The spatial distribution of poverty in Vietnam and the potential for targeting
By N. Minot. 2002
126 citations recorded by the source corpus.
The authors combine household survey and census data to construct a provincial poverty map of Vietnam and evaluate the accuracy of geographically targeted antipoverty programs. First, they estimate per capita expenditure as a function of selected household and geographic characteristics using the 1998 Vietnam Living Standards Survey. Next, they combine the results with data on the same household characteristics from the 1999 census to estimate the incidence of poverty in each province. The results show that rural poverty is concentrated in 10 provinces in the Northern Uplands, 2 provinces in the Central Highlands, and 2 provinces in the Central Coast. The authors use Receiver Operating Characteristics curves to evaluate the effectiveness of geographic targeting. The results show that the existing poor communes system excludes large numbers of poor people, but there is potential for sharpening poverty targeting using a small number of easy-to-follow measure household characteristics.
Subfields: Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/bc537cc1d6f281aa950c7a10f8520f02fb277c61
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In Safety Research
In Sociology and Political Science
Citations in the corpus
- Exporting Out of Poverty: Provincial Poverty in Vietnam and U.S. Market Access (2011, methodology): “Furthermore, the partial correlation between the initial level of 13 The 1999 provincial poverty estimates come from Minot and Baulch (2004) while the share of ethnic minority households comes from the 1999 census.”
- Income Diversification And Poverty in the Northern Uplands of Vietnam (2006, background): “The analysis indicates, however, that diversification into highervalue crops accounted for just 6 percent of the crop income growth.”
- Choosing rural road investments to help reduce poverty. (2002, unknown): “Recent advances in combining census and householdlevel survey data to estimate poverty levels at very disaggregated regional level are promising in this respect ( Minot & Baulch, 2001 ).”