Multidimensional poverty and child survival in India
1Department of Fertility Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India. sanjayiips@yahoo.co.in
Plos One
|November 3, 2011
Summary
Multidimensional poverty measurement reveals significant disparities in child survival, particularly impacting the severely deprived. Addressing multiple deprivations is crucial for poverty reduction and improving child survival rates.
Area of Science:
- Public Health
- Development Economics
- Social Sciences
Background:
- Multidimensional poverty is recognized across disciplines but its measurement and application remain limited.
- Existing development agendas acknowledge multidimensional poverty, yet practical implementation faces challenges.
Purpose of the Study:
- To measure multidimensional poverty in India using unit data from the National Family and Health Survey 3.
- To examine the relationship between multidimensional poverty and child survival, specifically infant mortality and under-five mortality.
Main Methods:
- Utilized unit data from the National Family and Health Survey 3, India.
- Measured multidimensional poverty across knowledge, health, and wealth dimensions.
- Employed descriptive statistics, principal component analyses, and life table methods.
Main Results:
- Robust estimates of multidimensional poverty show significant inter-state differentials.
- Infant and under-five mortality rates are disproportionately higher among the severely poor compared to the non-poor.
- National-level child survival shows no significant differences among the educationally, economically, or health-poor; state patterns are mixed.
Conclusions:
- Multidimensional poverty measures effectively identify individuals trapped in poverty.
- Child survival rates are significantly lower for the severely poor compared to moderate poor and non-poor populations.
- Promoting the concept of multiple deprivations in research and programs is essential for poverty and inequality reduction.
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