1 inter-agency "data day"18-19 may 2009 at wto geneva, 18 th may 2009 united nations...
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Inter-Agency "Data Day"18-19 May 2009at WTO
Geneva, 18th May 2009
United Nations Conference on Trade and DevelopmentUnited Nations Conference on Trade and Development
Ralf PetersDITC
UNCTAD, Geneva
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Agriculture Trade Issues
“Three Pillars”
Domestic Support• OTDS and
AMS
• de minimis
• Blue box
• Green Box
Market Access• Bound tariffs
Applied tariffsTRQ
• Preferences
• SeP, SP and SSM
Export Subsidies
• Scheduled
• Export credits
• STEs
• Food aid
• Non-tariff measures such as TBT and SPS
• Production, employment and income
• Food security and rural livelihoods
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Examples for important analytical questions (1)
Using one or two data bases, no modelling
• What will be the changes in bound and, hence, applied tariffs
resulting from new commitments from the Doha round?• What are the changes in quotas? • What will be the Product-Specific AMS Limits?
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Examples for important analytical questions (2)
Combining more data sets and modelling
1. What is the impact of trade policy changes on exports, imports
and welfare?
2. Is domestic support trade distorting?
3. What is the impact of preference erosion on beneficiaries?
4. How do market access and market entry conditions differ?
5. How do changes in food prices affect rural poverty?
6. Is food security linked to self-sufficiency?
7. What is the impact of investments in agricultural production in
developing countries?
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Example 1:AMS product specific caps
0
400
800
1200
1600
Base AMS New ceiling
Two different provisions
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Supporting Table DS:4
Current total AMS for product x: 1,049
Example 1:AMS product specific caps
WORLD TRADE
ORGANIZATION
G/AG/N/country/number 17 March ....
(…)
Committee on Agriculture Original: English
NOTIFICATION
http://docsonline.wto.org/
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Example 2: Illustrative list of indicators Example 2: Illustrative list of indicators for designation of SPfor designation of SP
1 Whether product is staple or part of the basic food basket 6 % women producers
1 % contribution to Caloric intake 6 % of production in disadvantaged regions
2 Domestic production as % of domestic consumption
7 % of value of production from the product
3 Domestic consumption as % of total world exports
7 % of agriculture income of households from the product
3 % exported by the largest exporting country
8 % of product processed
4 % domestic production on small land holdings
8 % of value addition to the product
4 % of small land holdings producing the product
9 % of customs tariff revenue
5 % of population/labour force employed in the production
10 % of food expenditure on the product
6 % low income farmers 10 % of income spent on the product
6 % of resource poor farmers 11 AMS or blue box subsidies and exported
6 % of subsistence farmers 12 Productivity per worker of the product
6 % vulnerable communities 12 Productivity per hectare of the product
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Example 2: SP Indicators: Contribution to caloric
intake• FAO provides data on the caloric intake in kcal by product• Data is available for 124 products at the level of the FAO
classification• Example: Apples, Maize, Potatoes, Wheat, Sugar cane• There is no easy one-to-one match with the HS classification used
in WTO: but a (complex) concordance table exists• Calculate share of contribution to total caloric intake for each
product• If this share is higher than [10 %] the product contributes
significantly to caloric intake AND is thus a candidate for SP
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http://faostat.fao.org
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Example 2: SP Indicators:Contribution to caloric intake
Share of products that each contributes at least 10 per cent (5 per cent) to the total caloric intake; Based on products for which data are available; Data source: FAOstat
Country 10 % threshold 5 % threshold Country 10 % threshold 5 % thresholdA 2.0% 5.0% Q 3.0% 4.0%B 3.0% 4.0% R 3.9% 5.9%C 2.6% 3.4% S 0.9% 4.6%D 3.3% 9.9% T 1.8% 4.4%E 2.9% 4.9% U 1.7% 4.3%F 1.8% 3.6% V 2.7% 4.4%G 0.9% 3.6% W 3.7% 4.9%H 2.7% 4.5% X 2.9% 5.8%I 1.0% 5.2% Y 2.6% 4.3%J 2.0% 4.9% Z 2.7% 4.4%K 1.8% 6.3% AA 0.9% 4.5%L 2.0% 4.0% AB 1.9% 3.9%M 2.5% 3.4% AC 3.3% 4.4%N 3.8% 5.8% AD 1.9% 3.8%O 2.9% 4.8% AE 3.6% 7.1%P 1.9% 5.8% AF 1.8% 3.5%
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Example 3: Possible Change in World Prices from Doha Round
0
2
4
6
8
10
12
14
%
Liv
esto
ckB
ovin
e m
eat
Sh
eep
mea
tP
ig m
eat
Pou
ltry
Milk
, con
c.B
utt
erC
hee
seH
ides
& s
kin
sW
hea
tR
ice
Bar
ley
Mai
zeS
orgh
um
Su
gar,
raw
Su
gar,
ref
ined
Cof
fee,
gre
enC
offe
e, p
roc.
Coc
oa b
ean
sC
ocoa
, pro
c.T
obac
co le
aves
Oils
eed
s, t
emp
.O
ilsee
ds,
tro
p.
Veg
etab
le o
ilsP
uls
esT
omat
oes
Roo
ts &
tu
ber
sA
pp
les
Cit
rus
fru
its
Ban
anas
Oth
er t
rop
ical
fru
its
Tea
Cot
ton
Ave
rage
Source: ATPSM simulation
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Data for agricultural tradeData SourceTrade flows UN Comtrade, USDA, Models such as GTAP,
ATPSM, WTO IDB
Production FAO, USDA, national statisticsConsumption National statistics,
USDA (International Food Consumption Patterns)
Market accessApplied tariffs Wits, UNCTAD Trains, ITC MAcMap, WTO IDBBound tariffs Wits, WTO CTSTariff rate quota AMAD, Wits
Domestic SupportAmber box, blue box, green box WTO notifications, USDA ERS
Export Subsidies WTO notifications, USDA ERSDistortions to agric. incentives World BankFood security, nutrition FAOElasticities GTAP, Wits SMART, FAO, USDASocial indicators World Bank WDI, ILOCommodity specific information e.g. ICO, IGC, UNCTAD InfocommCompetition in export markets ICT Market Access MapHousehold and community surveysIFPRI, World Bank
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Data Sources
http://comtrade.un.org/http://docsonline.wto.org/http://econ.worldbank.org/http://faostat.fao.org/http://wits.worldbank.org/witsweb/http://www.amad.org/http://www.ers.usda.gov/Data/http://www.gtap.org/http://www.ifpri.org/data/data_menu.asphttp://www.macmap.org/http://www.unctad.org/infocomm/anglais/indexen.htmhttp://www.worldbank.org/datahttp://www.wto.org/english/res_e/statis_e/Statis_e.htm