世界发展银行-Using-Computable-General-Equilibrium-Models-to-Analyze-Economic-Benefits-of--Gender-Inclusive-Policies_11页_959kb

Summary of "Macroeconomics, Trade & Investment: Using Computable General Equilibrium Models to Analyze Economic Benefits of Gender-Inclusive Policies"

Core Content

This document discusses the application of Computable General Equilibrium (CGE) models in analyzing the economic benefits of gender-inclusive policies. It highlights the importance of CGE models in understanding the aggregate and distributional impacts of policies aimed at closing gender gaps, and how they can be used to support policy dialogue and operation design in the context of the World Bank's Gender Strategy.

Main Points

1. What is CGE Model-Based Analysis?

• CGE models are economy-wide simulation tools that use economic data to estimate the effects of policy changes or external shocks.
• They assume that firms and households behave optimally under budget constraints and that market equilibrium is achieved when demand equals supply in factor and commodity markets.
• These models are useful for:
  • Quantifying the macroeconomic benefits of gender-inclusive policies.
  • Identifying winners and losers of reforms across sectors, households, and labor categories.
  • Assessing distributional and sectoral impacts of policy changes.

2. Why Use CGE Models for Gender-Inclusive Policy Analysis?

• Gender gaps affect various economic aspects, and CGE models can capture these multi-channel impacts.
• They are particularly suitable for economy-wide analysis due to their comprehensive coverage of all economic activities.
• CGE models allow for:
  • Ex-ante impact assessment on indicators such as GDP per capita, GDP growth, labor force participation, and productivity.
  • Sectoral and distributional analysis, including effects on the poorest and richest households and urban vs. rural areas.

3. Examples of Policy Scenarios

• Higher female labor force participation: Leads to increased labor supply, potential wage decreases, and reduced occupational segregation.
• Closing the gender education gap: Can delay early childbearing and reduce fertility rates, leading to higher savings and capital accumulation.
• Improving agricultural productivity for women: Enhances the contribution of agriculture to GDP growth.
• Increasing financial inclusion for female-headed households: Can reduce their saving rate and increase consumption.

4. Limitations of CGE Models

• CGE models are not standalone tools for gender assessment; they focus on economic gaps, not all dimensions of gender inequality.
• They rely on GDP and economic activity indicators, which may not fully capture the social and non-economic impacts of gender equality.

5. Comparison with Other Models

• Partial-equilibrium (PE) models are less suitable for economy-wide analysis and often miss distributional effects.
• CGE models provide a counterfactual analysis that isolates the effects of a specific shock from other events, making them more effective for macroeconomic evaluation.

Key Information

6. World Bank Initiatives

• The World Bank has been using CGE models to assess the economic benefits of gender-inclusive policies.
• Notable reports include:
  • Niger: Economic Impacts of Gender Inequality (2018)
  • Guinea: The Economic Benefits of a Gender-Inclusive Society (2019)
• These reports:
  • Document country-specific gender inequality patterns.
  • Use a lifecycle approach to assess the impacts of policy reforms.
  • Suggest that reducing gender inequality could increase GDP per capita by 32% by 2030 in Niger and GDP by up to 10% by 2035 in Guinea.

7. Future Directions

• The focus is shifting from labor market and demographic accounts to:
  • Wage gaps between male and female labor.
  • Informality in labor markets.
  • Unpaid domestic work and unpaid family labor.
  • Care economy and labor supply decisions.
  • Skills transformation and education/training.
• These improvements will enable comparative analysis of different policies and help identify key bottlenecks in the economic structure and policy environment.

8. Data and Computational Requirements

• Social Accounting Matrices (SAMs) are the foundation of CGE models, combining data from national accounts, input-output tables, and micro surveys.
• Data requirements include:
  • Elasticities (trade, consumption, production).
  • Labor employment by sector.
  • Stocks (factors, foreign and domestic debts).
• Computational tools such as GAMS and GEMPACK are used to solve CGE models.
• Engendering SAMs involves disaggregating data by gender, which is often data-intensive.

Conclusion

CGE model-based analysis offers a powerful tool for evaluating the macroeconomic impacts of gender-inclusive policies. It supports policy prioritization, distributional analysis, and sectoral impact assessment, while also aligning with the World Bank's Gender Strategy. Despite its limitations, CGE analysis provides a comprehensive framework for understanding the economic benefits of gender equality, and ongoing efforts aim to enhance its applicability and accuracy in this field.

References

• Arndt, C., and F. Tarp. 2000. Agricultural Technology, Risk, and Gender: A CGE Analysis of Mozambique.
• Laderchi, C.R., H. Lofgren, and R. Abdula. 2010. Addressing Gender Inequality in Ethiopia: Trends, Impacts, and the Way Forward.
• Fontana, M., and A. Wood. 2000. Modeling the Effects of Trade on Women, at Work and at Home.
• World Bank. 2015. World Bank Group Gender Strategy (FY16-23).
• World Bank. 2018. Economic Impacts of Gender Inequality in Niger.
• World Bank. 2019. Guinea - The Economic Benefits of a Gender-Inclusive Society.