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Community Targeting for Poverty Reduction in Burkina Faso

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  • Bigman, David, et al

Abstract

This article develops a method for targeting antipoverty programs and public projects to poor communities in rural and urban areas. The method calls for constructing an extensive data set from a large number of sources and then integrating the entire set into a geographic information system. The data set includes demographic data from the population census; household-level data from a variety of surveys; community-level data on local road infrastructure, public facilities, water points, and so on; and department-level data on agroclimatic conditions. An econometric model that estimates the impact of household-, community-, and department-level variables on household consumption is used to identify the key explanatory variables that determine the standard of living in rural and urban areas. This model is then applied to predict poverty indicators for 3,871 rural and urban communities in Burkina Faso and to map the spatial distribution of poverty in the country. A simulation analysis assesses the effectiveness of village-level targeting based on these predictions. The results show that such targeting is an improvement over regional targeting in that it reduces leakage and undercoverage. Copyright 2000 by Oxford University Press.

Suggested Citation

  • Bigman, David, et al, 2000. "Community Targeting for Poverty Reduction in Burkina Faso," The World Bank Economic Review, World Bank, vol. 14(1), pages 167-193, January.
    • Handle: RePEc:oup:wbecrv:v:14:y:2000:i:1:p:167-93
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    Citations

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    Cited by:

    1. Chikako Yamauchi, 2010. "Community-Based Targeting and Initial Local Conditions: Evidence from Indonesia's IDT Program," Economic Development and Cultural Change, University of Chicago Press, vol. 59(1), pages 95-147, October.
    2. William Ascher, 2021. "Coping with intelligence deficits in poverty-alleviation policies in low-income countries," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(2), pages 345-370, June.
    3. Simler, Kenneth R. & Nhate, Virgulino, 2005. "Poverty, inequality, and geographic targeting: Evidence from Small-Area Estimates in Mozambique," FCND discussion papers 192, International Food Policy Research Institute (IFPRI).
    4. Johannes Gräb & Michael Grimm, 2008. "Spatial inequalities explained - Evidence from Burkina Faso," Ibero America Institute for Econ. Research (IAI) Discussion Papers 173, Ibero-America Institute for Economic Research.
    5. Benjamin Davis, 2002. "Is it Possible to Avoid a Lemon? Reflections on Choosing a Poverty Mapping Method," Working Papers in Food Policy and Nutrition 08, Friedman School of Nutrition Science and Policy.
    6. Graw, Valerie & Husmann, Christine Ladenburger, 2012. "Mapping Marginality Hotspots – Geographical Targeting for Poverty Reduction," Working Papers 147917, University of Bonn, Center for Development Research (ZEF).
    7. Farrow, Andrew & Larrea, Carlos & Hyman, Glenn & Lema, German, 2005. "Exploring the spatial variation of food poverty in Ecuador," Food Policy, Elsevier, vol. 30(5-6), pages 510-531.
    8. Romina Cavatassi & Benjamin Davis & Leslie Lipper, 2004. "Estimating Poverty Over Time and Space: Construction of a time-variant poverty index for Costa Rica," Working Papers 04-21, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    9. Jayne, Thomas S. & Strauss, John & Yamano, Takashi & Molla, Daniel, 2002. "Targeting of food aid in rural Ethiopia: chronic need or inertia?," Journal of Development Economics, Elsevier, vol. 68(2), pages 247-288, August.
    10. Mogues, Tewodaj & Petracco, Carly & Randriamamonjy, Josee, 2011. "The wealth and gender distribution of rural services in Ethiopia: A public expenditure benefit incidence analysis," IFPRI discussion papers 1057, International Food Policy Research Institute (IFPRI).
    11. Claudio A. Agostini & Philip H. Brown, 2011. "Cash Transfers And Poverty Reduction In Chile," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 604-625, August.
    12. Nikos Tzavidis & Nicola Salvati & Monica Pratesi & Ray Chambers, 2008. "M-quantile models with application to poverty mapping," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 393-411, July.
    13. Bigman, David & Srinivasan, P. V., 2002. "Geographical targeting of poverty alleviation programs: methodology and applications in rural India," Journal of Policy Modeling, Elsevier, vol. 24(3), pages 237-255, June.
    14. Kiran, Rubina & Jabbar, Abdul, 2022. "Policy-oriented food insecurity estimation and mapping at district level in Pakistan," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(4), December.
    15. Bellon, Mauricio R. & Hodson, David & Bergvinson, David & Beck, David & Martinez-Romero, Eduardo & Montoya, Yinha, 2005. "Targeting agricultural research to benefit poor farmers: Relating poverty mapping to maize environments in Mexico," Food Policy, Elsevier, vol. 30(5-6), pages 476-492.
    16. Hyman, Glenn & Larrea, Carlos & Farrow, Andrew, 2005. "Methods, results and policy implications of poverty and food security mapping assessments," Food Policy, Elsevier, vol. 30(5-6), pages 453-460.
    17. Nicholas Minot & Bob Baulch, 2005. "Poverty Mapping with Aggregate Census Data: What is the Loss in Precision?," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 5-24, February.
    18. Tomoki Fujii, 2004. "Commune-Level Estimation of Poverty Measures and its Application in Cambodia," WIDER Working Paper Series RP2004-48, World Institute for Development Economic Research (UNU-WIDER).
    19. Francken, Nathalie & Minten, Bart & Swinnen, Johan F.M., 2012. "The Political Economy of Relief Aid Allocation: Evidence from Madagascar," World Development, Elsevier, vol. 40(3), pages 486-500.
    20. Jayne, T. S. & Strauss, John & Yamano, Takashi & Molla, Daniel, 2001. "Giving to the Poor? Targeting of Food Aid in Rural Ethiopia," World Development, Elsevier, vol. 29(5), pages 887-910, May.
    21. Jehu-Appiah, Caroline & Aryeetey, Genevieve & Spaan, Ernst & Agyepong, Irene & Baltussen, Rob, 2010. "Efficiency, equity and feasibility of strategies to identify the poor: An application to premium exemptions under National Health Insurance in Ghana," Health Policy, Elsevier, vol. 95(2-3), pages 166-173, May.

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