INVESTIGADORES
SANTOS Maria Emma
congresos y reuniones científicas
Título:
Multidimensional Poverty in Bhutan: Estimates and Policy Implications
Autor/es:
SANTOS, MARIA EMMA; KARMA, URA
Lugar:
Nueva Deli
Reunión:
Conferencia; 2008 Human Development and capability Association Annual Meeting; 2008
Institución organizadora:
Human Development and Capability Association
Resumen:
This paper estimates multidimensional poverty in Bhutan applying a recently developed methodology by Alkire and Foster (2007) using the 2007 Bhutan Living Standard Survey data. Five dimensions are considered for estimations in both rural and urban areas (income, education, room availability, access to electricity and access to drinking water) and two additional dimensions are considered for estimates in rural areas only (access to roads and land ownership). Also, two alternative weighting systems are used: a baseline using equal weights for every dimension and another one using weights derived from the Gross National Happiness Survey (GNHS). Estimates are decomposed into rural and urban areas, by dimension and between districts. It is found that multidimensional poverty is mainly a rural phenomenon, although urban areas present non-depreciable levels of deprivation in room availability and education. Within rural areas, when equal weights are used, deprivation in electricity, education, room and income are the ones with the highest and similar contributions to aggregate multidimensional poverty, while land deprivation comes at a second place, and deprivation in water at the last one. When GNHS weights are used, income deprivation has the highest contribution, followed by deprivation in education, access to roads, room, electricity, land and, finally, water. Districts are ranked by their multidimensional poverty estimate and rankings are found to be robust for a wide range of poverty cutoffs. Then, the methodology is suggested as a potential formula for national poverty measurement as well as a tool for budget allocation among districts and, within them, among dimensions.
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