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Rogue Aid? The Determinants of China’s Aid Allocation Axel Dreher University of Heidelberg Andreas Fuchs Universities of Goettingen and Heidelberg International Political Economy Society Conference 11 November 2011

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Rogue Aid? The Determinants of China’s Aid Allocation Axel Dreher University of Heidelberg Andreas Fuchs Universities of Goettingen and Heidelberg International Political Economy Society Conference 11 November 2011. Motivation. (Re-)Emergence of non-DAC donors - PowerPoint PPT Presentation

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Page 1: Motivation

Rogue Aid?The Determinants of China’s Aid Allocation

Axel DreherUniversity of Heidelberg

Andreas FuchsUniversities of Goettingen and Heidelberg

International Political Economy Society Conference11 November 2011

Page 2: Motivation

Motivation

• (Re-)Emergence of non-DAC donors• Woods (2008): ‘silent revolution’ taking place in the world of

development assistance• China is the most important ‘new’ donor• Plenty of anecdotes• Naím (2007) characterizes development aid from China as

‘rogue aid’– Access to natural resources

– International alliances

– Support of countries with bad governance

Page 3: Motivation

Motivation

• No empirical study exists confronting the various claims about Chinese ‘rogue aid’ with data

• Why? Data on the allocation of China’s development aid are difficult to obtain (“state secret”)

• We make use of four types of aid indicators

1. We test whether China’s allocation decisions are guided by need in the recipient countries and/or by China’s national interests over five periods of China’s aid program (1956-2006)

2. We compare China’s aid allocation decisions with traditional and other emerging donors (1996-2005)

Page 4: Motivation

1. Need, merit and self-interest – Is China different?

• State Council (2011): China makes “great efforts to ensure its aid benefits as many needy people as possible.”

• In the 1980s, even the CIA (1980) confirmed that the Chinese aid program “fits the needs of the poorest LDCs.”

• Naím (2007): rogue donors as China “couldn’t care less about the long-term well-being of the of the countries they “aid””

Page 5: Motivation

1. Need, merit and self-interest – Is China different?

Aid allocation literature (Morgenthau 1962, Alesina and Dollar 2000, Neumayer 2004,…):

• Recipient needs: Aid is focused on the needy countries• Merit: Aid is given to countries with better policies (“selectivity”)• Commercial self-interests: Aid is channeled for commercial

reasons, i.e., to promote exports or extract resources• Political self-interests: Aid is given for political reasons, i.e., to

reward allies or punish enemies China’s aid is exposed to the criticism that it is driven to a higher

extent by domestic economic and political interests than development aid by traditional DAC donors

Page 6: Motivation

2. Measuring Chinese aid

(1) Aid commitments in US$ (1956-1987)– Sources: Bartke (1989), OECD (1987), CIA (1975-1984)

(2) Number of medical staff dispatched (1983-1994)– Source: China Commerce Yearbook

(3) Food aid in tons of grain equivalent (1988-2006)– Source: International Food Aid Information System

(4) Number of completed aid projects (1956-2005)– Sources: Bartke (1989), China Commerce Yearbook (AidData)

1,039

Page 7: Motivation

2. Measuring Chinese aid | Number of aid projects

• First completed aid project: Textile mill built in Thamaing (Burma) in 1956

• Last completed aid project recorded in our dataset: Teaching appliances, medical apparatus and agricultural machines provided to Colombia in 2005

• Tanzania is the single most important recipient of China’s project aid

• The single most outstanding project was the construction of the Tanzania-Zambia railway line

Page 8: Motivation

Number of aid projects (1956-1969, as % of total aid)

Page 9: Motivation

Number of aid projects (1979-1987, as % of total aid)

Page 10: Motivation

Number of aid projects (1996-2005, as % of total aid)

Page 11: Motivation

3. Empirical analysis | Estimation techniques

• We estimate the models using Poisson Pseudo Maximum Likelihood (PPML)

• DV: Number of completed aid projects that a developing country receives as a share of China’s total aid

• The variables that we employ can hardly be assumed to explain yearly volatility 5 cross-sections

• We run nested regressions to increase to statistically test for differences between donors / time periods

Page 12: Motivation

Variable Description SourceDistance (log) bilateral distance between major cities CEPIIPopulation (log) total population Penn World TablesGDP per capita (log) GDP per capita (constant 2005 I$) Penn World TablesDisaster (log) number of people affected by disasters EM-DAT (2010)Democracy 1 if the regime qualifies as democratic Cheibub et al. (2009)Taiwan recognition 1 if recipient country recognizes Taiwan Rich (2009)UNGA voting UNGA voting alignment between donor and recipient Kilby (2009)Exports (log) exports to recipient country (constant 2000 US$) COWOil production (log) Oil production in millions of barrels per day Humphreys (2005), BP (2010)

3. Empirical analysis | Explanatory variables

RECIPIENT NEEDPOLITICAL INTERESTSPOLICIES & INSTITUTIONSCONTROLSCOMMERCIAL INTERESTSNEIGHBORHOOD

Page 13: Motivation

3. Empirical analysis | Phases of China’s aid program

1st research question: Are there differences in China’s allocation decisions between the five phases of China’s aid program?

• In contrast to other emerging donors, China does not favor neighboring countries (anymore)

• China’s aid shows some need orientation• China’s aid is independent of institutional characteristics (with

the exception of phase 3 – 1979-1989)• China’s allocation decisions are shaped by politics in all five

phases• Chinese aid allocation is related to its export pattern in phase 3

(1979-1989) and phase 5 (1996-2005)

Page 14: Motivation

3. Empirical analysis | Comparison with other donors

2nd question: Is China’s foreign aid different from other donors?

(5th phase of China’s aid program: 1996-2005)

Traditional DAC donors:• USA• EU-3 (Germany, France and United Kingdom)• ‘Good donors’ (Denmark, Netherlands, Norway and Sweden)• Japan

Emerging donors:• Korea• Arab donors (Kuwait and Saudi Arabia)

Page 15: Motivation

Distance Population GDP p. c. Disaster Democracy Taiwan rec. UNGA voting Exports Oil prod.China -0.009 -0.308*** -0.528*** 0.048 -0.059 -4.750*** 0.665 0.157** -0.018 (0.06) (3.72) (4.65) (1.54) (0.38) (3.80) (0.67) (2.33) (0.97)

USA -0.166 0.152** -0.150** 0.013 -0.039 0.013 1.256* 0.112*** -0.024** (1.35) (2.44) (2.18) (0.44) (0.35) (0.10) (1.95) (2.60) (2.21)

[0.387] [0.000] [0.002] [0.349] [0.905] [0.000] [0.628] [0.515] [0.755]

EU-3 0.114** 0.076** -0.119** 0.027** 0.005 0.000 -0.017 0.151*** -0.026*** (1.99) (2.40) (2.56) (2.08) (0.08) (0.00) (0.03) (5.32) (4.37)

[0.406] [0.000] [0.000] [0.487] [0.693] [0.000] [0.539] [0.926] [0.637]

'Good donors' 0.321** 0.135** -0.139** 0.058 -0.260* 0.058 1.853** 0.088*** -0.039*** (2.49) (2.18) (2.19) (1.64) (1.66) (0.41) (2.14) (3.11) (2.65)

[0.051] [0.000] [0.002] [0.831] [0.324] [0.000] [0.347] [0.330] [0.364]

Japan -0.305*** 0.030 -0.060 0.031** -0.011 0.156*** 1.508*** 0.085*** -0.010 (4.83) (0.86) (1.21) (2.08) (0.19) (2.69) (2.64) (3.23) (1.50)

[0.051] [0.000] [0.000] [0.601] [0.761] [0.000] [0.459] [0.301] [0.670]

Korea -0.479*** 0.022 -0.058 0.001 -0.065 0.165 1.249 0.044 0.010 (5.84) (0.71) (1.07) (0.11) (0.87) (1.46) (1.21) (1.43) (0.90)

[0.002] [0.000] [0.000] [0.155] [0.974] [0.000] [0.653] [0.108] [0.158]

Arab donors -0.356*** 0.040 -0.096 -0.046** -0.043 0.326*** 3.476*** 0.012 -0.030* (4.49) (0.90) (1.64) (2.39) (0.28) (3.13) (3.70) (1.41) (1.65)

[0.030] [0.000] [0.000] [0.004] [0.937] [0.000] [0.033] [0.032] [0.597]

3. Empirical analysis | Comparison with other donorsRECIPIENT NEEDPOLITICAL INTERESTSPOLICIES & INSTITUTIONSCONTROLSCOMMERCIAL INTERESTSNEIGHBORHOOD

Page 16: Motivation

Distance Population GDP p. c. Disaster Democracy Taiwan rec. UNGA voting Exports Oil prod.China -0.009 -0.308*** -0.528*** 0.048 -0.059 -4.750*** 0.665 0.157** -0.018 (0.06) (3.72) (4.65) (1.54) (0.38) (3.80) (0.67) (2.33) (0.97)

USA -0.166 0.152** -0.150** 0.013 -0.039 0.013 1.256* 0.112*** -0.024** (1.35) (2.44) (2.18) (0.44) (0.35) (0.10) (1.95) (2.60) (2.21)

[0.387] [0.000] [0.002] [0.349] [0.905] [0.000] [0.628] [0.515] [0.755]

EU-3 0.114** 0.076** -0.119** 0.027** 0.005 0.000 -0.017 0.151*** -0.026*** (1.99) (2.40) (2.56) (2.08) (0.08) (0.00) (0.03) (5.32) (4.37)

[0.406] [0.000] [0.000] [0.487] [0.693] [0.000] [0.539] [0.926] [0.637]

0.321** 0.135** -0.139** 0.058 -0.260* 0.058 1.853** 0.088*** -0.039*** (2.49) (2.18) (2.19) (1.64) (1.66) (0.41) (2.14) (3.11) (2.65)

[0.051] [0.000] [0.002] [0.831] [0.324] [0.000] [0.347] [0.330] [0.364]

Japan -0.305*** 0.030 -0.060 0.031** -0.011 0.156*** 1.508*** 0.085*** -0.010 (4.83) (0.86) (1.21) (2.08) (0.19) (2.69) (2.64) (3.23) (1.50)

[0.051] [0.000] [0.000] [0.601] [0.761] [0.000] [0.459] [0.301] [0.670]

Korea -0.479*** 0.022 -0.058 0.001 -0.065 0.165 1.249 0.044 0.010 (5.84) (0.71) (1.07) (0.11) (0.87) (1.46) (1.21) (1.43) (0.90)

[0.002] [0.000] [0.000] [0.155] [0.974] [0.000] [0.653] [0.108] [0.158]

-0.356*** 0.040 -0.096 -0.046** -0.043 0.326*** 3.476*** 0.012 -0.030* (4.49) (0.90) (1.64) (2.39) (0.28) (3.13) (3.70) (1.41) (1.65)

[0.030] [0.000] [0.000] [0.004] [0.937] [0.000] [0.033] [0.032] [0.597]

Distance Population GDP p. c. Disaster Democracy Taiwan rec. UNGA voting Exports Oil prod.China -0.009 -0.308*** -0.528*** 0.048 -0.059 -4.750*** 0.665 0.157** -0.018 (0.06) (3.72) (4.65) (1.54) (0.38) (3.80) (0.67) (2.33) (0.97)

USA -0.166 0.152** -0.150** 0.013 -0.039 0.013 1.256* 0.112*** -0.024** (1.35) (2.44) (2.18) (0.44) (0.35) (0.10) (1.95) (2.60) (2.21)

[0.387] [0.000] [0.002] [0.349] [0.905] [0.000] [0.628] [0.515] [0.755]

EU-3 0.114** 0.076** -0.119** 0.027** 0.005 0.000 -0.017 0.151*** -0.026*** (1.99) (2.40) (2.56) (2.08) (0.08) (0.00) (0.03) (5.32) (4.37)

[0.406] [0.000] [0.000] [0.487] [0.693] [0.000] [0.539] [0.926] [0.637]

'Good donors' 0.321** 0.135** -0.139** 0.058 -0.260* 0.058 1.853** 0.088*** -0.039*** (2.49) (2.18) (2.19) (1.64) (1.66) (0.41) (2.14) (3.11) (2.65)

[0.051] [0.000] [0.002] [0.831] [0.324] [0.000] [0.347] [0.330] [0.364]

Japan -0.305*** 0.030 -0.060 0.031** -0.011 0.156*** 1.508*** 0.085*** -0.010 (4.83) (0.86) (1.21) (2.08) (0.19) (2.69) (2.64) (3.23) (1.50)

[0.051] [0.000] [0.000] [0.601] [0.761] [0.000] [0.459] [0.301] [0.670]

Korea -0.479*** 0.022 -0.058 0.001 -0.065 0.165 1.249 0.044 0.010 (5.84) (0.71) (1.07) (0.11) (0.87) (1.46) (1.21) (1.43) (0.90)

[0.002] [0.000] [0.000] [0.155] [0.974] [0.000] [0.653] [0.108] [0.158]

Arab donors -0.356*** 0.040 -0.096 -0.046** -0.043 0.326*** 3.476*** 0.012 -0.030* (4.49) (0.90) (1.64) (2.39) (0.28) (3.13) (3.70) (1.41) (1.65)

[0.030] [0.000] [0.000] [0.004] [0.937] [0.000] [0.033] [0.032] [0.597]

3. Empirical analysis | Comparison with other donorsRECIPIENT NEEDPOLITICAL INTERESTSPOLICIES & INSTITUTIONSCONTROLSCOMMERCIAL INTERESTSNEIGHBORHOOD

Page 17: Motivation

3. Empirical analysis | Governance matters?

• As a robustness check, we make use of 7 alternative measures of policies and institutions

• China’s project aid seems to follow the principle of non-intrusion into internal affairs

• Compared to China, aid from traditional DAC donors is biased towards countries with good institutions

• In turn, some evidence that Korea’s and Arab aid allocation decisions are biased towards recipients with bad governance

Page 18: Motivation

3. Empirical analysis | Natural resources

• As a robustness check, we make use of 15 alternative measures of natural resource extraction

• With only one exception (bilateral imports of agricultural raw materials), there is no evidence that China provides on average more aid to countries that are more abundant in natural resources

• Compared to Korea in particular, it even seems that China pays less attention to those resources, rather than more

Page 19: Motivation

4. Conclusion

• At least to some extent, China’s aid is need-oriented• China’s aid is independent of institutional characteristics• China’s aid allocation decisions are shaped by politics and

commercial interests (as it is the case for many DAC donors!)• However, the verdict that China’s foreign aid is ‘rogue aid’ is

unjustified• China should publish its aid statistics since transparency might

reduce fears about its aid program

Page 20: Motivation

Thank [email protected]

Page 21: Motivation

Introduction of market-oriented principles and emphasis of linkages between aid, trade and investment

“New strategic partnership”

China seeks actively for diplomatic support and increased its aid substantially

Economic Reforms and Openness: Economic considerations became more influential

Mao Zedong’s claim to assume political leadership in the Third World

Political and ideological considerations dominate in the early years

Page 22: Motivation

3. Empirical analysis | Phases of China’s aid program

Distance Population GDP p. c. Disaster Democracy Taiwan rec. UNGA voting Exports Oil prod.1st phase -0.077 -0.163 -0.136 0.015 0.010 -1.337 5.362* -0.023 0.017 (1956-1969) (0.24) (0.83) (0.61) (0.73) (0.05) (0.90) (1.82) (1.37) (0.71)

[0.838] [0.498] [0.105] [0.395] [0.768] [0.075] [0.128] [0.010] [0.207]

2nd phase -0.252 -0.024 -0.209* 0.009 -0.112 0.077 7.438*** -0.002 -0.017 (1970-1978) (1.51) (0.51) (1.84) (0.65) (0.47) (0.26) (4.28) (0.14) (0.99)

[0.233] [0.003] [0.036] [0.244] [0.844] [0.000] [0.001] [0.018] [0.980]

3rd phase 0.192 0.002 -0.328*** 0.030 -1.166** -23.133*** 5.598** 0.111** -0.052** (1979-1989) (0.98) (0.02) (2.75) (1.63) (2.56) (5.30) (2.20) (1.97) (2.54)

[0.325] [0.005] [0.216] [0.640] [0.021] [0.000] [0.044] [0.593] [0.163]

4th phase 0.413* -0.172* -0.439*** -0.010 0.128 -2.400*** 3.571*** 0.073 -0.011 (1990-1995) (1.95) (1.85) (3.16) (0.43) (0.68) (3.51) (2.86) (1.06) (0.53)

[0.051] [0.222] [0.528] [0.134] [0.375] [0.060] [0.048] [0.353] [0.782]

5th phase -0.009 -0.308*** -0.528*** 0.048 -0.059 -4.750*** 0.665 0.157** -0.018 (1996-2006) (0.06) (3.72) (4.65) (1.54) (0.38) (3.80) (0.67) (2.33) (0.97)

# observations# clustersLog pseudo LWald chi2 (p)RESET test (p)

528132

-471.8550.0000.550

RECIPIENT NEEDPOLITICAL INTERESTSPOLICIES & INSTITUTIONSCONTROLSCOMMERCIAL INTERESTSNEIGHBORHOOD