2012年-世界发展银行全球_Impacts_of_Large-Scale_Expansion_of_Biofuels_on_Global_Poverty_and_Income_Distribution_36页_1mb

Summary: Impacts of Large-Scale Expansion of Biofuels on Global Poverty and Income Distribution

Core Content

This paper explores the global economic and social impacts of large-scale biofuel expansion, focusing on poverty and income distribution. It uses two complementary models: a global computable general equilibrium (CGE) model and a Global Income Distribution Dynamics (GIDD) model. The CGE model simulates the effects of biofuel expansion on commodity prices, factor prices, and resource allocation, while the GIDD model uses these results to assess the impacts on income inequality and poverty levels globally and regionally.

Main Viewpoints

1. Biofuel Expansion and Agricultural Commodities

• Large-scale biofuel expansion leads to increased production and prices of agricultural commodities.
• Higher agricultural prices result in increased food prices, especially in developing countries.
• Unskilled rural labor wages rise due to increased demand for agricultural inputs, which slows rural to urban migration in many developing regions.

2. Regional Impacts on Poverty

• South Asia and Sub-Saharan Africa experience increases in poverty due to rising food prices.
• Latin America sees reductions in poverty because of the region's net food importer status, which benefits from lower food prices.
• Globally, the expansion of biofuels leads to a slight increase in poverty, as the regional effects balance out.

3. Income Distribution Effects

• Biofuel expansion benefits rural households due to higher wages and land rents.
• Urban poor are negatively impacted by higher food prices.
• The overall effect on income distribution is mixed, depending on the region and the type of biofuel production.

Key Information

1. Models Used

• Global CGE Model: Simulates the macroeconomic impacts of biofuel expansion, including changes in:
  • Commodity prices
  • Factor prices (labor, capital, land)
  • Household income
  • Land reallocation and land rent
• GIDD Model: Uses household survey data from 116 countries (representing 90% of the global population) to simulate income distribution and poverty effects.
  • The model adjusts sampling weights based on demographic and educational projections.

2. Model Features

• The CGE model includes:
  • Four types of biofuels: sugar ethanol, corn ethanol, grains ethanol, and biodiesel.
  • A multi-level CET land-use module that captures land returns and reallocation.
  • Perfect mobility of new capital and low mobility of old capital.
  • Product differentiation via the Armington assumption.
• The GIDD model:
  • Uses microsimulation techniques to adjust factor returns and income distribution.
  • Incorporates Mincer equations to estimate wage gaps and income adjustments for workers moving between sectors.

3. Data Sources

• CGE Model Data: Includes agricultural production data, energy prices, and factor inputs.
• GIDD Model Data: Based on household surveys from the World Bank, LSMS, LIS, and regional databanks.
• The GIDD database covers all regions, with 100% coverage in Eastern Europe and Central Asia, and 70–98% coverage in other regions.

4. Scenarios and Assumptions

• Three scenarios are analyzed over the period 2009–2020.
• The Business as Usual (BaU) scenario:
  • Assumes exogenous energy prices for coal, oil, and natural gas.
  • Energy prices increase significantly from 2004 to 2015, with coal having the highest growth (161%).
  • GDP growth rates are based on World Bank projections, with China and India showing the highest growth.
  • Population growth is also projected, with some countries experiencing declining populations.

Key Conclusions

• Biofuel expansion has mixed effects on poverty and income distribution globally.
• Rural households benefit from higher wages and land rents.
• Urban poor are negatively affected by rising food prices.
• Developing countries are more vulnerable to the negative impacts of biofuel expansion due to higher food share in household budgets.
• The design of biofuel policies is crucial in determining their impact on poverty; strong regulatory frameworks are necessary to ensure positive outcomes.
• Land use changes and factor productivity are essential to understanding the overall economic impact of biofuels.

Policy Implications

• Biofuel policies should be carefully designed to avoid adverse effects on food security and poverty in developing countries.
• Smallholder involvement in biofuel production can lead to greater benefits for unskilled labor and landowners.
• International cooperation and transparent data sharing are important for accurate modeling and policy formulation.