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Full-Text Articles in Asian Studies
Geographic Decomposition Of Inequality In Health And Wealth: Evidence From Cambodia, Tomoki Fujii
Geographic Decomposition Of Inequality In Health And Wealth: Evidence From Cambodia, Tomoki Fujii
Research Collection School Of Economics
Applying the small-area estimation methods to Cambodia data, we decompose the total inequality in wealth (consumption) and health (child undernutrition) indicators into within-location and between-location components. Because the knowledge of the pattern of spatial disparity in poverty and undernutrition is important for the geographic targeting of resources, we conduct a geographic decomposition of the variance of the Foster-Greere-Thorbecke index in addition to the standard decomposition exercise based on the generalized entropy measures. We find that a sizable proportion of wealth inequality is due to between-location inequality, whereas health inequality is mainly due to within-location inequality.
How Well Can We Target Aid With Rapidly Collected Data? Empirical Results For Poverty Mapping From Cambodia, Tomoki Fujii
How Well Can We Target Aid With Rapidly Collected Data? Empirical Results For Poverty Mapping From Cambodia, Tomoki Fujii
Research Collection School Of Economics
We compare commune-level poverty rankings in Cambodia based on three different methods: small-area estimation, principal component analysis using aggregate data, and interviews with local leaders. While they provide reasonably consistent rankings, the choice of the ranking method matters. In order to assess the potential losses from moving away from census-based poverty mapping, we used the concentration curve. Our calculation shows that about three-quarters of the potential gains from geographic targeting may be lost by using aggregate data. The usefulness of aggregate data in general would depend on the cost of data collection.
Geographic Decomposition Of Inequality In Health And Wealth: Evidence From Cambodia, Tomoki Fujii
Geographic Decomposition Of Inequality In Health And Wealth: Evidence From Cambodia, Tomoki Fujii
Research Collection School Of Economics
The small-area estimation developed by Elbers, Lanjouw and Lanjouw (2002, 2003), in which a census and a survey are combined to produce the estimates of welfare measures for small geographic areas, has become a standard tool for poverty analysis in developing countries. The small-area estimates are typically plotted on a map, which are commonly called a poverty map. Poverty maps proved useful for policy analysis and formulation, and have become increasingly popular among policy-makers and researchers. In Cambodia, poverty maps have been used by various international organizations, ministries and non-governmental organizations for analyzing the poverty situations for their operation areas, …
How Well Can We Target Resources With Quick-And-Dirty Data?: Empirical Results From Cambodia, Tomoki Fujii
How Well Can We Target Resources With Quick-And-Dirty Data?: Empirical Results From Cambodia, Tomoki Fujii
Research Collection School Of Economics
Proverty reduction is a top priority for international organizations, governments and non-gorvernmental organizations. The aid resources available for poverty reduction are, however, severely constrained in many countries. Minimizing the leakage of aid resources to the non-poor is a key to maximize poverty reduction with the limited amount of resources available. One Way to minimize such leakage to to target resources geographically. That is, policmakers can move resources to the poorest parts of the country. Geographic taregting can quite effective when poverty is unevenly distributed across the country, and this proves to be the case in many countries.
Micro-Level Estimation Of Child Malnutrition Indicators And Its Application In Cambodia, Tomoki Fujii
Micro-Level Estimation Of Child Malnutrition Indicators And Its Application In Cambodia, Tomoki Fujii
Research Collection School Of Economics
One of the major limitations in addressing child malnutrition is lack of information that could be used to target resources. By combining demographic and health survey (DHS) and population census data, the author disaggregates the estimates of the prevalence of child malnutrition in Cambodia from currently available 17 DHS strata into 1,594 communes. The methodology is built on the small-area estimation technique developed by Elbers, Lanjouw, and Lanjouw. The author extends it to jointly estimate multiple indicators and to allow for a richer structure of error terms. Average standard errors for the commune-level estimates in this study were about 4 …