Poverty and inequality in Vietnam: spatial patterns and geographic determinants

This study uses a relatively new method called “small area estimation” to estimate various measures of poverty and inequality for provinces, districts, and communes of Vietnam. The method was applied by combining information from the 1997-98 Vietnam Living Standards Survey and the 1999 Population an...

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Autores principales: Minot, Nicholas, Baulch, Bob, Epprecht, Michael
Formato: Informe técnico
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2006
Materias:
Acceso en línea:https://hdl.handle.net/10568/160455
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author Minot, Nicholas
Baulch, Bob
Epprecht, Michael
author_browse Baulch, Bob
Epprecht, Michael
Minot, Nicholas
author_facet Minot, Nicholas
Baulch, Bob
Epprecht, Michael
author_sort Minot, Nicholas
collection Repository of Agricultural Research Outputs (CGSpace)
description This study uses a relatively new method called “small area estimation” to estimate various measures of poverty and inequality for provinces, districts, and communes of Vietnam. The method was applied by combining information from the 1997-98 Vietnam Living Standards Survey and the 1999 Population and Housing Census... Mapping the density of poverty reveals that, although the poverty rates are highest in the remote upland areas, these areas are sparsely populated so most of the poor live in the Red River Delta and the Mekong River Delta... This analysis confirms other studies indicating that the inequality in per capita expenditure is relatively low in Vietnam by international standards. Inequality is greatest in the large cities and (surprisingly) in parts of the upland areas. Inequality is lowest in the Red River Delta, followed by the Mekong Delta. Just one-third of the inequality is found between districts and two-thirds within them, suggesting that district-level targeting of anti-poverty programs may not be very effective... Finally, the study notes that the small area estimation method is not very useful for annual poverty mapping because it relies on census data, but it could be used to show detailed spatial patterns in other variables of interest to policymakers, such as income diversification, agricultural market surplus, and vulnerability. Furthermore, it can be used to estimate poverty rates among vulnerable populations too small to be studied with household survey data, such as the disabled, small ethnic minorities, or fishermen.
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spelling CGSpace1604552025-11-06T05:36:07Z Poverty and inequality in Vietnam: spatial patterns and geographic determinants Minot, Nicholas Baulch, Bob Epprecht, Michael geographic information systems statistical methods spatial distribution This study uses a relatively new method called “small area estimation” to estimate various measures of poverty and inequality for provinces, districts, and communes of Vietnam. The method was applied by combining information from the 1997-98 Vietnam Living Standards Survey and the 1999 Population and Housing Census... Mapping the density of poverty reveals that, although the poverty rates are highest in the remote upland areas, these areas are sparsely populated so most of the poor live in the Red River Delta and the Mekong River Delta... This analysis confirms other studies indicating that the inequality in per capita expenditure is relatively low in Vietnam by international standards. Inequality is greatest in the large cities and (surprisingly) in parts of the upland areas. Inequality is lowest in the Red River Delta, followed by the Mekong Delta. Just one-third of the inequality is found between districts and two-thirds within them, suggesting that district-level targeting of anti-poverty programs may not be very effective... Finally, the study notes that the small area estimation method is not very useful for annual poverty mapping because it relies on census data, but it could be used to show detailed spatial patterns in other variables of interest to policymakers, such as income diversification, agricultural market surplus, and vulnerability. Furthermore, it can be used to estimate poverty rates among vulnerable populations too small to be studied with household survey data, such as the disabled, small ethnic minorities, or fishermen. 2006 2024-11-21T09:50:50Z 2024-11-21T09:50:50Z Report https://hdl.handle.net/10568/160455 en Open Access application/pdf International Food Policy Research Institute Minot, Nicholas; Baulch, Bob; Epprecht, Michael. Poverty and inequality in Vietnam: spatial patterns and geographic determinants. Research Report. 148. International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/0896291510.
spellingShingle geographic information systems
statistical methods
spatial distribution
Minot, Nicholas
Baulch, Bob
Epprecht, Michael
Poverty and inequality in Vietnam: spatial patterns and geographic determinants
title Poverty and inequality in Vietnam: spatial patterns and geographic determinants
title_full Poverty and inequality in Vietnam: spatial patterns and geographic determinants
title_fullStr Poverty and inequality in Vietnam: spatial patterns and geographic determinants
title_full_unstemmed Poverty and inequality in Vietnam: spatial patterns and geographic determinants
title_short Poverty and inequality in Vietnam: spatial patterns and geographic determinants
title_sort poverty and inequality in vietnam spatial patterns and geographic determinants
topic geographic information systems
statistical methods
spatial distribution
url https://hdl.handle.net/10568/160455
work_keys_str_mv AT minotnicholas povertyandinequalityinvietnamspatialpatternsandgeographicdeterminants
AT baulchbob povertyandinequalityinvietnamspatialpatternsandgeographicdeterminants
AT epprechtmichael povertyandinequalityinvietnamspatialpatternsandgeographicdeterminants