Generating disaggregated poverty maps: an application to Viet Nam

Geographic targeting is often recommended as a way to improve the impact of social spending and infrastructure investments on rural poverty. Previous research shows that such targeting is not very accurate unless the geographic units are small. Household surveys, however, rarely allow the estimation...

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Detalles Bibliográficos
Autor principal: Minot, Nicholas
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 1998
Materias:
Acceso en línea:https://hdl.handle.net/10568/161229
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author Minot, Nicholas
author_browse Minot, Nicholas
author_facet Minot, Nicholas
author_sort Minot, Nicholas
collection Repository of Agricultural Research Outputs (CGSpace)
description Geographic targeting is often recommended as a way to improve the impact of social spending and infrastructure investments on rural poverty. Previous research shows that such targeting is not very accurate unless the geographic units are small. Household surveys, however, rarely allow the estimation of poverty rates for more than 5-10 regions in a country. This study develops a method for generating disaggregated poverty maps and applies the method to Viet Nam. First, the relationship between rural poverty and 25 household indicators is estimated using household survey data. Then, census data on those same indicators are used to estimate the poverty rates for each of the 543 rural districts in Viet Nam. The results indicate that poverty is concentrated in the north and in districts furthest from the coast and cities.
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spelling CGSpace1612292025-11-06T05:44:22Z Generating disaggregated poverty maps: an application to Viet Nam Minot, Nicholas poverty infrastructure social services Geographic targeting is often recommended as a way to improve the impact of social spending and infrastructure investments on rural poverty. Previous research shows that such targeting is not very accurate unless the geographic units are small. Household surveys, however, rarely allow the estimation of poverty rates for more than 5-10 regions in a country. This study develops a method for generating disaggregated poverty maps and applies the method to Viet Nam. First, the relationship between rural poverty and 25 household indicators is estimated using household survey data. Then, census data on those same indicators are used to estimate the poverty rates for each of the 543 rural districts in Viet Nam. The results indicate that poverty is concentrated in the north and in districts furthest from the coast and cities. 1998 2024-11-21T09:54:18Z 2024-11-21T09:54:18Z Working Paper https://hdl.handle.net/10568/161229 en Open Access application/pdf International Food Policy Research Institute Minot, Nicholas. 1998. Generating disaggregated poverty maps;an application to Viet Nam. MTID Discussion Paper 25. https://hdl.handle.net/10568/161229
spellingShingle poverty
infrastructure
social services
Minot, Nicholas
Generating disaggregated poverty maps: an application to Viet Nam
title Generating disaggregated poverty maps: an application to Viet Nam
title_full Generating disaggregated poverty maps: an application to Viet Nam
title_fullStr Generating disaggregated poverty maps: an application to Viet Nam
title_full_unstemmed Generating disaggregated poverty maps: an application to Viet Nam
title_short Generating disaggregated poverty maps: an application to Viet Nam
title_sort generating disaggregated poverty maps an application to viet nam
topic poverty
infrastructure
social services
url https://hdl.handle.net/10568/161229
work_keys_str_mv AT minotnicholas generatingdisaggregatedpovertymapsanapplicationtovietnam