2007年-世界发展银行全球_Brazil___Measuring_Poverty_Using_Household_Consumption_106页_7mb

Summary of Brazil Measuring Poverty Using Household Consumption

Core Content

This report, part of the Brazil Poverty Measurement Study (BRAPOV), provides an in-depth analysis of poverty and inequality measurement in Brazil using household consumption data from the 2002-03 Pesquisa de Orçamentos Família (POF). It highlights the importance of consumption as a more accurate measure of welfare than income, particularly in capturing the true living standards and needs of households. The study also discusses the development of regional poverty lines and spatial price indices to reflect the cost of living variations across Brazil's different regions.

Main Viewpoints

• Consumption vs. Income: Consumption data is more reflective of actual welfare and living conditions compared to income data, which is often collected more frequently but less accurately for poverty measurement.
• Poverty Lines: Brazil lacks an official poverty line, and existing measures are based on arbitrary income thresholds, often as a fraction of the minimum wage. The report proposes three regional poverty lines: the food poverty line, minimum livelihood poverty line, and upper poverty line, based on different methodologies.
• Methodologies for Poverty Lines:
  • Cost of Basic Needs (CBN): This method generates consistent poverty lines that reflect regional cost-of-living differences.
  • Food Energy Intake (FEI): This method is more specific, capturing regional variations in preferences and living standards but can lead to less consistent poverty profiles.
• Spatial Price Indices: These indices are crucial for adjusting consumption and income data to reflect regional cost-of-living differences. The report compares Laspeyres and Paasche indices and finds that the inclusion of housing costs significantly increases regional disparities.
• Poverty Profile: The updated poverty profile based on POF data aligns with previous income-based profiles, showing that approximately 8.5% of the population is in extreme poverty, and 21.5% in minimum livelihood poverty.
• Policy Implications: The report suggests that using region-specific poverty lines could improve the targeting of social programs. It also emphasizes the need for better alignment between the distribution of federal funds and the regional distribution of poverty.

Key Information

Poverty Lines

• Food Poverty Line: Average R$61 per capita per month. It represents the minimum expenditure needed to meet basic caloric requirements.
  • Rural South: R$55
  • Metropolitan São Paulo: R$65
• Minimum Livelihood Poverty Line (Intermediate): Average R$103 per capita per month. It includes the cost of essential nonfood needs.
  • Rural South: R$90
  • Metropolitan São Paulo: R$115
• Upper Poverty Line: Average R$220 per capita per month. It reflects the cost of basic nonfood needs in addition to food.
  • More than 2 times the minimum livelihood poverty line.

Poverty Estimates

• Extreme Poverty (Food Line): 8.5% of the population, corresponding to 14,903,203 individuals.
• Minimum Livelihood Poverty (Intermediate Line): 21.5% of the population, corresponding to 37,696,336 individuals.
• Poverty Gap Index:
  • Based on the food poverty line: 2.5%
  • Based on the minimum livelihood poverty line: 7.3%
• Regional Disparities:
  • Rural Northeast: Extreme poverty index of just under 31%
  • Urban Northeast: Extreme poverty index of 9.5%
  • Other high poverty regions: Rural North, Center-West, and Southeast

Spatial Price Indices

• Food-only indices: Small regional differences, but when combined with housing costs, the disparities increase significantly.
• Laspeyres vs. Paasche: Laspeyres indices are used to estimate the cost of living, with the inclusion of housing costs leading to more accurate regional comparisons.
• Adjustment for regional cost differences: The CBN method is preferred for its consistency, while FEI provides more specificity but may lead to less reliable profiles.

Policy Implications

• Targeting Social Programs: Using region-specific poverty lines can significantly improve the targeting of social assistance programs.
• Social Programs in Brazil:
  • Bolsa Família: Uses the R$100 and R$50 administrative poverty lines.
  • Bolsa Escola, Bolsa Alimentação, Cartão Alimentação under Fome Zero, and Auxilio Gas are part of the program that has been merged into Bolsa Família.
• Fiscal Resources: There is a need to reconsider the allocation of fiscal resources for social insurance programs, as they are less effective in targeting the poor compared to social assistance programs.
• Federal Funds Allocation: The report suggests that federal funds for poverty alleviation should be realigned with the actual regional distribution of poverty to ensure better impact.

Conclusions

The BRAPOV study highlights the importance of using consumption data for accurate poverty measurement and proposes region-specific poverty lines that better reflect the cost of living and welfare needs. The study also underscores the value of spatial price indices in capturing regional disparities and improving the targeting of social programs. The collaboration with IBGE has laid the foundation for future poverty mapping and institutional capacity building, which will aid in the sustainable analysis and dissemination of poverty data. The report emphasizes that while the CBN method is more consistent, the FEI method offers greater specificity in capturing regional differences in living standards and preferences.