP product coverage such as, for example, to cover basmati rice,proposed originally by the European Commission in 1980 to be included in thescheme for 1981, were not in the end adopted. Granting preferential access for thisproduct would have had large developmental consequences for some of the leastdeveloped GSP beneficiaries, but the move was strongly opposed by some memberstates. Similarly, in the spirit of deepening preferences, the European Commissionsubmission for GSP in 1982 proposed a general across-the-board increase of 10% forquotas, but after opposition from some member states a smaller or zero rate increasewas adopted for sectors in economic difficulty. These covered, amongst others, theECSC products, shoes, and certain chemical products. The move to protect thesesectors was criticized for being overly protective and the Committee on Economicand Monetary Affairs of the European Parliament called it a restrictive policy, voicingdoubts about its validity.6

4.2 Increase in the number of "sensitive" goods

Until 1980 the products for which preferential access was less generous due to their"sensitivity" were classified into four categories. Only non-sensitive products receivedfull preferences and towards the end of the first EU GSP regime the share of sensitiveproducts enjoying preferential treatment amounted to only 3-4% of the Communityimports. The 1980 renegotiation, which sought to simplify the system by dividing allproducts into just two categories, sensitive and non-sensitive, in fact largely increasedthe number of sensitive products7. Strict controls were imposed on imports ofsensitive products and occasionally the Commission subjected the imports of someof the products from this list to additional monitoring and import conditions. In1984 the Commission imposed such stricter controls on preferential imports of threeproducts already on the list of sensitive products -- carbonates of sodium, gelatin, andtableware of porcelain - specifically motivating this move with reference to thedeteriorating economic situation.

4.3 Oil case and the 20% share in EU imports rule

In 1986 the EU considered excluding Saudi and Libyan petrochemical exportscompletely from the GSP8. This was in fact achieved by introducing adjustments tothe GSP eligibility conditions in 1988, specifically by adopting new utilisation rulesfor the GSP. Developing countries which supply more than 20% of any one productimported by the EU were to be automatically removed from the system of preferences.In fact the new utilisation rules resulted in the removal of preferences for Saudi

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6 Committee on Economic and Monetary Affairs, European Parliament Working Documents, 1981-1982,Report on the proposals from the Commission of the European Communities to the Council (Doc-1-450/81) for regulations fixing the Community's scheme of generalized preferences for the period1982-1985 and opening the scheme applicable in 1982, Document No. 1-641/81, November 11, 1981.

7 Page, S.A.B. (1981), The Revival of Protectionism and its Consequences for Europe, Journal of CommonMarket Studies, Vol. XX, No. 1, September 1981. In 1984 there were 128 sensitive products, 64 of themindustrial.

8 EC Agrees on Plan for Automatic Saudi, Libyan Petchem Exports over quota, Platt's Oilgram News,November 26, 1986.

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Arabia. According to an account of remarks made by an EC official in 1998 "Byachieving such impressive performance, a country shows that it no longer needs theGSP to maintain its competitive edge on EU markets9". With this decision of theEuropean Commission, duty-free quotas for Saudi petrochemical exports were halvedby 1989 and completely excluded from the GSP in 1990.

4.4 First GSP benefits suspension case

The 1980s also marked the first time that the EU suspended benefits under the GSP .In 1987 it withdrew the GSP preferences for South Korea because the government inSouth Korea refused to give EU exporters the same legal protection againstcounterfeiting as their U.S. counterparts had received10. The GSP suspension measurebecame effective on January 1, 1988 and adversely affected most of the major SouthKorean export products to the EU, such as textiles, microwave ovens, and electronicitems.

4.5 GSP differentiation/modulation

Another development in the GSP scheme during the recession in the 1980s weremoves to restrict the number of beneficiaries. The argument of limiting preferencesto those beneficiary countries gaining economic strength was first made in mid-1970s. The European Commission stated in its Communication to the Council of1975 that there was a need to review the eligibility criteria to account for suchchanges in the economic strength of GSP beneficiaries11. The economic crisis in theearly 1980s contributed to a faster hardening of views on this issue. When theproposals for the second GSP scheme were being drawn up, the EuropeanCommission intended to divide beneficiary countries into three categories dependingon their level of development12:

• the newly industrialized countries, whose preferences would be restricted due totheir aggressive export policies and in order to improve the preferentialadvantage for the other, less developed beneficiaries;

• the least developed countries (LDCs) whose preferences will be continued andfurther improved;

• and the developing countries that fall in neither of these categories, for whomthe preferences will be continued and extended but to a lesser extent than forLDCs.

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9 International EU Ministers Meeting Nov. 21 May End Saudi Preferential Trade Status, Platt's OilgramNews, November 21, 1988.

10 EC Suspends Benefits For Korean Exports, Special to The Wall Street Journal, 21.12.1987, The Wall StreetJournal.

11 The Future Development of the European Community's Generalized Tariff Preferences, Communicationby the Commission to the Council, COM(75) 17 final, February 3, 1975.

12 Guidelines for the European Community's Schema of Generalized Tariff Preferences for the Post-1980Period, Commission Communication to the Council, COM (80) 104 final, March 7, 1980.

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Although the Commission stated that the changes proposed were not supposed toexclude some highly competitive countries or protect some sensitive products, it alsoadmitted that the new rules were made to exercise selective control over exports ofsensitive industrial products originating in certain beneficiary countries.

The list of beneficiaries of the GSP is based on "self selection" as the definition ofthe developing countries for the purpose of GSP eligibility was countries equated withthe list of the Group 77 in UNCTAD. The applications from other countries wereselected on their merits.13 The removal by the EU of their benefits from "newlyindustrialised countries" was motivated by the fact that by differentiating the accessto preferences by country, a better allocation of the preferential advantages could beachieved as the least developed countries would receive more a favorable targetedoffer of preferences. As can be seen in the 1983 report of the European Parliament onthe proposals from the Commission of the European Communities to the Council,the Parliament "supports the differentiation applied within the system, wherebycertain restrictions are imposed on the most competitive supplier countries in orderto allow other countries, especially the least developed, better access to theCommunity market14". Consequently, Hong Kong, South Korea, and Macao wereexcluded from the improvements of preferential access in the GSP 1984.

Additionally, global quotas and ceilings were replaced by individual preferentialceilings for each country at the product level to prevent single countries fromaccounting for a large part of the total product imported. This move again constituteda withdrawal of certain preferences on a product/country basis, principally for themore developed remaining beneficiaries15,16. In 1985 the European Commissionsuggested for the year 1986 twenty-six product/country exclusions (twelve productsin the case of Hong Kong, ten South Korea, one in the case of Brazil and one in thecase of Singapore.)

4.6 Lessons for GSP review from the 1980s.

The reversal of liberalisation and the protectionist elements that were incorporatedinto the Generalized System of Preferences in the 1980s were induced and acceleratedby two specific circumstances: the global economic slowdown in the early 1980s andthe upcoming expiry of the first GSP scheme. At the beginning of the 1980s it hasbecome clear that no economic recovery could be expected for some time,postponing further the recovery from the sharp downturn due to the oil shock of thelate 1970s. As support for further GSP extension deteriorated among the memberstates in the face of economic difficulties and the expiry of the first GSP scheme

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13 Romanian and Chinese applications were accepted and the Bulgarian one rejected. In 1985 the GSPcovered 128 countries and 22 dependent territories additionally included in the scheme.

14 Report on the proposals from the Commission of the European Communities to the Council (Doc. 1-635/83 - COM (83) 441 final) for regulations fixing the Community's generalized system of preferencesscheme for 1984, European Parliament Working Documents 1983-84, Document 1-1007/83, November14, 1983.

15 Opinion of the Committee on External Economic Relations on the Commission proposal fixing theCommunity's generalized tariff preferences scheme for 1984 (Doc. COM (83) 441 final - Doc 1-635/83).

16 Review of the European Community's Generalized Tariff Preferences Scheme, Communication of theCommission to the Council, COM (85)203 final, May 6, 1985.

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approached, it was seen and used as a chance to balance several improvements in theoperation of the scheme with a protectionist slide towards limiting the preferencesoffered especially to those countries that were its largest and most successful users.The parallels to circumstances today are very strong, where both considerations applyconsiderable force.

5 EC GSP and Sub-Saharan Africa

The preferences granted by the EU are said by many to play a central role inconditioning Sub-Saharan African countries' access to European markets. However itis important to appreciate that these countries do not form a homogeneous group ofbeneficiaries. Under the current GSP Regulation 2009-2011, 33 of the 48 Sub-SaharanAfrican countries enjoy the Everything But Arms treatment (furthermore referred toas the SSA EBA group), while the 15 more developed countries (Botswana, Coted'Ivoire, Congo, Cameroon, Gabon, Ghana, Kenya, Zimbabwe, South Africa,Swaziland, Seychelles, Namibia, Nigeria, Mayotte and Mauritius) fall under thegeneral GSP (the SSA GSP group). None of the Sub-Saharan African countries iseligible for extended preferences of GSP+. Thus, any changes to the GSP schemeinfluences the 15 SSA countries directly and the remaining 33 indirectly by changingthe relative competitiveness of the preferences offered under EBA. The central pointhere is the relative benefit of one type of preferences must be compared to thegenerosity of other preference regimes. Moreover, the unlimited duration of the EBAscheme is an advantage in comparison to the general GSP, as it provides the EUimporters from the 33 SSA countries with more stability and predictability, whichincreases the attractiveness of sourcing goods from SSA EBA beneficiaries. The generalGSP involves more uncertainty for its Sub-Saharan African beneficiaries as thepreferences can be changed unilaterally by the European Commission without notice.

The years 2000-2007 had been a period of remarkable optimism regarding theprospects for economic growth and poverty reduction in Sub-Saharan Africa (SSA),undermined in 2008 and on by the global financial and economic crisis. Although toa lesser degree integrated in the global financial infrastructure than most of its tradingpartners, the crisis has had a strong negative impact on SSA primarily due torecessions in the importing countries and the resulting decrease in imports andcollapse of commodity prices. Downward trends in foreign direct investment andmigrant worker remittances were also observed17. The International Monetary Fund(IMF) predicted in 2009 that the growth rate for SSA would slow down to 1% fromrecent pre-crisis levels of 6% and then rebound again to 4% in 2010. Many analystspoint to the strong resilience of African countries during the crisis in terms ofeconomic growth rates as compared with the rest of the world and highlight the fastrecovery observed already at the beginning of 2010. Although this is true, the impactof the crisis on Africa's exports was strong and some aspects of the crisis may havelonger term effects. This is worrisome as many African countries need high economicgrowth rates to compensate for population increases if their populations are evergoing to escape from poverty.

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17 Osakwe, Patrick, N. (2008), Sub-Saharan Africa and the global financial crisis, Trade NegotiationsInsights, Volume 7, Number 10, December 2008.

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EU's imports from both groups of the Sub-Saharan African countries fellsignificantly during the recent crisis, see Figure 1. The decrease in imports levelbetween October 2008 and January 2009, that is in the first three months of theglobal economic downturn, was stronger for the Sub-Saharan countries covered byboth schemes than for the whole of EU's imports (Figure 2). Before the crisis, exportof both groups to the EU were gradually increasing over 2006, 2007, and most of2008, but after the crisis hit, SSA GSP group's exports to the EU fell below its early2006 level and did not recover over most of 2009. The SSA EBA group's exports to theEU were growing at an even faster pace before and then experienced an even strongerdecrease, although a little more spread out over time. In general EU's imports fromSub-Saharan African countries exhibit a higher volatility than EU's total imports withhigher growth rates during times of economic prosperity and larger slump during thedownturns and crises (Figures 3 and 4).

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Source: Author's own calculation on the basis of Eurostat data.

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6. Utilisation of EU preferences by Sub-Saharan African countries

The evaluation of effectiveness of EU preferences raises several methodologicaldifficulties. First, there are a number of overlapping preferential agreements grantedto the Sub-Saharan African countries such as the GSP, EBA, and the CotonouPartnership Agreement, currently in the process of being replaced by EconomicPartnership Agreements. Secondly, the statutory rate of protection, i.e. preferentialaccess available to exporters, does not always reflect the effective level of protection,which includes also technical and administrative requirements, SPS and TBTs in placeas well as the rules of origin. The utilisation rates reported here have been calculatedon the basis of Eurostat dataset for EU imports by corresponding tariff regime, whichreveals a country's eligibility for preferential or MFN market access and providesinformation on regime under which the products were in fact imported18.

Overall, in terms of utilisation rates, Sub-Saharan African countries under EBA aremaking better use of EU preferences than those under the general GSP regime. Thiscan be due to the higher preferential margin under EBA, which makes it moreworthwhile to fulfill all the requirements necessary for obtaining preferences ratherthan pay the MFN tariff. Although preference utilisation has been growing steadilyover 2005-2007, 2008 saw a slight decrease for both groups (see Figure 5).

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Figure 4 Volatility of EU imports from the two groups of Sub-Saharan African countries andtotal EU imports (2006-2009, % change of three months moving average).

Source: Author's own calculation on the basis of Eurostat data.

18 The Eurostat dataset "Adjusted EU-EXTRA Imports by tariff regime" provides only information onpreferential or non-preferential access and not on the exact import regime (GSP, GSP+ or EBA). Sincethese schemes differ in the level of preferential access offered and/or in country coverage it is possibleto assume that Sub-Saharan African countries go for the most generous preferential scheme they areeligible for.

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Significant differences are observed at section level of the Harmonised System inutilisation rates between the two groups. Although the countries under EBA haveoverall higher utilisation rates, their exports are concentrated in fewer products.Thus, SSA EBA countries exhibit slightly higher preference utilisation rates only for afew categories, all of them primary products such as "Animal and animal products","Vegetable products", "Foodstuffs" and "Metals". In "Wood and wood products" as wellas "Textiles" both groups of countries use more than 90% of the preferences. However,under all other product sections, including those more advanced like "Plastics and

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75%80%85%90%95%

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Figure 5 Utilisation rates of EU preferences by two groups of Sub-Saharan countries (2005-2008).

Source: Author's own calculation on the basis of Eurostat data.

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Figure 6 Average utilisation rates of EU preferences by two groups of Sub-Saharan Africancountries (2005-2008).

Source: Author's own calculation on the basis of Eurostat data.

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rubbers","Transportation" and especially "Machinery and electrical" countries underthe general GSP take a clear lead in preferences utilisation (Figure 6). It is apparentthat the utilisation rates are correlated with the level of MFN tariff in the EU and arehigher in sectors where the EU's trade is traditionally less liberalised, such asagricultural or textile products.

For many sectors, especially those with high preference utilisation, there has notbeen any significant change in the level of utilisation between 2005 and 2008.However, in some other sectors, with lower utilisation rates, SSA EBA countries largelyincreased them, which probably shows a development of the correspondingmanufacturing industry, stronger contractual relations with EU importer, betterresults of Aid for Trade initiative, further potential export diversification, andresulting investment in fulfilling preferential market access conditions, such asstandards or organising production in a way so as to secure originating status. Thiswas the case for "Chemical and allied industries", where the SSA EBA countriesincreased their preference utilization by almost threefold, by 268.1% between 2005and 2008, "Machinery and electrical" (56.1%), "Plastic and rubbers" (33.2%) (Figure 7).No such large changes were observed for the countries under GSP, with somemoderate growth of utilisation rates in chemical and machinery sectors. Overall, EBAcountries seem to utilise their preferences better than the countries under the GSP,although the former does so in fewer sectors. The volatility and variance of utilisation

Reform of the EU GSP Regime and its Potential Impact on Sub-Saharan Africa

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45.8%

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Figure 7 Percentage change in utilisation rates of EU preferences by two groups of Sub-Saharan African countries between 2008 and 2005.

Source: Author's own calculation on the basis of Eurostat data.

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rates is also much higher, with both large increases as significant decreases. Overall,it appears that many more changes are happening in the exporting sector of the EBAbeneficiaries than those under the GSP.

Important insights into the potential problems utilising existing preferences weregiven by Eurocommerce/Business Europe. This group represents European businessand stresses the importance of making the GSP not only more attractive to exportersfrom beneficiary countries, but most of all to EU importers that in fact decide whereto import from. Major outstanding issues, according to this group, involve the lack ofstability in the scheme, unanticipated changes, such as annual graduation orwithdrawal, that cannot be dealt with on a short-term basis without prior notice,three different incentive regimes that importers need to manage, and lateconsultations for each GSP revision which result in the details of the next schemebeing known much less than a year before implementation. These factors can be toblame for lowering the potential for exports and utilisation rates' growth under theEU's general GSP, less so under the more stable EBA.

7 Potential GSP reform options and impact on the Sub-Saharan

African countries

A number of potential reform options can be found in the literature on the EU GSPregime, European Commission documents, and the contributions to the "EU TradePolicy towards Developing Countries" conference in Brussels on March 16, 2010. Themajority of proposals for the reform can be grouped into the following broadercategories: 1) changes in graduation and eligibility rules to exclude high incomedeveloping countries so as to better concentrate preferences on the LDCs, 2) a slightlyextended product coverage, 3) measures to strengthen the supply side of exporters 4)changes in the list of sensitive/non-sensitive products and 5) some new proposals,such as import subsidies for products originating from the GSP countries. Otherproposals, such as agricultural liberalisation in the EU and extending the duration ofthe GSP regulations, can be identified but due to their unlikely adoption we leavethem outside of the scope of this discussion. It is also on purpose that we leave asidea discussion of the separate but complex matter of the GSP rules of origin reform,although it is often contended that such rules are an important and influentialelement of the GSP scheme performance. Let us turn now to the discussion of theimpact of each of these proposals on the Sub-Saharan African countries and, finally amore detailed evaluation of changes to eligibility rules.

As neither eligibility criteria nor graduation criteria were explicitly established inthe UNCTAD proposal for the GSP or the Enabling Clause of the WTO, they remainlargely at the discretion of the countries granting preferences. This leaves open theopportunity for unilateral changes to the list of GSP beneficiaries and potentialmanipulation of the schemes in response to economic and political difficulties, justas it happened in the 1980s. The statement by Mr Vital Moreira, Chair of theCommittee on International Trade of the European Parliament on the occasion of theopening of consultation for the new GSP scheme is instructive in this regard:

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"GSP must be revised to take into account the changing landscape in thedeveloping world" and that "we consider that the GSP schemes continue to bemost helpful tools but they must target the developing countries that most needthem. The list of beneficiary countries should reflect the actual economic situationof developing countries and the graduation among them19".

Also Karel de Gucht in his opening address cited above mentioned that "major globalplayers in international trade with very significant and wide-ranging exports to theEU" and whether it is right that the preferences should continue to be available tothem. Potential exclusion of certain higher-income developing countries from thecurrent GSP coverage (possibly through a change of graduation criteria) is thusbecoming an actively discussed policy option. The apparent rationale here is thatpreferences for these countries have already achieved the goal of increasing theirinvolvement in trade and the high level of diversification of their exports and arethus no longer necessary. Removal of preferences offered to the high-incomedeveloping countries should also serve to concentrate the EU's resources on other GSPbeneficiaries in two ways - by deepening the competitive preference margins byfreeing up resources that can be used for export capacity building. On the other hand,although it is difficult to support this hypothesis with documentary evidence of theEuropean Commission's intentions, the move to exclude countries such as China andRussia from the preferences can also be influenced by the many protectionistmeasures introduced by these countries during the current economic and financialcrisis (and documented in the Global Trade Alert database). Thus, the exclusion herewould be a form of retaliation.

Second, with respect to product coverage changes, if it was limited for the generalGSP scheme, the direct impact in Sub-Saharan Africa would be on the 15 GSP-coveredcountries. But it would also mean improved relative market access for EBAbeneficiaries as their preferential margins versus the preferential margins enjoyed byother beneficiaries would increase. However, if the coverage of GSP is extended, asdiscussed by some researchers,20 the countries eligible for GSP may gain and thoseunder EBA lose in relative terms. However, these changes are not automatic for anyextension or limitation of product coverage - the export structure of the Sub-SaharanAfrican countries to the EU matters and the impact would only exist if changes toproduct coverage concern products that the African countries indeed export to theEU. For the 33 African countries under the EBA there is literally no scope forextending product coverage as the scheme already covers quota-free and duty freeaccess for almost all products (exceptions were in place until 2006 for rice and bananaand until 2009 for sugar). Thus, when speaking about deepening preferences for theleast developed countries in Africa, the only way forward is through channels otherthan product coverage, such as: Aid for Trade, import subsidies, or limitingproduction subsidies in the EU on sensitive products.

Third, there is evidence that EBA and GSP help developing countries increase theirexports but do not contribute much to domestic transformation and export

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19 Statement by Mr Vital Moreira, Chair of the Committee on International Trade of the EuropeanParliament, EU Trade Policy towards Developing Countries conference, Challenges and opportunities forthe next years, Brussels March 16, 2010.

20 Making the GSP fit for the 21st Century, Dr Christopher Stevens, Overseas Development Institute,Presentation at the EU Trade Policy for the Developing countries conference, Brussels, March 16, 2010.Mr. Stevens also sees the problem of the beneficiary competitiveness.

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diversification. Thus, many parties participating in the public consultation on thenew GSP scheme suggested that there is a need to strengthen the link between the EUpreferential market access and trade-related capacity building21 in order to increasethe utilisation rates and, secondly, to support exports by improving the domesticinstitutional and physical infrastructure. Most authors suggest more resources beallocated to the Aid for Trade scheme in order to not only increase the volume ofexports in existing export sectors but to facilitate export diversification. This could bedone by investing in market intelligence services to research the import trends in theEU market, support capacity building in the identified potential sectors, andproviding country specific analyses indentifying constraints to export22.

Fourth, an additional channel of impact of the GSP reform on the Sub-SaharanAfrican countries are changes introduced to the list of sensitive/non-sensitive goodswhich are unique to the EU GSP scheme. Non-sensitive goods enjoy a largerpreference margin than sensitive ones, the latter being also additionally protected byimport restrictions under certain circumstances such as economic difficulty. The listcan be changed arbitrarily by the EU, shifting products between the two categoriesand thus limiting or extending preferences. Capacity building support would alsoinvolve help in complying with high EU standards, TBTs and SPS.

Fifth, there is an innovative proposal to introduce import subsidies for productsoriginating from the GSP countries. The idea was first put forward in a paper byLimão and Olarreaga (2006)23 and discussed again by Michael Gasiorek at the "EUTrade policy towards developing countries" conference in March 2010 as a potentialoption for EU GSP24. This proposal requires careful attention as, in contrast tostrengthening the supply side support, it concentrates on the demand side which assuch has not been receiving support yet in the previous GSP regulations. A largeadvantage of import subsidies over unilateral preferences is that they may helpdiversify exports into sectors where preferential margins are small due to a low levelof EU tariffs. Preferential access in such sectors does not constitute much of anincentive for exporters. The proposal also partly addresses the issues raised by theEuropean importers from Sub-Saharan Africa concerning too much focus of the GSPscheme on the supply side. However, structure for supply side support is in placethrough Aid for Trade scheme and requires only further development of use of thistool, unlike in the case of import subsidies where an entirely new system must bedeveloped and cleared for WTO compatibility. This probably makes itsimplementation a rather lengthy process.

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21 EU GSP Scheme is a key tool for increasing trade of developing countries, especially in the context ofthe global economic crisis, Bonapas Onguglo, Senior Economic Affairs Officer, UNCTAD, Presentationat the EU Trade Policy towards Developing countries conference, Brussels, March 16, 2010.

22 Proposals for EU GSP reform brought up at the conference opening the public consultations (16 March2010) Mid-Term Evaluation of the EU's Generalized System of Preferences, Michael Gasiorek

23 Limão, Nuno and Marcelo Olarreaga (2006), Trade Preferences to Small Developing Countries and theWelfare Costs of Lost Multilateral Liberalization, World Bank Economic Review 2006, 20 (2), pp. 217-240.

24 Proposals for EU GSP reform brought up at the conference opening the public consultations (16 March2010) Mid-Term Evaluation of the EU's Generalized System of Preferences, Michael Gasiorek

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8 Evaluation of the potential impact of changes to GSP eligibilityrules for Sub-Saharan African countries

Limiting the eligibility to GSP treatment was used by the European Commissionduring the period of slow economic growth in the 1980s and, as today's conditionsfor GSP revision largely resemble those earlier times, one cannot dismiss thepossibility that similar contemporary proposals will not gain enough political supportto pass. To assess the implications for Sub-Saharan African countries of the potentialwithdrawal of preferences from the higher-income GSP beneficiaries, such as Brazil,China, India, Indonesia, Russian Federation, Thailand and Viet Nam,25 a good startingpoint is to examine any overlap between the imports structure of the EU from thesecountries and from the Sub-Saharan African countries under the general GSP (SSAGSP group) and EBA (SSA EBA group). Plausibly one might conjecture that the greaterthe overlap, the higher the chance that the withdrawal of preferences comparativelyimproves the value of the preferential access to the EU market for the two SSA groups.

Knowing that the imports of the EU from the SSA countries are concentrated inrelatively few tariff lines, as a first step the top 20 products imported by the EU fromthe two groups of the Sub-Saharan African countries were identified using 6-digittariff lines classified according to the Harmonised System 2002. In total these top 20exports amount to 67.07% of the total imports of the EU from the group of 15 SSAcountries under GSP and to 81.44% in the case of SSA countries under EBA. It comesas no surprise that exports of the EBA group, being the least developed countries, areless diversified than for the SSA GSP group. In both cases however the analyzed top20 products cover a large fraction of their exports to the EU. Table 1 below summariesthe overlap of the Sub-Saharan African countries exports to the EU as compared withtop 100 products exported to the EU by the high-income developing countries at riskof losing the GSP preferential access. These 100 products account for a little morethan 50% of their total exports to the EU.

The overlap between top exports products is classified in four categories (Table 1):overlap between the top 20 exported products by Sub-Saharan Africa and the top 20exported products by the high income developing countries is shaded "black", overlapbetween top 20 African exported products and the top 20-100 export products of thehigh income GSP beneficiaries is shaded "dark gray" and any overlap between the top20 African export products to the EU and any product exported under the GSP by thehigh income beneficiaries outside the top 100 is shaded "light gray". "White" (noshading) refers to no overlap at all or the fact that the given tariff line is not coveredby the GSP regulation at all. As it can be observed from Table 1 most of the top 20products from SSA GSP and SSA EBA groups would be affected in one way on anotherby the withdrawal of preferences from GSP high income beneficiaries.

The direct overlap at the level of top 20 products imported by the EU from Sub-Saharan African countries and the top 20 or top 100 products imported from the highincome developing countries is approximately 40% of import value for the SSA GSPgroup and 58% for the SSA EBA group (Table 2). This is where the largest impact onimproving comparative preferential access under the GSP scheme is to be expected if

Reform of the EU GSP Regime and its Potential Impact on Sub-Saharan Africa

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25 The list of high income developing countries that might lose the preferences was compiled on the basisof suppositions found in literature. It is in no way binding or confirmed by the EU.

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preferences are withdrawn from the high income GSP beneficiaries. However, it mustbe noted that oil products account for a high share of this overlap in export structure.Increasing the competitive position of oil exports does help the current accountbalance of African countries but plays no or a limited role in fostering theirmanufacturing capabilities. If we exclude oil products, the share of imports with thishighest level of impact is reduced to around 15% for both SSA groups. This is not alarge figure, implying that the Sub-Saharan African exporters don't export the verygoods necessary to gain from the elimination or erosion of any preference margins ofthe higher income developing countries that may lose their EU GSP eligibility.

Further potential for the improved access lies in the products exported by highincome developing countries to the EU which are covered by the GSP scheme, buttheir import share places them outside the list of top 100 for which the overlap withthe top export products of the SSA exists. This concerns additional 23.45% of EUimports from the SSA GSP countries and 8.88% of the SSA EBA countries. Only 4%and 13.86 % of SSA GSP and SSA EBA exports to the EU countries respectively (onlythe top 20 products concerned) would not be affected as they are not covered by theGSP scheme anyway and thus no preferences concerning them can be withdrawn.Table 2 summarises these findings.

In order to compare the value of imports from SSA countries with the respectivevalue of imports from those countries that might lose their GSP preferences wecalculated a ratio of EU imports from high income GSP beneficiaries to the value ofimports from the given SSA countries group (imports value calculated as a sum over2005-2008). The results are reported in columns 6 and 12 of Table 1. The higher theratio the smaller the fraction of the EU's imports from the SSA as compared to importsof the same product from the high income developing countries and thus the higherthe potential for gain from the discussed preference withdrawal. If preferences arewithdrawn from its current high income beneficiaries, the potential for improvementof relative preferential status would concern a higher value of exports competingdirectly with the SSA EBA groups' exports than with exports of the SSA GSP group.The ratio of overlapping exports value for all products exported to the EU (i.e. allproducts but those marked white), is about four times larger for the SSA EBA than forthe SSA GSP group (respective ratios 9.34 and 2.62). Partially, this can be explainedby a broader product coverage under EBA and thus a larger fraction of exportscompetes directly with exports of other countries enjoying the GSP same preferences.This means that EBA group will be by far more influenced by an eventual withdrawalof preferences from high income GSP beneficiaries than the GSP group, which is inline with the assumptions of the proposed changes in eligibility rules. Still, given thepaucity of product overlap, the overall impact of any reductions in eligibility of highincome developing countries to the EU GSP regime is not likely to offer manyopportunities for improving the competitiveness of exports of non-oil products fromthe Sub-Saharan African countries.

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488

1440

4734

14

0.32

18

H

2-08

0300

0.

76%

17

7957

6338

20

4115

946

0.11

18

H

2-06

0310

0.

59%

43

5505

809

1327

3605

7 3.

28

19

H2-

0806

10

0.73

%

1704

0619

28

7029

9086

8 0.

41

19

H2-

4403

49

0.56

%

4126

4270

2 70

6969

6 58

.37

20

H2-

7110

31

0.71

%

1662

6039

62

6926

8446

7 0.

42

20

H2-

8802

40

0.55

%

4079

1322

9 27

6742

1902

0.

15

T

otal

Top

20

67

.07%

To

tal T

op 2

0 81

.44%

Bla

ck a

nd d

ark

grey

9239

7890

255

3785

8461

7798

4.

10

“B

lack

and

dar

k gr

ey”

4331

2886

305

3863

1766

7700

8

.92

Ligh

t gre

y”

5468

1800

007

6645

9047

33

0.12

“Lig

ht g

rey”

65

5107

0859

79

5718

3549

4

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.15

A

ll no

t “w

hite

1470

7969

0262

38

5230

5225

31

2.62

All

not “

whi

te“

4986

3957

164

4658

8950

3194

9

.34

x

Ove

rlap

betw

een

top-

20 p

rodu

cts o

f the

hig

h in

com

e co

untri

es a

nd a

ny o

f the

SSA

cou

ntrie

s (un

der E

BA

or g

ener

al G

SP)

x

Ove

rlap

betw

een

top

20-1

00 p

rodu

cts o

f the

hig

h in

com

e co

untri

es a

nd to

p 20

of t

he S

SA c

ount

ries (

unde

r EB

A o

r gen

eral

GSP

) x

A

ny o

verla

p bu

t no

gene

ral G

SP p

refe

renc

es o

n th

e ce

rtain

pro

duct

x

O

verla

p be

twee

n to

p 20

pro

duct

s im

porte

d by

the

EU fr

om S

SA a

nd p

rodu

cts e

xpor

ted

from

hig

h in

com

e de

velo

ping

cou

ntrie

s (no

t top

100

)

Tabl

e 1

Top

20 p

rodu

cts

impo

rted

by

the

EU f

rom

Sub

-Sah

aran

Afr

ican

cou

ntri

es (

unde

r G

SP a

nd E

BA)

and

fro

m t

he h

igh

inco

me

GSP

bene

ficia

ries

and

type

of o

verl

ap b

etw

een

them

(HS

2002

, 4-d

igit,

bas

ed o

n su

m o

f tra

de v

alue

for

the

peri

od 2

005-

2008

).

Page 158: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

Africa Resists the Protectionist Temptation: The 5th GTA Report

132

Tabl

e 2

Type

of o

verl

ap b

etw

een

EU im

port

s fr

om S

ub-S

ahar

an A

fric

an c

ount

ries

und

er E

BA o

r G

SP a

nd th

e hi

gh in

com

e G

SP b

enef

icia

ries

at H

S6-

digi

t

Ove

rlap

type

O

verl

ap d

escr

iptio

nTh

e %

EU

impo

rts

from

Sub-

Saha

ran

Afr

ican

Su

b-Sa

hara

n A

fric

an

(col

our)

Sub-

Saha

ran

Afr

ican

cou

ntri

es w

here

co

untr

ies

unde

r G

SPco

untr

ies

unde

r EB

Ath

e el

imin

atio

n of

pre

fere

nces

for

high

inco

me

GSP

ben

efic

iari

es w

ould

res

ult i

n:

% o

f "bl

ack

and

dark

"B

lack

or

dark

gra

y": w

here

ther

e is

an

over

lap

betw

een

st

rong

est i

ncre

ase

of th

e co

mpe

titiv

e

39.6

3%58

.70%

gray

" pr

oduc

ts1)

top

20 (b

lack

) and

top

100

(dar

k gr

ey) p

rodu

cts

pref

eren

ce m

argi

n (o

il pr

oduc

ts in

clud

ed)

expo

rted

to th

e EU

by

high

inco

me

deve

lopi

ng c

ount

ries

cove

red

by G

SP

and

2) t

op 2

0 pr

oduc

ts e

xpor

ted

bySS

A c

ount

ries

und

er E

BA o

r G

SP to

the

EU%

of "

light

gra

y"

"Lig

ht g

rey"

: the

re is

an

over

lap

betw

een

1) p

rodu

cts

incr

ease

of t

he c

ompe

titiv

e pr

efer

ence

mar

gin

23.4

5%8.

88%

prod

ucts

expo

rted

by

high

inco

me

deve

lopi

ng c

ount

ries

to th

e EU

in a

less

sig

nific

ant w

ayco

vere

d by

G

SP, w

hich

are

not

in th

e to

p 10

0 ex

port

prod

ucts

and

2) t

op 2

0 pr

oduc

ts e

xpor

ted

by S

SAco

untr

ies

unde

r EB

A o

r G

SP to

the

EU%

of "

whi

te"

"Whi

te":

top

20 S

SA e

xpor

t pro

duct

s to

the

EU w

hich

no im

pact

3.99

%13

.86%

prod

ucts

are

not c

over

ed b

y th

e ge

nera

l GSP

(whi

ch m

eans

hig

hin

com

e de

velo

ping

cou

ntri

es a

nyw

ay d

o no

t enj

oy a

nypr

efer

ence

s or

they

do

not e

xpor

t it a

t all)

% o

f "bl

ack

and

"B

lack

or

dark

gra

y": s

ee "

blac

k or

dar

k gr

ay"

prod

ucts

, st

rong

est i

ncre

ase

of th

e co

mpe

titiv

e

15.4

0%15

.07%

dark

gre

y" p

rodu

cts

oil p

rodu

cts

excl

uded

pref

eren

ce m

argi

n (o

il pr

oduc

ts e

xclu

ded)

min

us o

il pr

oduc

ts

Page 159: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

9 Concluding remarks.

Experience from the 1980s shows that when an EU GSP revision coincides with apronounced economic downturn or prolonged slow growth, protectionistconsiderations can influence the reform of the preferential market access scheme.This suggests that the forthcoming revision of the EU GSP scheme under essentiallysimilar economic conditions might bear significant risks for certain developingcountries. Candidates for removal from the EU GSP regime are the higher incomedeveloping countries, rather than the Sub-Saharan African countries. Overall, for thelatter, the EU preferences have been functioning well. Sub-Saharan African countriesattain high utilisation rates and a sustained increase in export value to the EU market,although these gains are limited to relatively few sectors suggesting little progresstowards export diversification. Sub-Saharan African countries' exports to the EU were,however, reduced considerably during the recent global economic crisis and restoringtheir values to pre-crisis levels will take a while. This is where improved preferencescould help, by their deepening for African countries under a reformed general GSPand by other means, such as technical assistance, for African countries eligible forEBA.

Does Sub-Saharan Africa have much to fear from the forthcoming revision of theEU GSP scheme? There are a large number of proposals being made during the currentrevision of the EU GSP regime and care must be taken that the more protectionist innature are not adopted. The most likely development--changes in the eligibilitycriteria, although motivated by the concentration of preferences on low incomedeveloping countries, would widen the differences in treatment across developingcountries. However, as shown here, the overlap between the exports structure to theEU of SSA countries and those higher income developing countries likely to lose theirEU GSP preferences is (at the product level) relatively low. Consequently, what higherincome developing countries might lose in terms of preferential access to the EU isunlikely to be offset by a substantial gain in relative competitiveness and exportsfrom Sub-Saharan African countries.

References

"EC Agrees on Plan for Automatic Saudi, Libyan Petchem Exports over quota," Platt'sOilgram News, November 26, 1986.

"EC Suspends Benefits For Korean Exports", Special to The Wall Street Journal,21.12.1987, The Wall Street Journal.

"Guidelines for the European Community's Schema of Generalized Tariff Preferencesfor the Post-1980 Period", Commission Communication to the Council, COM (80)104 final, March 7, 1980.

"International EU Ministers Meeting Nov. 21 May End Saudi Preferential TradeStatus", Platt's Oilgram News, November 21, 1988.

"Making the GSP fit for the 21st Century", Dr Christopher Stevens, OverseasDevelopment Institute, Presentation at the Conference on the EU trade policytowards Developing Countries, Brussels, March 16, 2010.

"Mid-Term Evaluation of the EU's Generalized System of Preferences", Presentation of

Reform of the EU GSP Regime and its Potential Impact on Sub-Saharan Africa

133

Page 160: Africa Resists the Protectionist Temptation The 5th GTA Report A Focus on Sub-Saharan Africa

Michael Gasiorek, Conference on the EU trade policy towards DevelopingCountries, Brussels, March 16, 2010.

"Opinion of the Committee on External Economic Relations on the Commissionproposal fixing the Community's generalized tariff preferences scheme for 1984",COM (83) 441 final - Doc 1-635/83.

"Report on the proposals from the Commission of the European Communities to theCouncil (Doc-1-450/81) for regulations fixing the Community's scheme ofgeneralized preferences for the period 1982-1985 and opening the schemeapplicable in 1982", Committee on Economic and Monetary Affairs, EuropeanParliament Working Documents, 1981-1982, Document No. 1-641/81, November11, 1981.

"Report on the proposals from the Commission of the European Communities to theCouncil (Doc. 1-635/83 - COM (83) 441 final) for regulations fixing theCommunity's generalized system of preferences scheme for 1984", EuropeanParliament Working Documents 1983-84, Document 1-1007/83, November 14,1983.

"Review of the European Community's Generalized Tariff Preferences Scheme",Communication of the Commission to the Council, COM (85)203 final, May 6,1985.

"The European Communities Scheme of Generalized Preferences", EuropeInformation, External Relations, No. 18/79, March 1979.

"The Future Development of the European Community's Generalized TariffPreferences", Communication by the Commission to the Council, COM(75) 17final, February 3, 1975.

Limão, Nuno and Marcelo Olarreaga (2006), "Trade Preferences to Small DevelopingCountries and the Welfare Costs of Lost Multilateral Liberalization", World BankEconomic Review 2006, 20 (2), pp. 217-240.

Osakwe, Patrick, N. (2008), "Sub-Saharan Africa and the global financial crisis", TradeNegotiations Insights, Volume 7, Number 10, December 2008.

Page, S.A.B. (1981), "The Revival of Protectionism and its Consequences for Europe",Journal of Common Market Studies, Vol. XX, No. 1, September 1981.

Presentation of Bonapas Onguglo, Senior Economic Affairs Officer, UNCTAD,Conference on the EU trade policy towards Developing Countries, Brussels, March16, 2010.

The opening address of Karel de Gucht, European Commissioner for Trade,Conference on the EU trade policy towards Developing Countries, Brussels, March16, 2010.

The statement by Mr Vital Moreira, Chair of the Committee on International Tradeof the European Parliament, Conference on the EU trade policy towardsDeveloping Countries, Brussels, March 16, 2010.

About the author

Malwina Nowakowska is a member of the Global Trade Alert team at the SwissInstitute for International Economics and Applied Economic Research, University ofSt. Gallen, Switzerland. She is a doctoral student in the Department of Economics atthe same university.

Africa Resists the Protectionist Temptation: The 5th GTA Report

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Appendix

Table A.1 EU preference utilisation rates for two groups of Sub-Saharan African countries at HSsection level (2008 and % change 2005-2008).

SSA GSP SSA EBA2008 % Change 2008 % Change

2005-2008 2005-2008

Animal and animal products 88.6% -7.5% 98.3% 2.9%Vegetable products 90.7% 5.9% 97.7% 4.6%Foodstuffs 92.0% 5.2% 88.8% -5.6%Mineral products 73.8% -4.1% 44.8% -35.8%Chemical and allied industries 80.5% 25.7% 99.3% 268.1%Plastics and rubbers 85.8% 0.4% 33.1% 33.2%Raw hides, skins, leather, furs 87.0% 0.6% 90.6% 6.2%Wood and wood products 97.1% 1.8% 93.6% -1.6%Textiles 93.8% -0.3% 96.2% 3.7%Footwear and headgear 68.5% 0.5% 95.0% 8.4%Stone and glass 84.3% 0.4% 79.9% -3.5%Metals 96.9% 8.3% 99.4% 27.2%Machinery and electrical 91.3% 21.9% 4.8% 56.1%Transportation 76.6% 14.0% 4.4% -84.6%Miscellaneous 84.2% 1.8% 44.3% 45.8%Total 90.3% 7.1% 92.1% 6.8%

Reform of the EU GSP Regime and its Potential Impact on Sub-Saharan Africa

135

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Section 3 Country-by-Country Reports

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139

AANNGG

OOLLAA

Table 1 Foreign state measures affecting Angola’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Angola’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions

Total number of measures affecting Angola’s 22 21commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Angola’s 5 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Angola’s commercial interests or(ii) that have been announced but not implemented 8 8and which almost certainly discriminateagainst Angola’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 9 9against Angola’s interests [3]

Total number of implemented measures affecting 19 18Angola’s commercial interests

Total number of pending foreign measures likely to affect 3 3Angola’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Angola’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 6 6that harm Angola’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Angola" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

ANGOLA

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140

AANNGG

OOLLAA

Table 2 Angola’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Angola’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions

Total number of Angola’s measures affecting other 2 1jurisdictions’ commercial interests

Total number of Angola’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Angola’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Angola’s measures that have been implemented and which almost certainly discriminate 1 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Angola that harm foreign commerical 15 15interestsTotal number of 2-digit sectors affected by measures implemented by Angola that harm foreign commerical 2 2interests

Total number of trading partners affected by measures 7 7implemented by Angola that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Angola" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Country-by-Country Reports

141

AANNGG

OOLLAA

Table 3 Foreign jurisdictions implementing measures affecting Angola's commercial interests

Foreign jurisdictions implementing measures Number of measures

Argentina 3India 2Indonesia 1Portugal 1Republic of Korea 1United Kingdom of Great Britain and Northern Ireland 1

Table 4 Foreign jurisdictions commerical interests affected by Angola’s state measures

Foreign jurisdictions affected Number of measures

Burundi 1Congo 1Ethiopia 1Kenya 1Rwanda 1

Table 5 Implemented measures that harm Angola’s commercial interests, by typeinterests

Type of measure. Number of measures As percentage of measures

Bail out / state aid measure 3 17.6%Tariff measure 3 17.6%Trade finance 3 17.6%Export subsidy 2 11.7%Export taxes or restriction 2 11.7%Import ban 1 5.8%Investment measure 1 5.8%Migration measure 1 5.8%Non tariff barrier (not otherwise specified) 1 5.8%Total 17 100.0%

Table 6 Angola's implemented measures that harm foreign commercial interests, by type

Type of measure. Number of measures As percentage of measures

Sanitary and Phytosanitary Measure 1 100.0%Total 1 100.0%

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Benin

Table 7 Foreign state measures affecting Benin’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Benin’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Benin’s 15 13commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Benin’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Benin’s commercial interests or(ii) that have been announced but not implemented 5 4and which almost certainly discriminateagainst Benin’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 6 6against Benin’s interests [3]

Total number of implemented measures affecting 12 11Benin’s commercial interests

Total number of pending foreign measures likely to affect 3 2Benin’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Benin’s 3 2foreign commercial interests

Total number of trading partners that have imposed measures 4 4that harm Benin’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Benin" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

BBEENN

IINN

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Country-by-Country Reports

143

BBEENNIINN

Table 8 Benin’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Benin’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Benin’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Benin’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Benin’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Benin’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Benin that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Benin that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Benin that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Benin" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Africa Resists the Protectionist Temptation: The 5th GTA report

144

BBEENN

IINN

Table 9 Foreign jurisdictions implementing measures affecting Benin’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

India 3Argentina 1France 1Indonesia 1

Table 10 Foreign jurisdictions' commercial interests affected by Benin's state measures

No measures have been reported for this jurisdiction

Table 12 Benin's implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

Table 11 Implemented measures that harm Benin’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 2 25.0%Export subsidy 2 25.0%Trade finance 2 25.0%Export taxes or restriction 1 12.5%Non tariff barrier not otherwise specified 1 12.5%Total 8 100.0%

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Botswana

145

BBOOTTSSWW

AANNAA

Table 13 Foreign state measures affecting Botswana’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Botswana’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Botswana’s 17 16commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Botswana’s 6 5commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Botswana’s commercial interests or(ii) that have been announced but not implemented 5 5and which almost certainly discriminateagainst Botswana’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 6 6against Botswana’s interests [3]

Total number of implemented measures affecting 14 13Botswana’s commercial interests

Total number of pending foreign measures likely to affect 3 3Botswana’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Botswana’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 5 5that harm Botswana’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Botswana" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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146

BBOOTTSS

WWAANN

AA

Table 14 Botswana’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Botswana’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Botswana’s measures affecting other 2 2jurisdictions’ commercial interests

Total number of Botswana’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Botswana’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Botswana’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Botswana that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Botswana that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Botswana that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Botswana" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Country-by-Country Reports

147

BBOOTTSSWW

AANNAA

Table 15 Foreign jurisdictions implementing measures affecting Botswana’s commercialinterests

Foreign jurisdictions implementing measures Number of measures

Indonesia 2China 1India 1Nigeria 1United States of America 1

Table 17 Implemented measures that harm Botswana’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 2 20.0%Export subsidy 2 20.0%Export taxes or restriction 2 20.0%Local content requirement 1 10.0%Public procurement 1 10.0%Tariff measure 1 10.0%Trade finance 1 10.0%Total 10 100.0%

Table 18 Botswana's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Local content requirement 1 50.0%Public procurement 1 50.0%Total 2 100.0%

Table 16 Foreign jurisdictions' commercial interests affected by Botswana's state measures

No measures have been reported for this jurisdiction

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Burkino Faso

Table 19 Foreign state measures affecting Burkino Faso’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Burkino Faso’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Burkino Faso’s 12 11commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Burkino Faso’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Burkino Faso’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Burkino Faso’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 5 5against Burkino Faso’s interests [3]

Total number of implemented measures affecting 11 10Burkino Faso’s commercial interests

Total number of pending foreign measures likely to affect 1 1Burkino Faso’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Burkino Faso’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 5 5that harm Burkino Faso’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Burkino Faso" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

BBUURRKK

IINNOO

FFAASSOO

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Table 20 Burkino Faso’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Burkino Faso’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Burkino Faso’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Burkino Faso’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Burkino Faso’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Burkino Faso’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Burkino Faso that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Burkino Faso that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Burkino Faso that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Burkino Faso" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 21 Foreign jurisdictions implementing measures affecting Bukrino Faso’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

Argentina 1Belgium 1France 1India 1

Table 23 Implemented measures that harm Burkino Faso’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 3 42.8%Non tariff barrier (not elsewhere specified) 2 28.5%Export subsidy 1 14.2%Trade finance 1 14.2%Total 7 100%

Table 22 Foreign jurisdiction’s commercial interests affected by Burkino Faso’s state measures

No measures have been reported for this jurisdiction

Table 24 Burkino Faso’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Cameroon

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Table 25 Foreign state measures affecting Cameroon’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Cameroon’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Cameroon’s 20 19commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Cameroon’s 8 7commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Cameroon’s commercial interests or(ii) that have been announced but not implemented 6 6and which almost certainly discriminateagainst Cameroon’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 6 6against Cameroon’s interests [3]

Total number of implemented measures affecting 16 15Cameroon’s commercial interests

Total number of pending foreign measures likely to affect 4 4Cameroon’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Cameroon’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 6 6that harm Cameroon’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Cameroon" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 26 Cameroon’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Cameroon’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Cameroon’s measures affecting other 2 2jurisdictions’ commercial interests

Total number of Cameroon’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 1 1commercial interests [1]

Total number of Cameroon’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Cameroon’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Cameroon that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Cameroon that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Cameroon that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Cameroon" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 27 Foreign jurisdictions implementing measures affecting Cameroon’s commercialinterests

Foreign jurisdictions implementing measures Number of measures

Argentina 1Belgium 1France 1Indonesia 1Republic of Korea 1Russian Federation 1

Table 29 Implemented measures that harm Cameroon’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 4 44.4%Tariff measure 2 22.2%Export subsidy 1 11.1%Export taxes or restriction 1 11.1%Trade finance 1 11.1%Total 9 100%

Table 30 Cameroon's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 1 100%Total 1 100%

Table 28 Foreign jurisdictions' commercial interests affected by Cameroon's state measures

No measures have been reported for this jurisdiction

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Cape Verde

Table 31 Foreign state measures affecting Cape Verde’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Cape Verde’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Cape Verde’s 13 12commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Cape Verde’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Cape Verde’s commercial interests or(ii) that have been announced but not implemented 5 5and which almost certainly discriminateagainst Cape Verde’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 4 4against Cape Verde’s interests [3]

Total number of implemented measures affecting 12 11Cape Verde’s commercial interests

Total number of pending foreign measures likely to affect 1 1Cape Verde’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Cape Verde’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 3 3that harm Cape Verde’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Cape Verde" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 32 Cape Verde’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Cape Verde’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Cape Verde’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Cape Verde’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Cape Verde’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Cape Verde’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Cape Verde that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Cape Verde that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Cape Verde that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Cape Verde" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 33 Foreign jurisdictions implementing measures affecting Cape Verde’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

Indonesia 2China 1Portugal 1

Table 35 Implemented measures that harm Cape Verde’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 2 25.0%Export taxes or restriction 2 25.0%Export subsidy 1 12.5%Migration measure 1 12.5%Tariff measure 1 12.5%Trade finance 1 12.5%Total 8 100.0%

Table 34 Foreign jurisdictions' commercial interests affected by Cape Verde’s state measures

No measures have been reported for this jurisdiction

Table 36 Cape Verde’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Central African Republic

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Table 37 Foreign state measures affecting Central African Republic’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Central African Republic’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Central African Republic’s 8 7commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Central African Republic’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Central African Republic’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Central African Republic’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 1 1against Central African Republic’s interests [3]

Total number of implemented measures affecting 7 6Central African Republic’s commercial interests

Total number of pending foreign measures likely to affect 1 1Central African Republic’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Central African Republic’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 1 1that harm Central African Republic’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Central African Republic" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 38 Central African Republic’s state measures affecting other jurisdictions' commercialinterests

Summary statistic of Central African Republic’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Central African Republic’s measures affecting 0 0other jurisdictions’ commercial interests

Total number of Central African Republic’s measures found to benefit or involve no change in the treatment of other 0 0jurisdictions’ commercial interests [1]

Total number of Central African Republic’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Central African Republic’s measures that 0 0have been implemented and which almost certainly discriminate against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Central African Republic that harm foreign 0 0commerical interests

Total number of 2-digit sectors affected by measures implemented by Central African Republic that harm foreign 0 0commerical interests

Total number of trading partners affected by measures 0 0implemented by Central African Republic that harm foreign commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Central African Republic" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 39 Foreign jurisdictions implementing measures affecting Central African Republic'scommercial interests

Foreign jurisdictions implementing measures Number of measures

Indonesia 1

Table 41 Implemented measures that harm Central African Republic’s commercial interests, bytype

Type of measure Number of measures As percentage of measures

Export subsidy 1 33.3%Tariff measure 1 33.3%Trade finance 1 33.3%Total 3 100%

Table 40 Foreign jurisdictions' commercial interests affected by Central African Republic’s statemeasures

No measures have been reported for this jurisdiction

Table 42 Central African Republic’s implemented measures that harm foreign commercialinterests, by type

No measures have been reported for this jurisdiction

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Chad

Table 43 Foreign state measures affecting Chad’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Chad’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Chad’s 9 8 Total number of foreign measures found to benefit or

involve no change in the treatment of Chad’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Chad’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Chad’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 1 1against Chad’s interests [3]

Total number of implemented measures affecting 7 6Chad’s commercial interests

Total number of pending foreign measures likely to affect 2 2Chad’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Chad’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 1 1that harm Chad’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Chad" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

CCHHAADD

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Table 44 Chad’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Chad’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Chad’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Chad’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Chad’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Chad’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Chad that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Chad that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Chad that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Chad" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 5 Foreign jurisdictions implementing measures affecting Chad’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

Argentina 1

Table 47 Implemented measures that harm Chad’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 1 33.3%Export subsidy 1 33.3%Trade finance 1 33.3%Total 3 100.0%

Table 46 Foreign jurisdictions' commercial interests affected by Chad’s state measures

No measures have been reported for this jurisdiction

Table 48 Chad’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Comoros

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Table 49 Foreign state measures affecting Comoros’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Comoros’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Comoros’s 8 8commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Comoros’s 3 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Comoros’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Comoros’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 2 2against Comoros’s interests [3]

Total number of implemented measures affecting 7 7Comoros’s commercial interests

Total number of pending foreign measures likely to affect 1 1Comoros’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Comoros’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 2 2that harm Comoros’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Comoros" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 50 Comoros’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Comoros’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Comoros’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Comoros’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Comoros’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Comoros’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Comoros that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Comoros that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Comoros that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Comoros" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 51 Foreign jurisdictions implementing measures affecting Comoros’s commercial interests

Foreign jurisdictions implementing measures Number of measures

Algeria 1Argentina 1

Table 53 Implemented measures that harm Comoros’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 1 25.0%Export subsidy 1 25.0%Investment measure 1 25.0%Trade finance 1 25.0%Total 4 100.0%

Table 52 Foreign jurisdictions' commercial interests affected by Comoros’s state measures

No measures have been reported for this jurisdiction

Table 54 Comoros’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Congo

Table 55 Foreign state measures affecting Congo’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Congo’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Congo’s 20 19commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Congo’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Congo’s commercial interests or(ii) that have been announced but not implemented 7 7and which almost certainly discriminateagainst Congo’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 9 9against Congo’s interests [3]

Total number of implemented measures affecting 17 16Congo’s commercial interests

Total number of pending foreign measures likely to affect 3 3Congo’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Congo’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 8 8that harm Congo’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Congo" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

CCOONN

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Table 56 Congo’s state measures affecting other jurisdictions' commercial interests

Summary statistic of v state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Congo’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Congo’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Congo’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Congo’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Congo that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Congo that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Congo that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Congo" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 57 Foreign jurisdictions implementing measures affecting Congo’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

India 2Angola 1Argentina 1Belgium 1Republic of Korea 1

Table 59 Implemented measures that harm Congo’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 3 23.0%Export subsidy 2 15.4%Export taxes or restrictions 2 15.4%Tariff measure 2 15.4%Trade finance 2 15.4%Investment measure 1 7.7%Sanitary and Phytosanitary measure 1 7.7%Total 13 100%

Table 58 Foreign jurisdictions' commercial interests affected by Congo’s state measures

No measures have been reported for this jurisdiction

Table 60 Congo’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Democratic Republic of The Congo

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Table 61 Foreign state measures affecting Democratic Republic of The Congo’s commercialinterests

Summary statistic of foreign state measures All measures All measures exceptaffecting Democratic Rep. of The Congo’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Democratic Rep. of The Congo’s 15 14commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Democratic Rep. of 4 3The Congo’s commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Democratic Rep. of The Congo’s commercial interests or(ii) that have been announced but not implemented 7 7and which almost certainly discriminateagainst Democratic Rep. of The Congo’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 4 4against Democratic Rep. of The Congo’s interests [3]

Total number of implemented measures affecting 11 10Democratic Rep. of The Congo’s commercial interests

Total number of pending foreign measures likely to affect 4 4Democratic Rep. of The Congo’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Democratic Rep. of 4 4The Congo’s foreign commercial interests

Total number of trading partners that have imposed measures 3 3that harm Democratic Rep. of The Congo’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Democratic Republic of The Congo" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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DDEEMM

OOCCRR

AATTIICC

RREEPPUU

BBLLIICC

OOFF

TTHHEE

CCOONN

GGOO

Table 62 Democratic Republic of The Congo’s state measures affecting other jurisdictions'commercial interests

Summary statistic of Democratic Rep. of The Congo’s state All measures All measures exceptmeasures affecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Democratic Rep. of The Congo’s measures 0 0affecting other jurisdictions’ commercial interests

Total number of Democratic Rep. of The Congo’s measures found to benefit or involve no change in the treatment of 0 0other jurisdictions’ commercial interests [1]

Total number of Democratic Rep. of The Congo’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Democratic Rep. of The Congo’s measures that have been implemented and which almost certainly 0 0discriminate against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Democratic Rep. of The Congo that harm foreign 0 0commerical interests

Total number of 2-digit sectors affected by measures implemented by Democratic Rep. of The Congo that harm foreign 0 0commerical interests

Total number of trading partners affected by measures 0 0implemented by Democratic Rep. of The Congo that harm foreign commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Democratic Republic of The Congo" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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DDEEMMOO

CCRRAATTIICCRREEPPUU

BBLLIICCOO

FFTTHH

EECCOO

NNGG

OO

Table 63 Foreign jurisdictions implementing measures affecting Democratic Republic of TheCongo’s commercial interests

Foreign jurisdictions implementing measures Number of measures

Argentina 2Belgium 1Russian Federation 1

Table 65 Implemented measures that harm Democratic Republic of The Congo’s commercialinterests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 3 42.8%Export subsidy 1 14.3%Export taxes or restriction 1 14.3%Public procurement 1 14.3%Trade finance 1 14.3%Total 7 100.0%

Table 64 Foreign jurisdictions' commercial interests affected by Democratic Republic of TheCongo’s state measures

No measures have been reported for this jurisdiction

Table 66 Democratic Republic of The Congo’s implemented measures that harm foreigncommercial interests, by type

No measures have been reported for this jurisdiction

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Cote d’Ivoire

Table 67 Foreign state measures affecting Cote d’Ivoire commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Cote d’Ivoire’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Cote d’Ivoire’s 36 34commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Cote d’Ivoire’s 5 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Cote d’Ivoire’s commercial interests or(ii) that have been announced but not implemented 9 8and which almost certainly discriminateagainst Cote d’Ivoire’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 22 22against Cote d’Ivoire’s interests [3]

Total number of implemented measures affecting 31 30Cote d’Ivoire’s commercial interests

Total number of pending foreign measures likely to affect 5 4Cote d’Ivoire’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Cote d’Ivoire’s 5 4foreign commercial interests

Total number of trading partners that have imposed measures 39 39that harm Cote d’Ivoire’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Cote d’Ivoire" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

CCOOTTEE

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EE

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CCOOTTEE

DD’’IIVVOOIIRREE

Table 68 Cote d’Ivoire’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Cote d’Ivoire’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Cote d’Ivoire’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Cote d’Ivoire’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 1 1commercial interests [1]

Total number of Cote d’Ivoire’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Cote d’Ivoire’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Cote d’Ivoire that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Cote d’Ivoire that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Cote d’Ivoire that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Cote d’Ivoire" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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CCOOTTEE

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Table 69 Foreign jurisdictions implementing measures affecting Cote d’Ivoire’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

France 4Indonesia 4India 3Spain 3United Kingdom of Great Britain and Northern Ireland 3Austria 2Belgium 2Bulgaria 2Cyprus 2Czech Republic 2Denmark 2Egypt 2Estonia 2European Communities 2Finland 2Germany 2Greece 2Hungary 2Ireland 2Italy 2Latvia 2Lithuania 2Luxembourg 2Malta 2Netherlands 2Poland 2Portugal 2Romania 2Russian Federation 2Slovakia 2Slovenia 2Sweden 2Argentina 1China 1Japan 1Malaysia 1Switzerland 1Thailand 1United States of America 1

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CCOOTTEE

DD’’IIVVOOIIRREE

Table 71 Implemented measures that harm Cote d’Ivoire’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 9 30.0%Export subsidy 8 26.7%Export taxes or restriction 5 16.7%Trade finance 2 6.8%Consumption subsidy 1 3.3%Import subsidy 1 3.3%Local content requirement 1 3.3%Non tariff barrier (not otherwise specified) 1 3.3%Public procurement 1 3.3%State-controlled company 1 3.3%Total 30 100.0%

Table 70 Foreign jurisdictions' commercial interests affected by Cote d’Ivoire’s state measures

No measures have been reported for this jurisdiction

Table 72 Cote d’Ivoire’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Eritrea

Table 73 Foreign state measures affecting Eritrea’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Eritrea’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Eritrea’s 8 8commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Eritrea’s 3 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Eritrea’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Eritrea’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 2 2against Eritrea’s interests [3]

Total number of implemented measures affecting 7 7Eritrea’s commercial interests

Total number of pending foreign measures likely to affect 1 1Eritrea’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Eritrea’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 2 2that harm Eritrea’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Eritrea" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

EERRIITT

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Table 74 Eritrea state measures affecting other jurisdictions' commercial interests

Summary statistic of Eritrea’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Eritrea’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Eritrea’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Eritrea’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Eritrea’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Eritrea that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Eritrea that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Eritrea that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Eritrea" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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EERRIITT

RREEAA

Table 75 Foreign jurisdictions implementing measures affecting Eritrea’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

Algeria 1Egypt 1

Table 77 Implemented measures that harm Eritrea’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 1 25.0%Export taxes or restriction 1 25.0%Investment measure 1 25.0%Trade finance 1 25.0%Total 4 100.0%

Table 76 Foreign jurisdictions' commercial interests affected by Eritrea’s state measures

No measures have been reported for this jurisdiction

Table 78 Eritrea’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Ethiopia

179

EETTHHIIOO

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Table 79 Foreign state measures affecting Ethiopia’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Ethiopia’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Ethiopia’s 33 33commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Ethiopia’s 5 5commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Ethiopia’s commercial interests or(ii) that have been announced but not implemented 7 7and which almost certainly discriminateagainst Ethiopia’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 21 21against Ethiopia’s interests [3]

Total number of implemented measures affecting 30 30Ethiopia’s commercial interests

Total number of pending foreign measures likely to affect 3 3Ethiopia’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Ethiopia’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 40 40that harm Ethiopia’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Ethiopia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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EETTHH

IIOOPPII

AA

Table 80 Ethiopia’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Ethiopia’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Ethiopia’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Ethiopia’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Ethiopia’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Ethiopia’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Ethiopia that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Ethiopia that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Ethiopia that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Ethiopia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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EETTHHIIOO

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Table 81 Foreign jurisdictions implementing measures affecting Ethiopia’s commercial interests

Foreign jurisdictions implementing measures Number of measures

France 3India 3Indonesia 3Belgium 2China 2Germany 2Switzerland 2Angola 1Austria 1Bulgaria 1Cyprus 1Czech Republic 1Denmark 1Egypt 1Estonia 1European Communities 1Finland 1Greece 1Hungary 1Ireland 1Italy 1Kenya 1Latvia 1Lithuania 1Luxembourg 1Malaysia 1Malta 1Netherlands 1Poland 1Portugal 1Republic of Korea 1Romania 1Russian Federation 1Slovakia 1Slovenia 1Spain 1Sweden 1Thailand 1United Kingdom of Great Britain and Northern Ireland 1United States of America 1

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EETTHH

IIOOPPII

AA

Table 83 Implemented measures that harm Ethiopia’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 10 33.3%Export subsidy 6 20.0%Export taxes or restriction 5 16.7%Local content requirement 2 6.7%Tariff measure 2 6.7%Trade finance 2 6.7%Import subsidy 1 3.3%Public procurement 1 3.3%Sanitary and Phytosantiary Measure 1 3.3%Total 30 100.0%

Table 84 Ethiopia's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Competitive devaluation 1 100.0%Total 1 100.0%

Table 82 Foreign jurisdictions' commercial interests affected by Ethiopia’s state measures

No measures have been reported for this jurisdiction

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Gabon

183

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Table 85 Foreign state measures affecting Gabon’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Gabon’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Gabon’s 13 12commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Gabon’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Gabon’s commercial interests or(ii) that have been announced but not implemented 5 5and which almost certainly discriminateagainst Gabon’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 4 4against Gabon’s interests [3]

Total number of implemented measures affecting 11 10Gabon’s commercial interests

Total number of pending foreign measures likely to affect 2 2Gabon’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Gabon’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 3 3that harm Gabon’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Gabon" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGAABB

OONN

Table 86 Gabon’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Gabon’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Gabon’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Gabon’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Gabon’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Gabon’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Gabon that harm foreign commerical 1 1interests

Total number of 2-digit sectors affected by measures implemented by Gabon that harm foreign commerical 1 1interests

Total number of trading partners affected by measures 0 0implemented by Gabon that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Gabon" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGAABBOO

NN

Table 87 Foreign jurisdictions implementing measures affecting Gabon’s commercial interests

Foreign jurisdictions implementing measures Number of measures

India 2Argentina 1Indonesia 1

Table 89 Implemented measures that harm Gabon’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 2 28.55%Trade finance 2 28.55%Bail out/state aid measure 1 14.3%Export taxes or restriction 1 14.3%Investment measure 1 14.3%Total 7 100.0%

Table 90 Gabon's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 1 100.0%Total 1 100.0%

Table 88 Foreign jurisdictions' commercial interests affected by Gabon’s state measures

No measures have been reported for this jurisdiction

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Gambia

Table 91 Foreign state measures affecting Gambia’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Gambia’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Gambia’s 14 13commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Gambia’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Gambia’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Gambia’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 7 7against Gambia’s interests [3]

Total number of implemented measures affecting 13 12Gambia’s commercial interests

Total number of pending foreign measures likely to affect 1 1Gambia’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Gambia’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 5 5that harm Gambia’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Gambia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

GGAAMM

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GGAAMM

BBIIAA

Table 92 Gambia’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Gambia’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Gambia’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Gambia’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Gambia’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Gambia’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Gambia that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Gambia that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Gambia that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Gambia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGAAMM

BBIIAA

Table 93 Foreign jurisdictions implementing measures affecting Gambia’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

India 2Indonesia 2Argentina 1Egypt 1Russian Federation 1

Table 95 Implemented measures that harm Gambia’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 3 37.5%Export subsidy 2 25.0%Trade finance 2 25.0%Bail out/state aid measure 1 12.5%Total 8 100.0%

Table 94 Foreign jurisdictions' commercial interests affected by Gambia’s state measures

No measures have been reported for this jurisdiction

Table 96 Gambia’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Ghana

189

GGHH

AANNAA

Table 97 Foreign state measures affecting Ghana’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Ghana’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Ghana’s 36 34commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Ghana’s 7 6commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Ghana’s commercial interests or(ii) that have been announced but not implemented 9 8and which almost certainly discriminateagainst Ghana’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 20 20against Ghana’s interests [3]

Total number of implemented measures affecting 30 29Ghana’s commercial interests

Total number of pending foreign measures likely to affect 6 5Ghana’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Ghana’s 5 4foreign commercial interests

Total number of trading partners that have imposed measures 38 38that harm Ghana’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Ghana" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGHH

AANNAA

Table 98 Ghana’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Ghana’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Ghana’s measures affecting other 3 3jurisdictions’ commercial interests

Total number of Ghana’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 1 1commercial interests [1]

Total number of Ghana’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Ghana’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Ghana that harm foreign commerical 11 11interests

Total number of 2-digit sectors affected by measures implemented by Ghana that harm foreign commerical 4 4interests

Total number of trading partners affected by measures 22 22implemented by Ghana that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Ghana" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGHH

AANNAA

Table 99 Foreign jurisdictions implementing measures affecting Ghana’s commercial interests

Foreign jurisdictions implementing measures Number of measures

Indonesia 4India 3Belgium 2Egypt 2France 2Italy 2Spain 2United Kingdom of Great Britain and Northern Ireland 2Argentina 1Austria 1Bulgaria 1Cyprus 1Czech Republic 1Denmark 1Estonia 1European Communities 1Finland 1Germany 1Greece 1Hungary 1Ireland 1Japan 1Latvia 1Lithuania 1Luxembourg 1Malaysia 1Malta 1Netherlands 1Poland 1Portugal 1Republic of Korea 1Romania 1Russian Federation 1Slovakia 1Slovenia 1Sweden 1Thailand 1United States of America 1

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GGHH

AANNAA

Table 101 Implemented measures that harm Ghana’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 10 38.5%Export taxes or restriction 5 19.2%Export subsidy 3 11.5%Non tariff barrier (not otherwise specified) 2 7.7%Public procurement 2 7.7%Trade finance 2 7.7%Import subsidy 1 3.8%Local content requirement 1 3.8%Total 26 100.0%

Table 102 Ghana's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Tariff measure 1 100.0%Total 1 100.0%

Table 100 Foreign jurisdictions' commercial interests affected by Ghana's state measures

Foreign jurisdictions affected Number of measures

Argentina 1Belgium 1Canada 1China 1Egypt 1France 1Germany 1Hong Kong 1India 1Indonesia 1Japan 1Malaysia 1Netherlands 1Pakistan 1Singapore 1Switzerland 1Thailand 1Togo 1Turkey 1United States of America 1Uruguay 1Viet Nam 1

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Guinea

193

GGUU

IINNEEAA

Table 103 Foreign state measures affecting Guinea’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Guinea’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Guinea’s 20 19commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Guinea’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Guinea’s commercial interests or(ii) that have been announced but not implemented 5 5and which almost certainly discriminateagainst Guinea’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 11 11against Guinea’s interests [3]

Total number of implemented measures affecting 18 17Guinea’s commercial interests

Total number of pending foreign measures likely to affect 2 2Guinea’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Guinea’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 8 8that harm Guinea’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Guinea" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGUU

IINNEEAA

Table 104 Guinea’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Guinea’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Guinea’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Guinea’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Guinea’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Guinea’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Guinea that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Guinea that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Guinea that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Guinea" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGUU

IINNEEAA

Table 105 Foreign jurisdictions implementing measures affecting Guinea’s commercial interests

Foreign jurisdictions implementing measures Number of measures

India 2Indonesia 2Republic of Korea 2Argentina 1Belgium 1China 1Egypt 1Russian Federation 1

Table 107 Implemented measures that harm Guinea’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 4 28.6%Tariff measure 3 21.4%Bail out/state aid measure 2 14.3%Export subsidy 2 14.3%Trade finance 2 14.3%Public procurement 1 7.1%Total 14 100.0

Table 106 Foreign jurisdictions' commercial interests affected by Guinea’s state measures

No measures have been reported for this jurisdiction

Table 108 Guinea’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Guinea-Bissau

Table 109 Foreign state measures affecting Guinea-Bissau’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Guinea-Bissau’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Guinea-Bissau’s 13 12commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Guinea-Bissau’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Guinea-Bissau’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Guinea-Bissau’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 5 5against Guinea-Bissau’s interests [3]

Total number of implemented measures affecting 12 11Guinea-Bissau’s commercial interests

Total number of pending foreign measures likely to affect 1 1Guinea-Bissau’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Guinea-Bissau’ 1 1foreign commercial interests

Total number of trading partners that have imposed measures 5 5that harm Guinea-Bissau’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Guinea-Bissau" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

GGUU

IINNEEAA

--BBIISS

SSAAUU

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GGUU

IINNEEAA--BBIISSSSAAUU

Table 110 Guinea-Bissau’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Guinea-Bissau’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Guinea-Bissau’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Guinea-Bissau’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Guinea-Bissau’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Guinea-Bissau’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Guinea-Bissau that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Guinea-Bissau that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Guinea-Bissau that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Guinea-Bissau" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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GGUU

IINNEEAA

--BBIISS

SSAAUU

Table 111 Foreign jurisdictions implementing measures affecting Guinea-Bissau’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

Argentina 1Egypt 1Indonesia 1Portugal 1Republic of Korea 1

Table 113 Implemented measures that harm Guinea-Bissau’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 2 20.0%Tariff measure 2 20.0%Bail out/state aid measure 1 10.0%Export subsidy 1 10.0%Import ban 1 10.0%Migration measure 1 10.0%Non tariff barrier (not otherwise specified) 1 10.0%Trade finance 1 10.0%Total 10 100.0%

Table 112 Foreign jurisdictions' commercial interests affected by Guinea-Bissau’s statemeasures

No measures have been reported for this jurisdiction

Table 114 Guinea-Bissau’s implemented measures that harm foreign commercial interests, bytype

No measures have been reported for this jurisdiction

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Kenya

199

KKEEYYNNAA

Table 115 Foreign state measures affecting Kenya’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Keyna’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Keyna’s 48 47commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Keyna’s 9 8commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Keyna’s commercial interests or(ii) that have been announced but not implemented 9 9and which almost certainly discriminateagainst Keyna’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 30 30against Keyna’s interests [3]

Total number of implemented measures affecting 44 43Keyna’s commercial interests

Total number of pending foreign measures likely to affect 4 4Keyna’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Keyna’s 4 4foreign commercial interests

Total number of trading partners that have imposed measures 42 42that harm Keyna’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Keyna" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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KKEENN

YYAA

Table 116 Kenya’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Kenya’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Kenya’s measures affecting other 6 6jurisdictions’ commercial interests

Total number of Kenya’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 1 1commercial interests [1]

Total number of Kenya’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst foreign interests [2]

Total number of Kenya’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Kenya that harm foreign commerical 3 3interests

Total number of 2-digit sectors affected by measures implemented by Kenya that harm foreign commerical 2 2interests

Total number of trading partners affected by measures 3 3implemented by Kenya that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Keyna" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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KKEENNYYAA

Table 117 Foreign jurisdictions implementing measures affecting Kenya’s commercial interests

Foreign jurisdictions implementing measures Number of measures

France 5Indonesia 5Belgium 3Egypt 3India 3Russian Federation 3Spain 3United Kingdom of Great Britain and Northern Ireland 3Austria 2Bulgaria 2Cyprus 2Czech Republic 2Denmark 2Estonia 2European Communities 2Finland 2Germany 2Greece 2Hungary 2Ireland 2Italy 2Latvia 2Lithuania 2Luxembourg 2Malta 2Netherlands 2Poland 2Portugal 2Romania 2Slovakia 2Slovenia 2Sweden 2United States of America 2Angola 1Belarus 1China 1Japan 1Malaysia 1Republic of Korea 1Switzerland 1Thailand 1Uganda 1

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KKEENN

YYAA

Table 118 Foreign jurisdictions' commercial interests affected by Kenya's state measures

Foreign jurisdictions affected Number of measures.

Ethiopia 1India 1United Republic of Tanzania 1

Table 119 Implemented measures that harm Kenya’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 9 22.5%Export taxes or restriction 9 22.5%Export subsidy 8 20.0%Public procurement 3 7.5%Tariff measure 3 7.5%Trade finance 2 5.0%Consumption subsidy 1 2.5%Import ban 1 2.5%Import subsidy 1 2.5%Local content requirement 1 2.5%Non tariff barrier (not otherwise specified) 1 2.5%Sanitary and Phytosantiary Measure 1 2.5%Total 40 100.0%

Table 120 Kenya's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 2 66.66%Tariff measure 1 33.33%Total 3 100.0%

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Lesotho

203

LLEESSOOTTHH

OO

Table 121 Foreign state measures affecting Lesotho’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Lesotho’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Lesotho’s 11 10commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Lesotho’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Lesotho’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Lesotho’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 3 3against Lesotho’s interests [3]

Total number of implemented measures affecting 9 8Lesotho’s commercial interests

Total number of pending foreign measures likely to affect 2 2Lesotho’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Lesotho’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 2 2that harm Lesotho’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Lesotho" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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LLEESSOO

TTHHOO

Table 122 Lesotho’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Lesotho’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Lesotho’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Lesotho’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Lesotho’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Lesotho’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Lesotho that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Lesotho that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Lesotho that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"xxxx" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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LLEESSOOTTHH

OO

Table 123 Foreign jurisdictions implementing measures affecting Lesotho’s commercial interests

Foreign jurisdictions implementing measures Number of measures

India 2United States of America 1

Table 125 Implemented measures that harm Lesotho’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 2 33.33%Trade finance 2 33.33%Local content requirement 1 16.66%Public procurement 1 16.66%Total 6 100.0%

Table 124 Foreign jurisdictions' commercial interests affected by Lesotho’s state measures

No measures have been reported for this jurisdiction

Table 126 Lesotho’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Liberia

Table 127 Foreign state measures affecting Liberia’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Liberia’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Liberia’s 9 9commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Liberia’s 3 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Liberia’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Liberia’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 3 3against Liberia’s interests [3]

Total number of implemented measures affecting 8 8Liberia’s commercial interests

Total number of pending foreign measures likely to affect 1 1Liberia’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Liberia’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 4 4that harm Liberia’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Liberia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

LLIIBBEE

RRIIAA

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LLIIBBEERRIIAA

Table 128 Liberia’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Liberia’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Liberia’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Liberia’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 1 1commercial interests [1]

Total number of Liberia’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Liberia’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Liberia that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Liberia that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Liberia that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Liberia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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LLIIBBEE

RRIIAA

Table 129 Foreign jurisdictions implementing measures affecting Liberia’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

Argentina 1Belarus 1China 1Russian Federation 1

Table 131 Implemented measures that harm Liberia’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 1 20.0%Export subsidy 1 20.0%Export taxes or restriction 1 20.0%Tariff measure 1 20.0%Trade finance 1 20.0%Total 5 100.0%

Table 130 Foreign jurisdictions' commercial interests affected by Liberia’s state measures

No measures have been reported for this jurisdiction

Table 132 Liberia’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Madagascar

209

MMAADDAAGG

AASSCCAARR

Table 133 Foreign state measures affecting Madagascar’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Madagascar’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Madagascar’s 29 28commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Madagascar’s 6 5commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Madagascar’s commercial interests or(ii) that have been announced but not implemented 8 8and which almost certainly discriminateagainst Madagascar’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 15 15against Madagascar’s interests [3]

Total number of implemented measures affecting 26 25Madagascar’s commercial interests

Total number of pending foreign measures likely to affect 3 3Madagascar’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Madagascar’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 34 34that harm Madagascar’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Madagascar" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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MMAADD

AAGGAASS

CCAARR

Table 134 Madagascar’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Madagascar’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Madagascar’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Madagascar’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Madagascar’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Madagascar’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Madagascar that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Madagascar that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Madagascar that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Madagascar" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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MMAADDAAGG

AASSCCAARR

Table 135 Foreign jurisdictions implementing measures affecting Madagascar’s commercialinterests

Foreign jurisdictions implementing measures Number of measures

France 3India 3Indonesia 3China 2Spain 2Argentina 1Austria 1Belgium 1Bulgaria 1Cyprus 1Czech Republic 1Denmark 1Estonia 1European Communities 1Finland 1Germany 1Greece 1Hungary 1Ireland 1Italy 1Japan 1Latvia 1Lithuania 1Luxembourg 1Malta 1Netherlands 1Poland 1Portugal 1Romania 1Slovakia 1Slovenia 1Sweden 1United Kingdom of Great Britain and Northern Ireland 1United States of America 1

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MMAADD

AAGGAASS

CCAARR

Table 137 Implemented measures that harm Madagascar’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 5 20.8%Export subsidy 5 20.8%Export taxes or restriction 4 16.6%Tariff measure 3 12.5%Trade finance 2 8.3%Consumption subsidy 1 4.2%Local content requirement 1 4.2%Non tariff barrier (not otherwise specified) 1 4.2%Public procurement 1 4.2%State-controlled company 1 4.2%Total 24 100.0%

Table 138 Madagascar’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

Table 136 Foreign jurisdictions' commercial interests affected by Madagascar’s state measures

No measures have been reported for this jurisdiction

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Malawi

213

MMAALLAAWW

II

Table 139 Foreign state measures affecting Malawi’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Malawi’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Malawi’s 24 23commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Malawi’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Malawi’s commercial interests or(ii) that have been announced but not implemented 7 7and which almost certainly discriminateagainst Malawi’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 13 13against Malawi’s interests [3]

Total number of implemented measures affecting 21 20Malawi’s commercial interests

Total number of pending foreign measures likely to affect 3 3Malawi’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Malawi’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 12 12that harm Malawi’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Malawi" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 140 Malawi’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Malawi’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Malawi’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Malawi’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Malawi’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Malawi’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Malawi that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Malawi that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Malawi that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Malawi" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 141 Foreign jurisdictions implementing measures affecting Malawi’s commercial interests

Foreign jurisdictions implementing measures Number of measures

India 3Indonesia 2Argentina 1Belgium 1China 1Egypt 1Russian Federation 1Spain 1Thailand 1United States of America 1

Table 143 Implemented measures that harm Malawi’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 4 21.0%Export taxes or restriction 4 21.0%Export subsidy 3 15.8%Public procurement 2 10.5%Trade finance 2 10.5%Import subsidy 1 5.3%Local content requirement 1 5.3%Non tariff barrier (not elsewhere specified) 1 5.3%Tariff measure 1 5.3%Total 19 100.0%

Table 142 Foreign jurisdictions' commercial interests affected by Malawi’s state measures

No measures have been reported for this jurisdiction

Table 144 Malawi’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Mali

Table 145 Foreign state measures affecting Mali’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Mali’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Mali’s 22 21commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Mali’s 5 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Mali’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Mali’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 14 14against Mali’s interests [3]

Total number of implemented measures affecting 21 20Mali’s commercial interests

Total number of pending foreign measures likely to affect 1 1Mali’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Mali’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 11 11that harm Mali’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mali" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 146 Mali’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Mali’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Mali’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Mali’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Mali’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Mali’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Mali that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Mali that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Mali that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mali" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 147 Foreign jurisdictions implementing measures affecting Mali’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

India 2Indonesia 2Switzerland 2Argentina 1Belgium 1Bolivia 1China 1Egypt 1France 1Spain 1United States of America 1

Table 149 Implemented measures that harm Mali’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 6 30.0%Export subsidy 4 20.0%Export taxes or restriction 3 15.0%Local content requirement 2 10.0%Trade finance 2 10.0%Import subsidy 1 5.0%Public procurement 1 5.0%Tariff measure 1 5.0%Total 20 100.0%

Table 148 Foreign jurisdictions' commercial interests affected by Mali’s state measures

No measures have been reported for this jurisdiction

Table 150 Mali’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Mauritania

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Table 151 Foreign state measures affecting Mauritania’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Mauritania’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Mauritania’s 18 17commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Mauritania’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Mauritania’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Mauritania’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 10 10against Mauritania’s interests [3]

Total number of implemented measures affecting 16 15Mauritania’ss commercial interests

Total number of pending foreign measures likely to affect 2 2Mauritania’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Mauritania’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 8 8that harm Mauritania’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mauritania" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 152 Mauritania’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Mauritania’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Mauritania’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Mauritania’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Mauritania’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Mauritania’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Mauritania that harm foreign commerical 1 1interests

Total number of 2-digit sectors affected by measures implemented by Mauritania that harm foreign commerical 1 1interests

Total number of trading partners affected by measures 7 7implemented by Mauritania that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mauritania" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 153 Foreign jurisdictions implementing measures affecting Mauritania’s commercialinterests

Foreign jurisdictions implementing measures Number of measures

India 2Indonesia 2Russian Federation 2Algeria 1Argentina 1Belarus 1China 1Republic of Korea 1

Table 154 Foreign jurisdictions' commercial interests affected by Mauritania's state measures

Foreign jurisdictions affected Number of measures

Belgium 1France 1Japan 1Netherlands 1Senegal 1Spain 1United Arab Emirates 1

Table 155 Implemented measures that harm Mauritania’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 4 33.3%Bail out / state aid measure 2 16.7%Export subsidy 2 16.7%Trade finance 2 16.7%Investment measure 1 8.3%Tariff measure 1 8.3%Total 12 100.0%

Table 156 Mauritania's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Non tariff barrier (not otherwise specified) 1 100.0%Total 1 100.0%

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Mauritius

Table 157 Foreign state measures affecting Mauritius’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Mauritius’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Mauritius’s 32 31commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Mauritius’s 6 5commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Mauritius’s commercial interests or(ii) that have been announced but not implemented 10 10and which almost certainly discriminateagainst Mauritius’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 16 16against Mauritius’s interests [3]

Total number of implemented measures affecting 28 27Mauritius’s commercial interests

Total number of pending foreign measures likely to affect 4 4Mauritius’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Mauritius’s 4 4foreign commercial interests

Total number of trading partners that have imposed measures 12 12that harm Mauritius’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mauritius" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 158 Mauritius’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Mauritius’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Mauritius’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Mauritius’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Mauritius’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Mauritius’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Mauritius that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Mauritius that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Mauritius that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mauritius" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 159 Foreign jurisdictions implementing measures affecting Mauritius’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

India 4Indonesia 2Argentina 1Belgium 1China 1Egypt 1France 1Japan 1Russian Federation 1Switzerland 1United Kingdom of Great Britain and Northern Ireland 1United States of America 1

Table 161 Implemented measures that harm Mauritius’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 5 20.8%Export taxes or restriction 5 20.8%Export subsidy 4 16.7%Tariff measure 3 12.6%Non tariff barrier (not otherwise specified) 2 8.4%Trade finance 2 8.4%Local content requirement 1 4.1%Public procurement 1 4.1%Quota (including tariff rate quotas) 1 4.1%Total 24 100.0%

Table 160 Foreign jurisdictions' commercial interests affected by Mauritius’s state measures

No measures have been reported for this jurisdiction

Table 162 Mauritius’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Mayotte

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Table 163 Foreign state measures affecting Mayotte’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Mayotte’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Mayotte’s 6 6commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Mayotte’s 3 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Mayotte’s commercial interests or(ii) that have been announced but not implemented 2 2and which almost certainly discriminateagainst Mayotte’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 1 1against Mayotte’s interests [3]

Total number of implemented measures affecting 6 6Mayotte’s commercial interests

Total number of pending foreign measures likely to affect 0 0Mayotte’ss commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Mayotte’s 0 0foreign commercial interests

Total number of trading partners that have imposed measures 1 1that harm Mayotte’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mayotte" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 164 Mayotte’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Mayotte’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Mayotte’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Mayotte’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Mayotte’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Mayotte’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Mayotte that harm foreign commerical 0 0interestsTotal number of 2-digit sectors affected by measures implemented by Mayotte that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Mayotte that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"xxxx" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 165 Foreign jurisdictions implementing measures affecting Mayotte’s commercial interests

Foreign jurisdictions implementing measures Number of measures

Egypt 1

Table 167 Implemented measures that harm Mayotte’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 1 25.0%Export taxes or restriction 1 25.0%Import subsidy 1 25.0%Trade finance 1 25.0%Total 4 100.0%

Table 166 Foreign jurisdictions' commercial interests affected by Mayotte’s state measures

No measures have been reported for this jurisdiction

Table 168 Mayotte’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Mozambique

Table 169 Foreign state measures affecting Mozambique’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Mozambique’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Mozambique’s 26 25commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Mozambique’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Mozambique’s commercial interests or(ii) that have been announced but not implemented 9 9and which almost certainly discriminateagainst Mozambique’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 13 13against Mozambique’s interests [3]

Total number of implemented measures affecting 20 19Mozambique’s commercial interests

Total number of pending foreign measures likely to affect 6 6Mozambique’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Mozambique’s 6 6foreign commercial interests

Total number of trading partners that have imposed measures 9 9that harm Mozambique’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mozambique" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 170 Mozambique’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Mozambique’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Mozambique’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Mozambique’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Mozambique’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Mozambique’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Mozambique that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Mozambique that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Mozambique that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Mozambique" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 171 Foreign jurisdictions implementing measures affecting Mozambique’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

India 3Indonesia 3Argentina 1China 1Egypt 1Japan 1Russian Federation 1Zambia 1Zimbabwe 1

Table 173 Implemented measures that harm Mozambique’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 4 23.6%Export subsidy 3 17.7%Bail out / state aid measure 2 11.7%Tariff measure 2 11.7%Trade finance 2 11.7%Import subsidy 1 5.9%Non tariff barrier (not otherwise specified) 1 5.9%Public procurement 1 5.9%Sanitary and Phytosantiary Measure 1 5.9%Total 17 100.0%

Table 172 Foreign jurisdictions' commercial interests affected by Mozambique’s state measures

No measures have been reported for this jurisdiction

Table 174 Mozambique’s implemented measures that harm foreign commercial interests, bytype

No measures have been reported for this jurisdiction

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Namibia

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Table x175 Foreign state measures affecting Namibia’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Namibia’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Namibia’s 27 26commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Namibia’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Namibia’s commercial interests or(ii) that have been announced but not implemented 7 7and which almost certainly discriminateagainst Namibia’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 16 16against Namibia’s interests [3]

Total number of implemented measures affecting 24 23Namibia’s commercial interests

Total number of pending foreign measures likely to affect 3 3Namibia’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Namibia’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 13 13that harm Namibia’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Namibia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 176 Namibia’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Namibia’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Namibia’s measures affecting other xxjurisdictions’ commercial interests

Total number of Namibia’s measures found to benefit or involve no change in the treatment of other jurisdictions’ xxcommercial interests [1]

Total number of Namibia’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented xxand which almost certainly discriminateagainst foreign interests [2]

Total number of Namibia’s measures that have been implemented and which almost certainly discriminate xxagainst foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Namibia that harm foreign commerical xxinterests

Total number of 2-digit sectors affected by measures implemented by Namibia that harm foreign commerical xinterests

Total number of trading partners affected by measures ximplemented by Namibia that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Namibia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 177 Foreign jurisdictions implementing measures affecting Namibia’s commercialinterests

Foreign jurisdictions implementing measures Number of measures

Indonesia 4Russian Federation 2Switzerland 2Argentina 1China 1Egypt 1France 1Japan 1Malaysia 1Republic of Korea 1Spain 1Thailand 1United States of America 1

Table 179 Implemented measures that harm Namibia’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 7 29.2%Export taxes or restriction 4 16.7%Export subsidy 3 12.5%Tariff measure 3 12.5%Local content requirement 2 8.4%Public procurement 2 8.4%Import subsidy 1 4.1%Non tariff barrier (not otherwise specified) 1 4.1%Trade finance 1 4.1%Total 24 100.0%

Table 180 Namibia's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Tariff measure 1 100.0%Total 1 100.0%

Table 178 Foreign jurisdictions' commercial interests affected by Namibia’s state measures

No measures have been reported for this jurisdiction

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Niger

Table 181 Foreign state measures affecting Niger’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Niger’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Niger’s 19 18commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Niger’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Niger’s commercial interests or(ii) that have been announced but not implemented 5 5and which almost certainly discriminateagainst Niger’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 10 10against Niger’s interests [3]

Total number of implemented measures affecting 17 16Niger’s commercial interests

Total number of pending foreign measures likely to affect 2 2Niger’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Niger’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 34 34that harm Niger’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Niger" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 182 Niger’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Niger’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Niger’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Niger’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Niger’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Niger’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Niger that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Niger that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Niger that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Niger" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 183 Foreign jurisdictions implementing measures affecting Niger’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

India 3Indonesia 2Argentina 1Austria 1Belgium 1Bulgaria 1China 1Cyprus 1Czech Republic 1Denmark 1Estonia 1European Communities 1Finland 1France 1Germany 1Greece 1Hungary 1Ireland 1Italy 1Latvia 1Lithuania 1Luxembourg 1Malta 1Netherlands 1Poland 1Portugal 1Romania 1Russian Federation 1Slovakia 1Slovenia 1Spain 1Sweden 1Switzerland 1United Kingdom of Great Britain and Northern Ireland 1

Table 184 Foreign jurisdictions' commercial interests affected by Niger’s state measures

No measures have been reported for this jurisdiction

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Table 185 Implemented measures that harm Niger’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 5 35.7%Bail out/state aid measure 3 21.4%Export taxes or restriction 3 21.4%Trade finance 2 14.3%Public procurement 1 7.2%Total 14 100.0%

Table 186 Niger’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Nigeria

Table 187 Foreign state measures affecting Nigeria’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Nigeria’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Nigeria’s 39 36commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Nigeria’s 7 6commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Nigeria’s commercial interests or(ii) that have been announced but not implemented 11 9and which almost certainly discriminateagainst Nigeria’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 21 21against Nigeria’s interests [3]

Total number of implemented measures affecting 32 31Nigeria’s commercial interests

Total number of pending foreign measures likely to affect 7 5Nigeria’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Nigeria’s 6 4foreign commercial interests

Total number of trading partners that have imposed measures 40 40that harm Nigeria’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Nigeria" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

NNIIGG

EERRIIAA

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Table 188 Nigeria’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Nigeria’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Nigeria’s measures affecting other 14 14jurisdictions’ commercial interests

Total number of Nigeria’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 2 2commercial interests [1]

Total number of Nigeria’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 2 2and which almost certainly discriminateagainst foreign interests [2]

Total number of Nigeria’s measures that have been implemented and which almost certainly discriminate 10 10against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Nigeria that harm foreign commerical 7 7interests

Total number of 2-digit sectors affected by measures implemented by Nigeria that harm foreign commerical 5 5interests

Total number of trading partners affected by measures 29 29implemented by Nigeria that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Nigeria" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 189 Foreign jurisdictions implementing measures affecting Nigeria’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

Indonesia 4India 3Argentina 2Germany 2Ireland 2Republic of Korea 2Russian Federation 2United Kingdom of Great Britain and Northern Ireland 2Austria 1Belarus 1Belgium 1Bolivia 1Bulgaria 1China 1Cyprus 1Czech Republic 1Denmark 1Egypt 1Estonia 1European Communities 1Finland 1France 1Greece 1Hungary 1Italy 1Japan 1Latvia 1Lithuania 1Luxembourg 1Malaysia 1Malta 1Netherlands 1Poland 1Portugal 1Romania 1Slovakia 1Slovenia 1Spain 1Sweden 1Thailand 1

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Table 192 Implemented measures that harm Nigeria’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 9 33.3%Export taxes or restriction 6 22.2%Export subsidy 4 14.9%Non tariff barrier (not otherwise specified) 2 7.4%Tariff measure 2 7.4%Trade finance 2 7.4%Investment measure 1 3.7%Migration measure 1 3.7%Total 27 100.0%

Table 191 Foreign jurisdictions' commercial interests affected by Nigeria's state measures

Foreign jurisdictions affected Number of measures.

Belgium 3Brazil 3France 3Germany 3United States of America 3China 2India 2Israel 2Japan 2Netherlands 2Republic of Korea 2South Africa 2Spain 2United Arab Emirates 2Albania 1Algeria 1Antigua and Barbuda 1Australia 1Austria 1Barbados 1Belize 1Botswana 1Egypt 1Italy 1Russian Federation 1Swaziland 1Turkey 1Ukraine 1United Kingdom of Great Britain and Northern Ireland 1

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EERRIIAA

Table 192 Nigeria's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 3 20.0%Non tariff barrier (not otherwise specified) 3 20.0%Tariff measure 3 20.0%Import ban 2 13.3%Local content requirement 2 13.3%Competitive devaluation 1 6.7%Public procurement 1 6.7%Total 15 100.0%

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Rwanda

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Table 193 Foreign state measures affecting Rwanda’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Rwanda’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Rwanda’s 15 14commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Rwanda’s 5 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Rwanda’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Rwanda’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 6 6against Rwanda’s interests [3]

Total number of implemented measures affecting 12 11Rwanda’s commercial interests

Total number of pending foreign measures likely to affect 3 3Rwanda’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Rwanda’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 6 6that harm Rwanda’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Rwanda" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 194 Rwanda’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Rwanda’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Rwanda’s measures affecting other 3 3jurisdictions’ commercial interests

Total number of Rwanda’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 2 2commercial interests [1]

Total number of Rwanda’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Rwanda’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Rwanda that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Rwanda that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Rwanda that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Rwanda" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 195 Foreign jurisdictions implementing measures affecting Rwanda’s commercialinterests

Foreign jurisdictions implementing measures Number of measures

Angola 1Belgium 1China 1Egypt 1Indonesia 1Russian Federation 1

Table 197 Implemented measures that harm Rwanda’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 3 30.0%Bail out /state aid measure 1 10.0%Export subsidy 1 10.0%Import subsidy 1 10.0%Public procurement 1 10.0%Sanitary and Phytosanitary measure 1 10.0%Trade finance 1 10.0%Total 10 100.0%

Table 198 Rwanda's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 1 50.0%Tariff measure 1 50.0%Total 2 100.0%

Table 196 Foreign jurisdictions' commercial interests affected by Rwanda’s state measures

No measures have been reported for this jurisdiction

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Sao Tome and Principe

Table 199 Foreign state measures affecting Sao Tome and Principe’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Sao Tome and Principe’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Sao Tome and Principe’s 9 9commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Sao Tome and Principe’s 3 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Sao Tome and Principe’s commercial interests or(ii) that have been announced but not implemented 2 2and which almost certainly discriminateagainst Sao Tome and Principe’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 4 4against Sao Tome and Principe’s interests [3]

Total number of implemented measures affecting 9 9Sao Tome and Principe’s commercial interests

Total number of pending foreign measures likely to affect 0 0Sao Tome and Principe’ss commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Sao Tome and Principe’s 0 0foreign commercial interests

Total number of trading partners that have imposed measures 4 4that harm Sao Tome and Principe’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Sao Tome and Principe" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

SSAAOO

TTOOMM

EEAANN

DDPPRR

IINNCCII

PPEE

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Table 200 Sao Tome and Principe’s state measures affecting other jurisdictions' commercialinterests

Summary statistic of Sao Tome and Principe’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Sao Tome and Principe’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Sao Tome and Principe’s measures found to benefit or involve no change in the treatment of other 0 0jurisdictions’ commercial interests [1]

Total number of Sao Tome and Principe’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Sao Tome and Principe’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Sao Tome and Principe that harm foreign 0 0commerical interests

Total number of 2-digit sectors affected by measures implemented by Sao Tome and Principe that harm foreign 0 0commerical interests

Total number of trading partners affected by measures 0 0implemented by Sao Tome and Principe that harm foreign commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Sao Tome and Principe" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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PPEE

Table 201 Foreign jurisdictions implementing measures affecting Sao Tome and Principe’scommercial interests

Foreign jurisdictions implementing measures Number of measures.

Argentina 1China 1Indonesia 1Portugal 1

Table 203 Implemented measures that harm Sao Tome and Principe’s commercial interests, bytype

Type of measure Number of measures As percentage of measures

Export taxes or restriction 2 33.3%Bail out/state aid measure 1 16.6%Export subsidy 1 16.6%Migration measure 1 16.6%Trade finance 1 16.6%Total 6 100.0%

Table 202 Foreign jurisdictions' commercial interests affected by Sao Tome and Principe’s statemeasures

No measures have been reported for this jurisdiction

Table 204 Sao Tome and Principe’s implemented measures that harm foreign commercialinterests, by type

No measures have been reported for this jurisdiction

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Senegal

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Table 205 Foreign state measures affecting Senegal’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Senegal’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Senegal’s 37 35commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Senegal’s 6 5commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Senegal’s commercial interests or(ii) that have been announced but not implemented 9 8and which almost certainly discriminateagainst Senegal’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 22 22against Senegal’s interests [3]

Total number of implemented measures affecting 32 31Senegal’s commercial interests

Total number of pending foreign measures likely to affect 5 4Senegal’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Senegal’s 5 4foreign commercial interests

Total number of trading partners that have imposed measures 39 39that harm Senegal’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Senegal" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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EEGGAALL

Table 206 Senegal’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Senegal’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Senegal’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Senegal’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Senegal’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Senegal’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Senegal that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Senegal that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Senegal that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Senegal" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 207 Foreign jurisdictions implementing measures affecting Senegal’s commercial interests

Foreign jurisdictions implementing measures Number of measures

Indonesia 5France 4India 3Belgium 2Egypt 2Spain 2Argentina 1Austria 1Bulgaria 1China 1Cyprus 1Czech Republic 1Denmark 1Estonia 1European Communities 1Finland 1Germany 1Greece 1Hungary 1Ireland 1Italy 1Latvia 1Lithuania 1Luxembourg 1Malaysia 1Malta 1Mauritania 1Netherlands 1Poland 1Portugal 1Republic of Korea 1Romania 1Slovakia 1Slovenia 1Sweden 1Switzerland 1Thailand 1United Kingdom of Great Britain and Northern Ireland 1United States of America 1

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EEGGAALL

Table 209 Implemented measures that harm Senegal’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 9 31.0%Export subsidy 7 24.1%Export taxes or restriction 5 17.2%Trade finance 2 6.9%Consumption subsidy 1 3.4%Import subsidy 1 3.4%Local content requirement 1 3.4%Non tariff barrier (not otherwise specified) 1 3.4%State-controlled company 1 3.4%Tariff measure 1 3.4%Total 29 100.0%

Table 208 Foreign jurisdictions' commercial interests affected by Senegal’s state measures

No measures have been reported for this jurisdiction

Table 210 Senegal’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Seychelles

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Table 211 Foreign state measures affecting Seychelles’ commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Seychelles’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Seychelles’ 11 11commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Seychelles’ 3 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Seychelles’ commercial interests or(ii) that have been announced but not implemented 5 5and which almost certainly discriminateagainst Seychelles’ interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 3 3against Seychelles’ interests [3]

Total number of implemented measures affecting 8 8Seychelles’ commercial interests

Total number of pending foreign measures likely to affect 3 3Seychelles’ commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Seychelles 3 3foreign commercial interests

Total number of trading partners that have imposed measures 3 3that harm Seychelles’ commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Seychelles" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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HHEELL

LLEESS

Table 212 Seychelles’ state measures affecting other jurisdictions' commercial interests

Summary statistic of Seychelles’ state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Seychelles’ measures affecting other 0 0jurisdictions’ commercial interests

Total number of Seychelles’ measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Seychelles’ measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Seychelles’ measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Seychelles that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Seychelles that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Seychelles that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Seychelles" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 213 Foreign jurisdictions implementing measures affecting Seychelles’ commercialinterests

Foreign jurisdictions implementing measures Number of measures

China 1Indonesia 1Japan 1

Table 215 Implemented measures that harm Seychelles’ commercial interests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 2 40.0%Export subsidy 1 20.0%Non tariff barrier (not elsewhere specified) 1 20.0%Trade finance 1 20.0%Total 5 100.0%

Table 214 Foreign jurisdictions' commercial interests affected by Seychelles’ state measures

No measures have been reported for this jurisdiction

Table 216 Seychelles’ implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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Sierra Leone

Table 217 Foreign state measures affecting Sierra Leone’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Sierra Leone’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Sierra Leone’s 11 10commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Sierra Leone’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Sierra Leone’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Sierra Leone’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 3 3against Sierra Leone’s interests [3]

Total number of implemented measures affecting 10 9Sierra Leone’s commercial interests

Total number of pending foreign measures likely to affect 1 1Sierra Leone’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Sierra Leone’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 3 3that harm Sierra Leone’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Sierra Leone" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

SSIIEERR

RRAALLEE

OONN

EE

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Table 218 Sierra Leone’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Sierra Leone’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Sierra Leone’s measures affecting other 3 3jurisdictions’ commercial interests

Total number of Sierra Leone’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Sierra Leone’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Sierra Leone’s measures that have been implemented and which almost certainly discriminate 3 3against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Sierra Leone that harm foreign commerical 17 17interests

Total number of 2-digit sectors affected by measures implemented by Sierra Leone that harm foreign commerical 8 8interests

Total number of trading partners affected by measures 5 5implemented by Sierra Leone that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Sierra Leone" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 219 Foreign jurisdictions implementing measures affecting Sierra Leone's commercialinterests

Foreign jurisdictions implementing measures Number of measures.

Argentina 1Belgium 1Ukraine 1

Table 220 Foreign jurisdictions' commercial interests affected by Sierra Leone's state measures

Foreign jurisdictions affected Number of measures.

Algeria 1China 1Estonia 1Republic of Korea 1Turkey 1

Table 221 Implemented measures that harm Sierra Leone's commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 3 50.0%Consumption subsidy 1 16.7%Export subsidy 1 16.7%Trade finance 1 16.7%Total 6 100.0%

Table 222 Sierra Leone's implemented measures that harm foreign commercial interests, bytype

Type of measure Number of measures As percentage of measures

Export taxes or restriction 2 66.6%Tariff measure 1 33.3%Total 3 100.0%

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Somalia

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Table 223 Foreign state measures affecting Somalia’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Somalia’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Somalia’s 10 10commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Somalia’s 4 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Somalia’s commercial interests or(ii) that have been announced but not implemented 3 3and which almost certainly discriminateagainst Somalia’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 3 3against Somalia’s interests [3]

Total number of implemented measures affecting 9 9Somalia’s commercial interests

Total number of pending foreign measures likely to affect 1 1Somalia’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Somalia’s 1 1foreign commercial interests

Total number of trading partners that have imposed measures 3 3that harm Somalia’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Somalia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 224 Somalia’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Somalia’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Somalia’s measures affecting other 0 0jurisdictions’ commercial interests

Total number of Somalia’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Somalia’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Somalia’s measures that have been implemented and which almost certainly discriminate 0 0against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Somalia that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Somalia that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Somalia that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Somalia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 225 Foreign jurisdictions implementing measures affecting Somalia’s commercial interests

Foreign jurisdictions implementing measures Number of measures

Algeria 1Germany 1India 1

Table 227 Implemented measures that harm Somalia’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out/state aid measure 1 20.0%Export subsidy 1 20.0%Investment measure 1 20.0%Non tariff barrier (not elsewhere specified) 1 20.0%Trade finance 1 20.0%Total 5 100.0%

Table 226 Foreign jurisdictions' commercial interests affected by Somalia’s state measures

No measures have been reported for this jurisdiction

Table 228 Somalia’s implemented measures that harm foreign commercial interests, by type

No measures have been reported for this jurisdiction

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South Africa

Table 229 Foreign state measures affecting South Africa’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting South Africa’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting South Africa’s 145 136commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of South Africa’s 26 25commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

South Africa’s commercial interests or(ii) that have been announced but not implemented 39 34and which almost certainly discriminateagainst South Africa’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 80 77against South Africa’s interests [3]

Total number of implemented measures affecting 122 117South Africa’s commercial interests

Total number of pending foreign measures likely to affect 23 19South Africa’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm South Africa’s 20 16foreign commercial interests

Total number of trading partners that have imposed measures 49 49that harm South Africa’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"South Africa" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 230 South Africa’s state measures affecting other jurisdictions' commercial interests

Summary statistic of South Africa’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of South Africa’s measures affecting other 14 10jurisdictions’ commercial interests

Total number of South Africa’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 4 4commercial interests [1]

Total number of South Africa’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 6 4and which almost certainly discriminateagainst foreign interests [2]

Total number of South Africa’s measures that have been implemented and which almost certainly discriminate 4 2against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by South Africa that harm foreign commerical 3 1interests

Total number of 2-digit sectors affected by measures implemented by South Africa that harm foreign commerical 2 1interests

Total number of trading partners affected by measures 2 1implemented by South Africa that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"South Africa" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 231 Foreign jurisdictions implementing measures affecting South Africa’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

Indonesia 10Russian Federation 9Argentina 8France 8India 7Spain 6United Kingdom of Great Britain and Northern Ireland 5Belgium 4Germany 4Ireland 4Portugal 4Austria 3Brazil 3Bulgaria 3China 3Cyprus 3Czech Republic 3Denmark 3Estonia 3European Communities 3Finland 3Greece 3Hungary 3Italy 3Japan 3Latvia 3Lithuania 3Luxembourg 3Malta 3Netherlands 3Poland 3Romania 3Slovakia 3Slovenia 3Sweden 3Switzerland 3United States of America 3Australia 2Nigeria 2Republic of Korea 2Uganda 2Viet Nam 2Egypt 1Malaysia 1Mexico 1Thailand 1Ukraine 1United Republic of Tanzania 1Zambia 1

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Table 234 South Africa's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Tariff measure 3 50.0%Trade defence measure (AD, CVD, safeguard) 2 33.3%Bail out/state aid measure 1 16.6%Total 6 100.0%

Country-by-Country Reports

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Table 232 Foreign jurisdictions' commercial interests affected by South Africa's state measures

Foreign jurisdictions affected Number of measures

China 3Malaysia 1

Table 233 Implemented measures that harm South Africa’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 26 21.3%Tariff measure 22 18.0%Export subsidy 13 10.7%Export taxes or restriction 11 9.0%Non tariff barrier (not otherwise specified) 9 7.4%Public procurement 7 5.7%Local content requirement 5 4.1%Investment measure 4 3.3%Migration measure 4 3.3%Trade defence measure (AD, CVD, safeguard) 4 3.3%Consumption subsidy 3 2.5%Import ban 3 2.5%Sanitary and Phytosantiary Measure 3 2.5%State-controlled company 2 1.6%Trade finance 2 1.6%Import subsidy 1 0.8%Other service sector measure 1 0.8%Quota (including tariff rate quotas) 1 0.8%Sub-national government measure 1 0.8%Total 122 100.0%

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Sudan

Table 235 Foreign state measures affecting Sudan’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Sudan’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Sudan’s 27 26commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Sudan’s 5 5commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Sudan’s commercial interests or(ii) that have been announced but not implemented 7 6and which almost certainly discriminateagainst Sudan’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 15 15against Sudan’s interests [3]

Total number of implemented measures affecting 23 23Sudan’s commercial interests

Total number of pending foreign measures likely to affect 4 3Sudan’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Sudan’s 4 3foreign commercial interests

Total number of trading partners that have imposed measures 9 9that harm Sudan’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Sudan" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 236 Sudan’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Sudan’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Sudan’s measures affecting other 2 2jurisdictions’ commercial interests

Total number of Sudan’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Sudan’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Sudan’s measures that have been implemented and which almost certainly discriminate 2 2against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Sudan that harm foreign commerical 1 1interests

Total number of 2-digit sectors affected by measures implemented by Sudan that harm foreign commerical 1 1interests

Total number of trading partners affected by measures 2 2implemented by Sudan that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Sudan" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 237 Foreign jurisdictions implementing measures affecting Sudan’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

Egypt 3India 3Argentina 2Indonesia 2Belgium 1Bolivia 1Germany 1Russian Federation 1United Arab Emirates 1

Table 238 Foreign jurisdictions' commercial interests affected by Sudan's state measures

Foreign jurisdictions affected Number of measures.

Egypt 1Saudi Arabia 1

Table 239 Implemented measures that harm Sudan’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 4 22.2%Export taxes or restriction 4 22.2%Export subsidy 3 16.7%Tariff measure 3 16.7%Trade finance 2 11.1%Import subsidy 1 5.6%Migration measure 1 5.6%Total 18 100.0%

Table 240 Sudan's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Sanitary and Phytosanitary measure 1 50.0%Tariff measure 1 50.0%Total 2 100.0%

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United Republic of Tanzania

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Table 241 Foreign state measures affecting United Republic of Tanzania’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting United Republic of Tanzania’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting United Republic of Tanzania’s 35 34commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of United Republic of 6 5Tanzania’s commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

United Republic of Tanzania’s commercial interests or(ii) that have been announced but not implemented 11 11and which almost certainly discriminateagainst United Republic of Tanzania’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 18 18against United Republic of Tanzania’s interests [3]

Total number of implemented measures affecting 29 28United Republic of Tanzania’s commercial interests

Total number of pending foreign measures likely to affect 6 6United Republic of Tanzania’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm United Republic of 6 6Tanzania’s foreign commercial interests

Total number of trading partners that have imposed measures 14 14that harm United Republic of Tanzania’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"United Republic of Tanzania" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 242 United Republic of Tanzania’s state measures affecting other jurisdictions'commercial interests

Summary statistic of United Republic of Tanzania’s state All measures All measures exceptmeasures affecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of United Republic of Tanzania’s measures affecting 4 4 0other jurisdictions’ commercial interests

Total number of United Republic of Tanzania’s measures found to benefit or involve no change in the treatment of other 1 1jurisdictions’ commercial interests [1]

Total number of United Republic of Tanzania’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 2 2and which almost certainly discriminateagainst foreign interests [2]

Total number of United Republic of Tanzania’s measures that have been implemented and which almost certainly 1 1discriminate against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by United Republic of Tanzania that harm foreign 0 0commerical interests

Total number of 2-digit sectors affected by measures implemented by United Republic of Tanzania that harm foreign 0 0commerical interests

Total number of trading partners affected by measures 4 4implemented by xxxx that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"United Republic of Tanzania" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 243 Foreign jurisdictions implementing measures affecting United Republic of Tanzania’scommercial interests

Foreign jurisdictions implementing measures Number of measures

Indonesia 4India 3Russian Federation 2Angola 1Belgium 1Bolivia 1China 1Egypt 1Japan 1Kenya 1Malaysia 1Republic of Korea 1Thailand 1Zambia 1

Table 244 Foreign jurisdictions' commercial interests affected by United Republic of Tanzania'sstate measures

Foreign jurisdictions affected Number of measures

Kuwait 1Luxembourg 1South Africa 1United Arab Emirates 1

Table 245 Implemented measures that harm United Republic of Tanzania's commercialinterests, by type

Type of measure Number of measures As percentage of measures

Export taxes or restriction 7 26.92%Bail out / state aid measure 5 19.23%Tariff measure 5 19.23%Export subsidy 3 11.54%Trade finance 2 7.69%Import subsidy 1 3.85%Non tariff barrier (not otherwise specified) 1 3.85%Public procurement 1 3.85%Sanitary and Phytosantiary Measure 1 3.85%Total 29 100.0%

Table 246 United Republic of Tanzania's implemented measures that harm foreign commercialinterests, by type

Type of measure Number of measures As percentage of measures

Investment measure 2 50.0%Non tariff barrier (not otherwise specified) 1 25.0%Tariff measure 1 25.0%Total 4 100.0%

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Togo

Table 247 Foreign state measures affecting Togo’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Togo’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Togo’s 22 21commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Togo’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Togo’s commercial interests or(ii) that have been announced but not implemented 4 4and which almost certainly discriminateagainst Togo’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 14 14against Togo’s interests [3]

Total number of implemented measures affecting 20 19Togo’s commercial interests

Total number of pending foreign measures likely to affect 2 2Togo’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Togo’s 2 2foreign commercial interests

Total number of trading partners that have imposed measures 35 35that harm Togo’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Togo" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 248 Togo’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Togo’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Togo’s measures affecting other 1 1jurisdictions’ commercial interests

Total number of Togo’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 0 0commercial interests [1]

Total number of Togo’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Togo’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Togo that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Togo that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 0 0implemented by Togo that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Togo" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 249 Foreign jurisdictions implementing measures affecting Togo’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

Spain 4India 3Belgium 2France 2Argentina 1Austria 1Belarus 1Bulgaria 1China 1Cyprus 1Czech Republic 1Denmark 1Estonia 1European Communities 1Finland 1Germany 1Ghana 1Greece 1Hungary 1Indonesia 1Ireland 1Italy 1Latvia 1Lithuania 1Luxembourg 1Malta 1Netherlands 1Poland 1Portugal 1Romania 1Russian Federation 1Slovakia 1Slovenia 1Sweden 1United Kingdom of Great Britain and Northern Ireland 1

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Table 252 Togo's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Non tariff barrier (not elsewhere specified) 1 100.0%Total 1 100.0%

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Table 251 Implemented measures that harm Togo’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 5 26.3%Export subsidy 4 21.1%Export taxes or restriction 3 15.8%Public procurement 2 10.5%Trade finance 2 10.5%Non tariff barrier (not otherwise specified) 1 5.3%Other service sector measure 1 5.3%Tariff measure 1 5.3%

Total 19 100.0%

Table 250 Foreign jurisdictions' commercial interests affected by Togo’s state measures

No measures have been reported for this jurisdiction

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Uganda

Table 253 Foreign state measures affecting Uganda’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Uganda’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Uganda’s 31 30commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Uganda’s 5 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Uganda’s commercial interests or(ii) that have been announced but not implemented 9 9and which almost certainly discriminateagainst Uganda’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 17 17against Uganda’s interests [3]

Total number of implemented measures affecting 27 26Uganda’s commercial interests

Total number of pending foreign measures likely to affect 4 4Uganda’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Uganda’s 4 4foreign commercial interests

Total number of trading partners that have imposed measures 39 39that harm Uganda’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Uganda" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 254 Uganda’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Uganda’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Uganda’s measures affecting other 4 4jurisdictions’ commercial interests

Total number of Uganda’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 2 2commercial interests [1]

Total number of Uganda’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 0 0and which almost certainly discriminateagainst foreign interests [2]

Total number of Uganda’s measures that have been implemented and which almost certainly discriminate 2 2against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Uganda that harm foreign commerical 6 6interests

Total number of 2-digit sectors affected by measures implemented by Uganda that harm foreign commerical 3 3interests

Total number of trading partners affected by measures 11 11implemented by Uganda that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Uganda" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 255 Foreign jurisdictions implementing measures affecting Uganda’s commercial interests

Foreign jurisdictions implementing measures Number of measures.

India 3Indonesia 3Switzerland 3Belgium 2Angola 1Austria 1Bulgaria 1China 1Cyprus 1Czech Republic 1Denmark 1Egypt 1Estonia 1European Communities 1Finland 1France 1Germany 1Greece 1Hungary 1Ireland 1Italy 1Japan 1Latvia 1Lithuania 1Luxembourg 1Malaysia 1Malta 1Netherlands 1Poland 1Portugal 1Romania 1Russian Federation 1Slovakia 1Slovenia 1Spain 1Sweden 1Thailand 1United Kingdom of Great Britain and Northern Ireland 1United States of America 1

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Table 258 Uganda's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Import ban 1 50.0%Non tariff barrier (not elsewhere specified) 1 50.0%Total 2 100.0%

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Table 256 Foreign jurisdictions' commercial interests affected by Uganda's state measures

Foreign jurisdictions affected Number of measures

Japan 2South Africa 2United Arab Emirates 2United Kingdom of Great Britain and Northern Ireland 2China 1Kenya 1Netherlands 1Singapore 1Thailand 1United States of America 1

Table 257 Implemented measures that harm Uganda’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 8 30.8%Export taxes or restriction 6 23.1%Bail out / state aid measure 4 15.4%Tariff measure 2 7.7%Trade finance 2 7.7%Import subsidy 1 3.8%Local content requirement 1 3.8%Non tariff barrier (not otherwise specified) 1 3.8%Public procurement 1 3.8%Sanitary and Phytosantiary Measure 1 3.8%Total 26 100.0%

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Zambia

Table 259 Foreign state measures affecting Zambia’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Zambia’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Zambia’s 26 25commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Zambia’s 5 4commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Zambia’s commercial interests or(ii) that have been announced but not implemented 7 7and which almost certainly discriminateagainst Zambia’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 14 14against Zambia’s interests [3]

Total number of implemented measures affecting 23 22Zambia’s commercial interests

Total number of pending foreign measures likely to affect 3 3Zambia’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Zambia’s 3 3foreign commercial interests

Total number of trading partners that have imposed measures 37 37that harm Zambia’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Zambia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 260 Zambia’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Zambia’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Zambia’s measures affecting other 3 3jurisdictions’ commercial interests

Total number of Zambia’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 1 1commercial interests [1]

Total number of Zambia’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 1 1and which almost certainly discriminateagainst foreign interests [2]

Total number of Zambia’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Zambia that harm foreign commerical 1 1interests

Total number of 2-digit sectors affected by measures implemented by Zambia that harm foreign commerical 1 1interests

Total number of trading partners affected by measures 10 10implemented by Zambia that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Zambia" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table x261 Foreign jurisdictions implementing measures affecting Zambia’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

European Communities 2Finland 2France 2Germany 2Greece 2Hungary 2Ireland 2Italy 2Latvia 2Lithuania 2Luxembourg 2Malta 2Netherlands 2Poland 2Portugal 2Romania 2Slovakia 2Slovenia 2Spain 2Sweden 2United Kingdom of Great Britain and Northern Ireland 2Argentina 1China 1Egypt 1Malaysia 1Russian Federation 1Thailand 1United States of America 1

Table x262 Foreign jurisdictions' commercial interests affected by Zambia's state measures

Foreign jurisdictions affected Number of measures.

British Virgin Islands 1France 1India 1Mozambique 1Portugal 1South Africa 1Untied Arab Emirates 1United Kingdom of Great Britain and Northern Ireland 1United Republic of Tanzania 1Zimbabwe 1

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Table 264 Zambia's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Tariff measure 2 50.0%Export taxes or restriction 1 25.0%Investment measure 1 25.0%Total 4 100.0%

Country-by-Country Reports

283

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Table 263 Implemented measures that harm Zambia's commercial interests, by type

Type of measure Number of measures As percentage of measures

Export subsidy 6 30.0%Bail out / state aid measure 5 25.0%Export taxes or restriction 4 20.0%Trade finance 2 10.0%Import subsidy 1 5.0%Public procurement 1 5.0%Tariff measure 1 5.0%Total 20 100.0%

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Zimbabwe

Table 265 Foreign state measures affecting Zimbabwe’s commercial interests

Summary statistic of foreign state measures All measures All measures exceptaffecting Zimbabwe’s commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of measures affecting Zimbabwe’s 29 28commercial interests

Total number of foreign measures found to benefit or involve no change in the treatment of Zimbabwe’s 4 3commercial interests [1]

Total number of foreign measures that (i) have been implemented and are likely to harm

Zimbabwe’s commercial interests or(ii) that have been announced but not implemented 9 9and which almost certainly discriminateagainst Zimbabwe’s interests [2]

Total number of foreign measures that have been implemented and which almost certainly discriminate 16 16against Zimbabwe’s interests [3]

Total number of implemented measures affecting 24 23Zimbabwe’s commercial interests

Total number of pending foreign measures likely to affect 5 5Zimbabwe’s commercial interests.

Total number of pending foreign measures that, if implemented, are likely to harm Zimbabwe’s 5 5foreign commercial interests

Total number of trading partners that have imposed measures 37 37that harm Zimbabwe’s commercial interests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Zimbabwe" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 266 Zimbabwe’s state measures affecting other jurisdictions' commercial interests

Summary statistic of Zimbabwe’s state measures All measures All measures exceptaffecting other jurisdictions’ commercial interests anti-dumping, anti-subsidy,

and safeguard actions.

Total number of Zimbabwe’s measures affecting other 7 7jurisdictions’ commercial interests

Total number of Zimbabwe’s measures found to benefit or involve no change in the treatment of other jurisdictions’ 4 4commercial interests [1]

Total number of Zimbabwe’s measures that (i) have been implemented and are likely to harmcommercial interests or

(ii) that have been announced but not implemented 2 2and which almost certainly discriminateagainst foreign interests [2]

Total number of Zimbabwe’s measures that have been implemented and which almost certainly discriminate 1 1against foreign interests [3]

Total number of 4-digit tariff lines affected by measures implemented by Zimbabwe that harm foreign commerical 0 0interests

Total number of 2-digit sectors affected by measures implemented by Zimbabwe that harm foreign commerical 0 0interests

Total number of trading partners affected by measures 1 1implemented by Zimbabwe that harm foreign commercialinterests

Note: As the Global Trade Alert database is updated frequently, the above data will change. Updates on the numbers in this table can be found by going to http://www.globaltradealert.org/site-statistics, and selecting"Zikbabwe" in the "Affecting Trading Partner" and clicking the button "Get Stats".

[1] These measures are classified "green" in the Global Trade Alert database.[2] These measures are classified "amber" in the Global Trade Alert database.[3] These measures are classified "red" in the Global Trade Alert database.

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Table 267 Foreign jurisdictions implementing measures affecting Zimbabwe’s commercialinterests

Foreign jurisdictions implementing measures Number of measures.

India 3Indonesia 3Spain 3United Kingdom of Great Britain and Northern Ireland 3Austria 2Belgium 2Bulgaria 2China 2Cyprus 2Czech Republic 2Denmark 2Estonia 2European Communities 2Finland 2France 2Germany 2Greece 2Hungary 2Ireland 2Italy 2Latvia 2Lithuania 2Luxembourg 2Malta 2Netherlands 2Poland 2Portugal 2Romania 2Slovakia 2Slovenia 2Sweden 2Egypt 1Malaysia 1Russian Federation 1Thailand 1United States of America 1Zambia 1

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Table 270 Zimbabwe's implemented measures that harm foreign commercial interests, by type

Type of measure Number of measures As percentage of measures

Sanitary and Phytosanitary measure 1 100.0%Total 1 100.0%

Country-by-Country Reports

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Table 268 Foreign jurisdictions' commercial interests affected by Zimbabwe's state measures

Foreign jurisdictions affected Number of measures

Mozambique 12

Table 269 Implemented measures that harm Zimbabwe’s commercial interests, by type

Type of measure Number of measures As percentage of measures

Bail out / state aid measure 5 20.8%Export subsidy 5 20.8%Export taxes or restriction 5 20.8%Tariff measure 3 12.5%Public procurement 2 8.3%Trade finance 2 8.3%Import subsidy 1 4.2%Local content requirement 1 4.2%Total 24 100.0%

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www.cepr.org

Centre for Economic Policy Research53-56 GREAT SUTTON STREET • LONDON EC1V 0DG • TEL: +44 (0)20 7183 8801 • FAX: +44 (0)20 7183 8820 • EMAIL: [email protected]

With the return to economic growth of many industrialised economies ineither late 2009 or the first half of 2010, combined with sustained expansionsin the emerging market economies, came the hope that protectionist pressures would ease in the world economy through 2010. If anything, theperiod since our last report was published in January 2010 has been one of thebusiest for the Global Trade Alert team.

Nothing short of a mountain of evidence has been uncovered in recentmonths concerning state measures announced after the start of our reportingwindow, November 2008. A total of 247 new reports on implemented orannounced and pending state measures have been added to the Global TradeAlert database since our last report was published, expanding the total number of reports to 960. This 40% expansion in the GTA's database providesfor a more comprehensive assessment of contemporary protectionism and, as this Report makes clear, some of our previous findingshave been revised.

Like our two previous reports, the fifth Report also has a regional focus. Thistime our focus is on Sub-Saharan Africa, whose development significance isevident. What may be less well known is that Sub-Saharan African govern-ments have not resorted to protectionism on the scale of industrialised countries and some developing country peers during the recent global economic downturn. Sub-Saharan Africa is also the recipient of preferentialaccess to the markets of many industrialised countries. This Report containstwo papers on the likely reforms to the United States and European Uniontrade preference regimes and their potential implications for Sub-SaharanAfrica. These papers will also be of interest to those following the West's policies towards Sub-Saharan Africa.

Africa Resists theProtectionist Temptation

The 5th GTA Report

A Focus on Sub-Saharan Africa

Edited by Simon J. Evenett

Africa Resists the Protectionist Temptation The 5th G

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