2023-07-05-UNDP-以妇女为重点的多维贫困指数_为拉丁美洲和加勒比提出的建议_12页_610kb

Analysis and Summary of UNDP Report on Multidimensional Poverty Index for Women in Latin America and the Caribbean

1 Introduction and Objective

The report proposes a specialized Multidimensional Poverty Index (MPI) focused exclusively on measuring poverty among women in Latin America and the Caribbean (LAC). It argues that conventional poverty measures fail to capture the specificities and structural barriers contributing to women's poverty, necessitating an innovative, gender-sensitive tool to effectively address their needs, identify bottlenecks, and inform gender-responsive policies.

2 Background and Rationale

• Standard poverty measurement relies heavily on monetary income or consumption, overlooking crucial non-monetary aspects.
• Existing measures often fail to accurately reflect women's poverty due to gender biases in data aggregation and analytical frameworks that assume equal sharing of deprivations within households.
• Women in LAC bear a disproportionate share of unpaid care work, face gender-based discrimination in labor markets (often receiving lower pay, working unstable jobs, or being pushed into informal employment), and experience barriers to physical autonomy, finances, and decision-making.
• Violence and lack of access to sexual and reproductive health services further exacerbate women's vulnerability to poverty.
• Evidence consistently shows that women's poverty remains significantly underestimated by traditional metrics.

3 Methodology: Women-Unit MPI

• Dimensions & Indicators: The proposed MPI focuses on five core dimensions identified through a review of literature and are available in existing household surveys:
  1. Health and Care Services: Includes lack of health insurance and access to child-care services.
  2. Education and Household Composition: Includes low educational level and single-mother-headed households with high dependency.
  3. Economic Autonomy: Includes unfavourable working conditions, non-income earner status, and lack of access to financial services/the digital economy.
  4. Access to ICT and Housing/Basic Services: Includes lack of access to the Internet, digital overcrowding, inadequate housing, lack of access to basic services (health, water, sanitation, electricity, etc.).
• Data Source: Uses household living standards surveys, focusing on data comparability across the 10 selected countries.
• Measurement Approach (Alkire-Foster): Employs a counting approach, considering the proportion of indicators (dimensions) in which a woman is deprived, with a cut-off point of 40% defining someone as multidimensionally poor if deprived in 40% or more of the dimensions.
• Normalization: Uses 10 indicators, each assigned equal weight (20% per dimension).

4 Key Findings (Approx. 2019 Data)

• Overall Prevalence: ~28% of women in the 10 analyzed LAC countries (Bolivia, Chile, Colombia, Costa Rica, El Salvador, Honduras, Mexico, Panama, Dominican Republic, Uruguay) are multidimensionally poor.
• Country Variation: Significant disparities exist:
  • Lowest Incidence (Uruguay, Chile): Below 10% (<5% in Uruguay). Similar intensity to other countries.
  • High Incidence (Honduras, El Salvador): Over 62% of adult women ("63-64%"). High intensity (average ~55% deprivations).
  • Middle Range (Dominican Republic, Mexico, Colombia, Panama): Incidence around 24-35%.
• Intensity: The average deprivation share for poor women is ~48% across the region.
• Urban/Rural Divide: Rural women face significantly higher poverty rates (average over 58% multidimensionally poor vs. ~19% in urban areas). The intensity and urban-rural gap are particularly stark in Bolivia, Honduras, El Salvador, and Colombia.
• Common Deprivations: Unfavourable work conditions, lack of access to basic services, lack of access to the Internet, and inadequate housing are prevalent deprivations among poor women across the region. This is especially true for rural women.
• Indicator Contribution: Unfavourable working conditions, lack of access to the Internet, and lack of access to basic services contribute most significantly to the aggregated index result.

5 Recommendations

1. Develop National Women's MPIs: Create national, gender-specific MPIs offering a complete overview of women's multidimensional poverty.
2. Integrate Gender Indicators: Incorporate existing gender-sensitive indicators from household surveys into national MPIs.
3. Analyze MPIs from a Gender Lens: Disaggregate national MPI data by gender, potentially clarifying the gender of the household head as a proxy (but recognizing its limitations).
4. Explore Multi-Source Data: Investigate the use of administrative data beyond household surveys.
5. Adopt an Intersectional Approach: Collect and analyze data that captures how different forms of discrimination and structural barriers (age, ethnicity, disability, geographical location, etc.) intersect with gender to shape poverty experiences.

6 Strengths and Data Considerations

• Provides a comparable regional measure of women's multidimensional poverty.
• Addresses key gender-specific dimensions often overlooked.
• Based on fundamental data collected in household surveys.
• Reliability Note: Not all indicators initially proposed (relating more directly to issues like violence, time use, or specific social participation) were included in all countries due to data availability, comparability, or feasibility constraints for a pan-regional index.