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From the ground up: Impacts of a pro-poor community-driven development project in Nigeria

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  • Nkonya, Ephraim
  • Phillip, Dayo
  • Mogues, Tewodaj
  • Pender, John
  • Kato, Edward

Abstract

"The community-driven development (CDD) approach has become increasingly popular because of its potential to develop projects that are sustainable, are responsive to local priorities, empower local communities, and more effectively target poor and vulnerable groups. The purpose of this study is to assess the impacts of Fadama II, which is a CDD project and the largest agricultural project in Nigeria. This study used propensity score matching (PSM) to select 1728 comparable project beneficiaries and non-beneficiaries. The study also used double difference methods to compare the impact indicators. Our results show that Fadama II project succeeded in targeting the poor and women farmers in its productive asset acquisition component. Participation in the project also increased the income of beneficiaries by about 60 percent, which is well above the targeted increase of only 20 percent in the six year period of the project. Regarding rural infrastructure investments, we found that the Fadama II project had positive near-term impacts on beneficiaries' access to markets and transportation costs, although the study revealed surprising effects on beneficiaries' commercial behavior and statistically insignificant impacts on nonfarm activities. We also observed that Fadama II increased the demand for postharvest handling technologies but did not have a significant impact on the demand for financial management and market information. Fadama II reduced the demand for soil fertility management technologies. The decline likely reflects the project's focus on providing postproduction advisory services and suggests the need for the project to increase its support for soil fertility management and thus limit the potential for land degradation resulting from increased agricultural productivity. Overall, the Fadama II project has achieved its goal of increasing the incomes of the beneficiaries in the first year of its operation. The project has also succeeded in targeting the poo

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Bibliographic Info

Paper provided by International Food Policy Research Institute (IFPRI) in its series Research reports with number Ephraim Nkonya, et al..

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Date of creation: 2010
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Handle: RePEc:fpr:resrep:ephraimnkonya

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Keywords: Agricultural development projects; Economic development; Poverty;

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References

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  1. Stich, Andreas, 1996. "Inequality and negative income," Discussion Papers in Statistics and Econometrics 4/96, University of Cologne, Department for Economic and Social Statistics.
  2. Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
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  4. Ghazala Mansuri, 2004. "Community-Based and -Driven Development: A Critical Review," World Bank Research Observer, World Bank Group, vol. 19(1), pages 1-39.
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  8. Conning, Jonathan & Kevane, Michael, 2002. "Community-Based Targeting Mechanisms for Social Safety Nets: A Critical Review," World Development, Elsevier, vol. 30(3), pages 375-394, March.
  9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002. "How Much Should We Trust Differences-in-Differences Estimates?," NBER Working Papers 8841, National Bureau of Economic Research, Inc.
  10. Kleemeier, Elizabeth, 2000. "The Impact of Participation on Sustainability: An Analysis of the Malawi Rural Piped Scheme Program," World Development, Elsevier, vol. 28(5), pages 929-944, May.
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  15. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
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  17. Khwaja, Asim Ijaz, 2001. "Can Good Projects Succeed in Bad Communities? Collective Action in the Himalayas," Working Paper Series rwp01-043, Harvard University, John F. Kennedy School of Government.
  18. Binswanger, Hans P. & Aiyar, Swaminathan, 2003. "Scaling up community-driven development : theoretical underpinnings and program design implications," Policy Research Working Paper Series 3039, The World Bank.
  19. Jagger, Pamela & Pender, John L., 2003. "Impacts of programs and organizations on the adoption of sustainable land management technologies in Uganda:," EPTD discussion papers 101, International Food Policy Research Institute (IFPRI).
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Citations

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Cited by:
  1. Peterman, Amber & Quisumbing, Agnes & Behrman, Julia & Nkonya, Ephraim, 2010. "Understanding gender differences in agricultural productivity in Uganda and Nigeria," IFPRI discussion papers 1003, International Food Policy Research Institute (IFPRI).
  2. Nkonya, Ephraim & von Braun, Joachim & Mirzabaev, Alisher & Le, Quang Bao & Kwon, Ho Young & Kirui, Oliver, 2013. "Economics of Land Degradation Initiative: Methods and Approach for Global and National Assessments," Discussion Papers 158663, University of Bonn, Center for Development Research (ZEF).
  3. Takeshima, Hiroyuki & Adeoti, Adetola I. & Salau, Sheu, 2011. "Measuring the effect of transaction costs for investment in irrigation pumps: Application of the unobserved stochastic threshold model to the case of Nigeria," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(2), September.
  4. Takeshima, Hiroyuki, 2012. "Onset risk and draft animal investment in nigeria:," IFPRI discussion papers 1198, International Food Policy Research Institute (IFPRI).
  5. Takeshima, Hiroyuki & Adeoti, Adetola I. & Salau, Sheu, 2010. "Measuring the effect of transaction costs for investment in irrigation pumps: Application of unobserved stochastic threshold model to the case of Nigeria," NSSP working papers 15, International Food Policy Research Institute (IFPRI).
  6. Takeshima, Hiroyuki & Yamauchi, Futoshi, 2010. "Market and climatic risks and farmers' investment in productive assets under the Second Fadama Development Project in Nigeria:," IFPRI discussion papers 1033, International Food Policy Research Institute (IFPRI).

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