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Full-Text Articles in Social and Behavioral Sciences
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.
How Does Vietnam's Accession To The World Trade Organization Change The Spatial Incidence Of Poverty?, Tomoki Fujii, David Roland-Holst
How Does Vietnam's Accession To The World Trade Organization Change The Spatial Incidence Of Poverty?, Tomoki Fujii, David Roland-Holst
Research Collection School Of Economics
Trade liberalization is good for growth, and growth is good for the poor. This argument is simple but powerful. It has served as the departure point for discussion of the link between trade and poverty among economists and policy-makers, regardless of whether and to what extent they buy this argument. Krueger (1998) considers the inefficiencies that import substitution strategy creates and argues that trade liberalization undertaken at a period of low or negative growth rates can normally lead to a period of higher growth rates. Bhagwati and Srinivasan (2002) emphasize the empirical evidence of China and India. That is, these …