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A poverty-sensitive scorecard to prioritize lending and grant allocation: Evidence from Central America

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  • Hernandez, Manuel A.
  • Torero, Maximo

Abstract

Development projects are generally subject to a potential tradeoff between sustainability and poverty reduction. Grants are also commonly assigned without a standardized criterion. This paper proposes an innovative scoring tool that combines both a risk and poverty scorecard to prioritize lending and grant allocation. We implement and test the instrument through a competitive fund for demand-driven projects in Central America intended to better link smallholder farmers to markets and improve their welfare. The evaluation results show that the highest ranked projects generally have a larger economic impact on their beneficiaries than lower ranked projects. We observe a larger effect on income, access to credit and access to local markets, and the relative differences are stronger over time between the highest ranked projects and the lowers rank ones. The proposed scorecard tool is intended to better ensure the accountability and sustainability of development funds and can be easily adapted to different contexts.

Suggested Citation

  • Hernandez, Manuel A. & Torero, Maximo, 2018. "A poverty-sensitive scorecard to prioritize lending and grant allocation: Evidence from Central America," Food Policy, Elsevier, vol. 77(C), pages 81-90.
    • Handle: RePEc:eee:jfpoli:v:77:y:2018:i:c:p:81-90
    DOI: 10.1016/j.foodpol.2018.04.006
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    References listed on IDEAS

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    1. Manuel Hernandez & Maximo Torero, 2014. "Parametric versus nonparametric methods in risk scoring: an application to microcredit," Empirical Economics, Springer, vol. 46(3), pages 1057-1079, May.
    2. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    3. Adams, Dale W. & Graham, Douglas H., 1981. "A critique of traditional agricultural credit projects and policies," Journal of Development Economics, Elsevier, vol. 8(3), pages 347-366, June.
    4. Shahidur R. Khandker, 2005. "Microfinance and Poverty: Evidence Using Panel Data from Bangladesh," The World Bank Economic Review, World Bank, vol. 19(2), pages 263-286.
    5. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    6. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    7. Bulte, Erwin H. & Damania, Richard & Lopez, Ramon, 2007. "On the gains of committing to inefficiency: Corruption, deforestation and low land productivity in Latin America," Journal of Environmental Economics and Management, Elsevier, vol. 54(3), pages 277-295, November.
    8. repec:idb:brikps:82331 is not listed on IDEAS
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    10. T.S. Jayne & Shahidur Rashid, 2013. "Input subsidy programs in sub-Saharan Africa: a synthesis of recent evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 547-562, November.
    11. Braverman, Avishay & Guasch, J. Luis, 1986. "Rural credit markets and institutions in developing countries: Lessons for policy analysis from practice and modern theory," World Development, Elsevier, vol. 14(10-11), pages 1253-1267.
    12. Qi Li & Jeffrey Scott Racine, 2006. "Density Estimation, from Nonparametric Econometrics: Theory and Practice," Introductory Chapters, in: Nonparametric Econometrics: Theory and Practice, Princeton University Press.
    13. Minot, Nicholas & Benson, Todd, 2009. "Fertilizer subsidies in Africa: Are vouchers the answer?," Issue briefs 60, International Food Policy Research Institute (IFPRI).
    14. McPherson, Michael A., 1996. "Growth of micro and small enterprises in southern Africa," Journal of Development Economics, Elsevier, vol. 48(2), pages 253-277, March.
    15. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Nydia M. Reyes, 2013. "A Social Approach to Microfinance Credit Scoring," Working Papers CEB 13-013, ULB -- Universite Libre de Bruxelles.
    16. Seibel, Hans Dieter, 2000. "Agricultural Development Banks: Close them or reform them?," Working Papers 2000,4, University of Cologne, Development Research Center.
    17. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
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    More about this item

    Keywords

    Poverty scoring; Risk scoring; Lending; Grant allocation; Smallholder farmers; Central America;
    All these keywords.

    JEL classification:

    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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