The Spatial Distribution of Poverty in Vietnam and the Potential for Targeting

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.

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Bibliographic Details
Main Authors: Minot, Nicholas, Baulch, Bob
Language:English
en_US
Published: World Bank, Washington, D.C. 2002-04
Subjects:POVERTY MEASUREMENT, HOUSEHOLD SURVEYS, CENSUSES, GEOGRAPHICAL TARGETING, ANTI-POVERTY POLICY, LIVING STANDARDS INDICATORS, POVERTY INCIDENCE, COMMUNAL SETTLEMENTS ADULT EQUIVALENT, CENSUS DATA, CONFIDENCE INTERVAL, CONSUMPTION EXPENDITURE, COVARIANCE MATRIX, DATA SETS, DEPENDENT VARIABLE, DESCRIPTIVE STATISTICS, DEVELOPMENT ECONOMICS, DEVELOPMENT ISSUES, DEVELOPMENT RESEARCH, DEVELOPMENT STUDIES, ECONOMIC DEVELOPMENT, ECONOMIC THEORY, ECONOMIES OF SCALE, EDUCATIONAL LEVEL, EQUIVALENT INCOME, ERROR TERM, ETHNIC MINORITIES, EXPLANATORY VARIABLES, EXTREME POVERTY, FARM HOUSEHOLDS, FOOD EXPENDITURES, FOOD POLICY RESEARCH, FOOD POVERTY, FOOD POVERTY LINE, FUNCTIONAL FORM, GEOGRAPHIC AREAS, GEOGRAPHIC CHARACTERISTICS, GEOGRAPHIC TARGETING, HEADCOUNT POVERTY, HEADCOUNT POVERTY RATES, HOUSEHOLD CHARACTERISTICS, HOUSEHOLD COMPOSITION, HOUSEHOLD HEAD, HOUSEHOLD INCOME, HOUSEHOLD LEVEL, HOUSEHOLD MEMBER, HOUSEHOLD SIZE, HOUSEHOLD SURVEY, HOUSEHOLD WELFARE, IMPROVED HEALTH, INDIVIDUAL HOUSEHOLDS, LIVING STANDARDS, LIVING STANDARDS SURVEY, MARGINAL EFFECT, NEGATIVE SIGN, NON-POOR HOUSEHOLDS, NUTRITION, OVERALL POVERTY LINE, PARTIAL DERIVATIVES, PER CAPITA CONSUMPTION, PER CAPITA EXPENDITURE, POLICY IMPLICATIONS, POLICY RESEARCH, POLITICAL LEADER, POOR HOUSEHOLDS, POPULATION CENSUS, POVERTY ANALYSIS, POVERTY ESTIMATES, POVERTY HEADCOUNT, POVERTY LINE, POVERTY MAP, POVERTY RATES, POVERTY TARGETING, PRIMARY SCHOOL, QUANTITATIVE POVERTY, RANDOM SAMPLE, REGIONAL DISPARITIES, REGRESSION MODELS, RESEARCH INSTITUTE, RURAL AREAS, RURAL HOUSEHOLDS, RURAL POVERTY, SAMPLE HOUSEHOLDS, SAMPLE SIZE, SIGNIFICANT EFFECT, SOCIAL ASSISTANCE, SPATIAL DISTRIBUTION, STANDARD ERRORS, STATISTICS OFFICE, SURVEY DATA, TECHNICAL ASSISTANCE, TECHNICAL SUPPORT, TOTAL POPULATION, URBAN AREAS, URBAN HOUSEHOLDS, URBAN WORKERS, WELFARE INDICATORS,
Online Access:http://documents.worldbank.org/curated/en/2002/04/1764561/spatial-distribution-poverty-vietnam-potential-targeting
https://hdl.handle.net/10986/14811
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Summary: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.