2006年-世界发展银行全球_Global_Redistribution_of_Income_36页_341kb

Summary of "Global Redistribution of Income" by François Bourguignon, Victoria Levin, and David Rosenblatt

Core Content

This paper examines the impact of international policies on the distribution of income across countries, focusing on aid, trade, and factor movements. It analyzes how these policies influence the international distribution of income and highlights the contradictions and complexities in understanding global redistribution.

Main Points

• Global Income Inequality: The international distribution of income is highly unequal, with the richest 20% of the world population receiving over 60% of global GNI, while the poorest 40% receive just over 10%. The population-weighted Gini coefficient in 2002 was 53.8, indicating significant inequality.

• Aid's Redistribution Effect: Official Development Assistance (ODA) has a modest equality-enhancing effect, particularly for the lowest decile of the world's income distribution. However, its impact on standard inequality measures is small. The paper estimates the effect of aid by treating it as a direct income transfer and adjusting GNI accordingly.

• Trade Protection and Inequality: Trade barriers imposed by high-income countries reduce potential income for lower deciles, counteracting some of the positive effects of aid. Trade liberalization, on the other hand, leads to a positive-sum game, increasing global welfare and reducing inequality slightly.

• Limitations of the Analysis: The paper focuses on international inequality, ignoring within-country inequality, which is a major component of global inequality. It also notes the analytical difficulties in extending the analysis to migrant worker and profit remittances, due to their complex impacts and the lack of data on within-country distributional effects.

• Static vs. Dynamic Effects: The study is static, and does not account for dynamic general equilibrium effects or externalities such as knowledge transfer and capital accumulation. It suggests that future research should consider these broader impacts.

Key Findings

• Aid's Impact:

  • Aid has a limited effect on standard inequality measures but is significant for the poorest decile.
  • Under the preferred scenario, aid increases the mean logarithmic deviation by nearly 2 percentage points.
  • Aid is effectively targeted towards the poorest, with 41% of aid going to the poorest decile and 25% to the second.

• Trade Liberalization:

  • Trade liberalization by high-income countries leads to a positive-sum game, increasing global welfare and slightly reducing international inequality.
  • The Gini coefficient decreases by 0.06 percentage points in the absence of trade protection.
  • The impact is not exclusively towards the poor, as shown by the limited change in poverty-sensitive inequality measures.

• Measurement Issues:

  • The paper discusses three key measurement issues:
    1. The grant equivalence of multilateral aid.
    2. The inclusion of debt relief in aid flows.
    3. Whether technical cooperation should be included in the analysis.
  • Different scenarios yield varying results, but the preferred scenario is considered the most accurate and conservative.

Key Tables and Figures

• Table 1: Shows the impact of aid flows on inequality measures under three different scenarios:

  • Base (after aid): Gini = 0.5380, Mean Log Dev = 0.5316
  • Maximum Scenario: Gini = 0.5424, Mean Log Dev = 0.5507
  • Preferred Scenario: Gini = 0.5404, Mean Log Dev = 0.5415

• Figure 2: Illustrates the percent impact of aid on GNI per capita across deciles, showing that the lowest decile benefits the most (around 8% increase), while the top decile loses (around 0.25%).

• Table 2: Compares the impact of trade reform on inequality measures:

  • Base (with trade protection): Gini = 0.5426, Mean Log Dev = 0.5396
  • With trade reform: Gini = 0.5425, Mean Log Dev = 0.5394

• Figure 3: Shows that efficiency gains from trade liberalization imply all deciles lose due to current protection, but inequality is affected by the relative losses of different groups.

Policy Implications

• The paper concludes that while aid has some equality-enhancing effects, these are counteracted by trade protection from high-income countries.
• It suggests that future research should explore the dynamic effects, general equilibrium impacts, and externalities of aid, trade, and factor flows.
• The within-country distributional impacts of international policies are also important and should be considered in future studies.

Conclusion

• The international distribution of income is highly unequal, and while aid and trade liberalization have some redistributive effects, they are limited in scope.
• Protectionism by high-income countries offsets some of the benefits of aid.
• The analysis is partial and static, and the true global inequality is higher than what is measured here due to within-country inequality.

References

• The paper is part of the World Bank Policy Research Working Paper Series (WPS3961, July 2006).
• It references various studies and datasets, including the World Bank's WDI 2004, OECD/DAC aid data, and GTAP results for trade reform simulations.