2009年-世界发展银行全球_Agricultural_Distortion_Patterns_since_the_1950s___What_Needs_Explaining__57页_787kb

Summary of "Agricultural Distortion Patterns Since the 1950s: What Needs Explaining?"

Core Content

This working paper by Kym Anderson, Johanna Croser, Damiano Sandri, and Ernesto Valenzuela explores the evolution of agricultural price and trade policies over the past half-century, focusing on their impact on distortions in agricultural incentives and consumer food prices in 75 countries. The paper introduces a new World Bank database that provides comprehensive data on these distortions, which is essential for understanding long-term trends and annual fluctuations in agricultural policy.

The authors argue that agricultural distortions have significant implications for global economic welfare, inequality, and poverty, especially given that three-quarters of the world's poorest people depend on agriculture for their livelihoods. They highlight how both advanced and developing economies have implemented policies that affect the price signals for farmers and consumers, often in ways that reduce efficiency and economic growth.

Main Points

• Trade-Related Policies Impact Agricultural Incentives: Trade policies, including export taxes, import restrictions, and currency overvaluation, have had a substantial impact on agricultural price distortions, both domestically and internationally.

• Protectionist Policies in Advanced Economies: Advanced economies have historically used price-support policies to protect domestic farmers from international competition, which, while intended to support local production, have had negative effects on global welfare and on developing economies.

• Direct Taxation of Farmers in Developing Countries: Many developing countries have directly taxed their farmers through export taxes and indirect means such as overvalued currencies and import restrictions on manufactured goods, further depressing agricultural price incentives.

• Global Inequality and Poverty: The combination of these policies has contributed to global inequality and poverty by distorting international food prices and reducing the competitiveness of developing country producers.

• New Database and Indicators: The paper introduces a new World Bank database that includes nominal rates of assistance (NRAs) and consumer tax equivalents (CTEs) for over 70 agricultural products across 75 countries, covering 90–96% of the world's population, agricultural GDP, and total GDP. It also includes estimates for non-agricultural tradables and provides a relative rate of assistance (RRA) to compare agricultural and non-agricultural sectors.

• Policy Reforms in the Past Two Decades: Many countries have begun to reform their agricultural policies, increasing international trade in farm products. However, the pace of reform has not matched the globalization of non-agricultural sectors.

• Welfare Reduction Index (WRI) and Trade Reduction Index (TRI): These indices are derived from NRA and CTE data to quantify the impact of policy distortions on economic welfare and trade volumes, respectively.

Key Findings

• Higher Income Countries Have Higher NRAs: There is a positive correlation between a country's income per capita and its nominal and relative rates of assistance to agriculture.

• Weaker Agricultural Comparative Advantage Leads to Higher NRAs: Countries with less competitive agricultural sectors tend to have higher NRAs, indicating a policy bias against agricultural production.

• Asia's Rapid Economic Growth and Industrialization: Asia has experienced faster economic growth and export-led industrialization compared to other regions. Its agricultural share of GDP has declined significantly, while employment in agriculture remains high.

• RRA Trends: The relative rate of assistance (RRA) for developing countries has shifted from negative (anti-agricultural) to slightly positive (pro-agricultural) over the period, reflecting changes in trade and industrial policies.

• Regional Disparities in Agricultural Distortions: The data reveal that agricultural distortions vary significantly across regions and countries, with high-income countries generally having lower NRAs and RRA compared to developing countries.

• Policy Reforms and Their Implications: The paper raises important questions about the political economy forces driving agricultural reforms and the role of domestic versus international pressures in shaping these reforms.

Conclusion

The authors emphasize the importance of understanding agricultural policy distortions for future reforms aimed at improving economic growth and reducing poverty. The database and associated indicators provide valuable tools for political economy theorists, historians, and econometricians to analyze the patterns and drivers of agricultural policy across time and space.

Key Questions for Further Research

• Where is there still a policy bias against agricultural production?
• To what extent have developing countries overshot in protecting their food producers?
• What political economy forces explain the success or failure of agricultural reforms?
• How have domestic and international forces influenced the pace of reform over the past two decades?
• What explains the variation in agricultural distortions across countries, industries, and policy instruments?

Data Overview

• 75 Countries Covered: Representing 90–96% of the world's population, farmers, agricultural GDP, and total GDP.
• 70+ Agricultural Products: With an average of 12 products per country.
• Coverage of Global Output: The NRAs cover 77% of global output of the 30 most valuable agricultural products.
• Time Period: Data spans from 1955 to 2007, with an average of 41 years of coverage per country.

Methodology Highlights

• Nominal Rate of Assistance (NRA): Measures the percentage by which government policies raise or lower farm returns compared to free market levels.
• Consumer Tax Equivalent (CTE): Reflects the impact of domestic policies on consumer prices.
• Relative Rate of Assistance (RRA): Compares the extent of agricultural versus non-agricultural sector distortions.
• Welfare Reduction Index (WRI) and Trade Reduction Index (TRI): Help quantify the economic costs of agricultural distortions and their impact on trade.

This comprehensive analysis offers a valuable framework for understanding the complex interplay of agricultural policies and their broader economic and social implications.