2016年-世界发展银行全球_Vulnerability_to_Drought_and_Food_Price_Shocks___Evidence_from_Ethiopia_28页_866kb

Summary of "Vulnerability to Drought and Food Price Shocks: Evidence from Ethiopia"

Core Content

This working paper by Ruth Vargas Hill and Catherine Porter investigates the vulnerability to poverty in Ethiopia, focusing on the impact of drought and food price shocks. The study uses nationally representative household data and objective measures of shocks to quantify how these factors affect household consumption and poverty levels. It emphasizes the importance of understanding vulnerability, which is the risk of falling into poverty, rather than just the current state of poverty.

Main Views

• Vulnerability vs. Poverty: Vulnerability is conceptually distinct from poverty because it accounts for the uncertainty of future outcomes. The paper highlights that a single snapshot of poverty may not reflect the true vulnerability of different groups.

• Impact of Shocks: Drought and food price inflation significantly affect household consumption. A moderate drought leads to a 9% reduction in consumption for many rural households, while high inflation in 2011 caused a 14% drop in consumption for urban households.

• Vulnerability Differences: Rural households show higher vulnerability than urban ones, even though poverty rates are similar. This is due to the survey timing—2011 was a year of good rainfall but high inflation in urban areas.

• Safety Net Programs: The Productive Safety Net Program (PSNP) introduced in 2005 helps reduce vulnerability in rural areas, but not all households are covered. Vulnerability remains high in urban areas, especially among uneducated households.

• Gender Differences: Female-headed households are more vulnerable in urban areas, whereas male-headed households are more vulnerable in rural areas. This indicates that vulnerability is not uniform across household types.

Key Information

Data and Methodology

• Data Sources: The study uses the Household Income and Consumption Expenditure Survey (HICES) and Welfare Monitoring Surveys (WMS) from 2004/05 and 2010/11. These datasets include over 20,000 households and cover a wide range of household and geographic characteristics.

• Shock Measurement:

  • Drought: Measured using the LEAP database, which estimates crop loss based on rainfall patterns and crop types.
  • Food Price Shocks: Estimated using CPI data and the timing of the survey. The average monthly CPI increase in the three months prior to the survey is used to calculate the impact of price shocks.

• Methodology:

  • The paper uses a regression model to estimate the impact of shocks on consumption, incorporating fixed effects for districts, woredas, and households.
  • It applies propensity score matching to test the robustness of the findings.
  • Vulnerability is measured using the Foster-Greer-Thorbecke (FGT) indices and the Calvo-Dercon measure, which captures the risk of falling below the poverty line.

Results and Implications

• Vulnerability Estimates:

  • Rural vulnerability to poverty is 42%, much higher than the poverty headcount (just under 30%).
  • Urban vulnerability is 5 percentage points less than the poverty rate.

• Impact of Shocks:

  • Drought and food price shocks have a greater impact on rural and urban households, respectively.
  • Uneducated urban households are most affected by food price shocks, while non-PSNP-covered rural households are most affected by drought.

• Policy Implications:

  • The study underscores the importance of considering vulnerability in poverty-targeted programs.
  • It highlights the need for risk management strategies in both rural and urban areas.
  • It suggests that the PSNP has had a positive impact on reducing vulnerability in rural areas, but targeting remains imperfect.

Structure of the Paper

1. Introduction: Sets the context of vulnerability in Ethiopia, emphasizing the role of drought and food price shocks.
2. Quantifying the Welfare Impact of Weather and Price Shocks: Details the methodology and data used to estimate the impact of shocks on consumption.
3. Estimating Vulnerability to Poverty: Explains the different measures of vulnerability and how they are applied to the data.
4. Estimating the Probability Distribution of Future Consumption: Describes the process of generating the CDF for future consumption based on shock impacts and probabilities.
5. Conclusion and Policy Recommendations: Summarizes the findings and suggests policy actions to address vulnerability, especially in the context of climate change and rising food prices.

Caveats and Limitations

• The study acknowledges that some unobserved household characteristics may still affect the results.
• The use of cross-sectional data limits the ability to capture all dynamics of vulnerability.
• The interpretation of vulnerability is nuanced, with the term meaning different things in different contexts (e.g., urban vs. rural).

Conclusion

This paper provides critical insights into how drought and food price shocks influence household consumption and poverty in Ethiopia. It argues that vulnerability measures are essential for understanding the risk of falling into poverty, especially in the context of climate and economic volatility. The findings support the development of more robust and forward-looking poverty reduction strategies.