Poverty Mapping in Rural Syria for Enhanced Targeting
AbstractPoverty maps allow assessing the well-being of rural population in a spatial context and identifying poverty hotspots. The maps can be used for regional policy analysis as they help in identifying areas where the rural poor live and where rural poverty is determined by the endowment and quality of natural resources and by population pressure. Natural resource endowment was assessed in the study by calculating an Agricultural Resource Index based on the availability of different major agricultural resources. Income per-capita was calculated by using census data, adjusted by the rural population density. The results show that the better income areas of Syria are located in the irrigated or higher-rainfall areas, but lower-income pockets exist due to the presence of various ecological and topographic factors. The study provides the elements of a 'top-down' approach for poverty mapping to disaggregate income from census sources to the pixel level based on agroecological data. It is an important advancement on methodologies to link micro and macro economic analysis to successfully map poverty in data scarce regions. However, we also critically suggest a number of practical improvements for the approach. Poverty mapping can indeed become more effective and cost-efficient if classical bottom-up approaches, based on household survey data are integrated with top-down approaches such as the one presented.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia with number 25564.
Date of creation: 2006
Date of revision:
Poverty maps; resource endowment; agricultural income distribution; GIS; Syria; Food Security and Poverty; C21; C8; D3; I3; R0;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- D3 - Microeconomics - - Distribution
- I3 - Health, Education, and Welfare - - Welfare and Poverty
- R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.