2007年-世界发展银行全球_Malawi_-_Poverty_and_Vulnerability_Assessment___Investing_in_Our_Future_301页_4mb

Summary of Poverty and Vulnerability Assessment in Malawi (2007)

Core Content

This document provides a detailed analysis of poverty and vulnerability in Malawi, based on data from the Integrated Household Surveys (IHS1 and IHS2), as well as other national data sources. It outlines the methodologies used to measure poverty, assess living standards, and evaluate the impact of various factors on household welfare. The focus is on understanding the nature of poverty, identifying the ultra-poor, and analyzing the determinants of poverty and its effects on households and children.

Main Purpose

• To measure poverty and living standards using comprehensive and reliable data sources.
• To construct a consumption expenditure aggregate and poverty lines for poverty assessment.
• To evaluate the effectiveness of poverty reduction strategies and monitor progress towards the Millennium Development Goals (MDGs).
• To provide insights into the multidimensional aspects of poverty, including health, education, and access to basic services.

Key Data Sources

• Integrated Household Survey (IHS1): Conducted between November 1997 and October 1998, covering 10,631 households and 45,859 individuals.
• Integrated Household Survey (IHS2): Conducted between March 2004 and March 2005, covering 11,280 households and 51,288 individuals.
• Population Census of 1998
• Demographic and Health Surveys (DHS): Conducted in 1992, 1996, 2000, and 2004.
• DHS Education (DHS EdData): Conducted in 2002, focusing on education.
• Malawi Core Welfare Indicators Questionnaire (CWIQ): Conducted in 2002.
• Malawi National Child Labor Survey: Conducted in 2002.
• Malawi Complementary Panel Survey: Includes 5 rounds of panel data from IHS1.

Methodology for Poverty Measurement

Consumption Expenditure Aggregate

• The IHS2 data is divided into two files: ihs2_exp.dta and ihs2_pov.dta.
• ihs2_exp.dta includes detailed expenditure data across 33 categories.
• ihs2_pov.dta aggregates these into 12 broader categories for poverty analysis.
• Expenditure Components:
  1. Food: Includes both purchased and self-produced food, with 80 categories.
  2. Non-food, non-consumer durables: Includes services and goods not related to food or durable consumption.
  3. Consumer durable goods: 17 items are included, such as beds, radios, and refrigerators.
  4. Housing rental cost: Actual or self-estimated rental cost is recorded.

Poverty Lines

• Total Poverty Line: Combines food and non-food components.
• Food Poverty Line (Ultra Poverty Line): Based on the cost of meeting daily calorie requirements (2,400 calories/person/day).
  • Calorie Requirements by Age Group:
    • <1: 820 calories
    • 1-2: 1,150 calories
    • 2-3: 1,350 calories
    • 3-5: 1,550 calories
    • 5-7: 1,800 calories
    • 7-10: 1,950 calories
    • 10-12: 2,075 calories
    • 12-14: 2,250 calories
    • 14-16: 2,400 calories
    • 16-18: 2,500 calories
    • 18+: 2,464 calories
  • Cost per 1000 Calories: 11.48 MK (from the 5th and 6th deciles).
  • Food Poverty Line: 10,029 MK per person per year, or 27.5 MK per person per day.
  • Ultra Poor: Households with per capita expenditure below the food poverty line.

Price Deflation

• A spatial and temporal price index was constructed to convert nominal values to real values.
• The index was based on:
  1. Food prices from Section I of the IHS2 questionnaire.
  2. Food and non-food prices from the community questionnaire.
  3. Price data from the National Statistics Office (NSO) for the Consumer Price Index (CPI).
• Due to limited data availability, the price index was restricted to certain products and areas.

Key Findings

• The IHS1 data set had 10,631 households, but only 60% had complete expenditure data due to issues with data collection and quality.
• The IHS2 improved upon IHS1 by using the LSMS methodology, which included:
  • A broader range of expenditure categories.
  • A community questionnaire to gather qualitative data.
  • A price questionnaire for constructing detailed price indices.
• The consumption expenditure aggregate was constructed using:
  • Median prices for products.
  • Conversion of units of measurement to grams.
  • Annualization of expenditures.
• The food poverty line is used to identify the ultra-poor, who are unable to meet basic caloric needs.
• Non-food poverty line is also constructed, though details are not fully elaborated in the provided text.
• The methodology emphasizes the importance of equivalence scales, shocks, time use, subjective wellbeing, and determinants of poverty in understanding the multidimensional nature of poverty.

Conclusion

The document provides a robust framework for measuring poverty in Malawi using integrated household surveys and other data sources. It highlights the need for accurate data collection, proper handling of outliers, and the use of price indices to adjust for spatial and temporal variations in consumption. The focus on food poverty lines and the identification of the ultra-poor is a significant contribution to poverty analysis in the country.