Mapping natural resource-based poverty, with an application to rural Syria
Eddy De Pauw,
Roberto La Rovere and
Food Policy, 2010, vol. 35, issue 1, 41-50
This study presents advances in resource-based poverty mapping. It illustrates how agricultural income distribution maps can be generated at small pixel-level, providing an application of the approach in rural Syria. Census data on agriculture and population are disaggregated based on pixel-level agricultural productivity coefficients derived in a GIS environment. The approach, triangulated with survey results and compared with sub-national poverty maps, shows that the better-income areas of Syria are located in the irrigated and higher-rainfall areas, though lower-income pockets exist due to the presence of ecological and topographic factors or due to high population density. The method can be used for developing high-resolution, low cost maps for rapid detection of resource-driven poverty in low income countries where agriculture is a major source of rural income, and where poverty mapping is rarely undertaken due to the high costs involved.
Keywords: Agricultural; income; distribution; Poverty; map; Natural; resource; endowment; Syria (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jfpoli:v:35:y:2010:i:1:p:41-50
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