IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/756.html
   My bibliography  Save this paper

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

Author

Listed:
  • Nkonya, Ephraim
  • Phillip, Dayo
  • Mogues, Tewodaj
  • Pender, John
  • Yahaya, Muhammed Kuta
  • Adebowale, Gbenga
  • Arokoyo, Tunji
  • 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 poor and vulnerable in its productive-asset component, even though that did not appear to increase significantly short-term household incomes among the poorest asset tercile. The unique feature that could have contributed to the significant impact of the project in a short time is its broad-based approach, which addresses the major constraints limiting the success of CDD projects that address only one or two constraints. This has implications on planning poverty reduction efforts in low-income countries. Given that the poor face numerous constraints, a CDD project that simultaneously addresses many constraints will likely build synergies that will lead to larger impacts than will a project that addresses only one or two constraints. This suggests the need for the government and donors to pool resources and initiate multipronged CDD projects rather than many isolated projects." from Author's Abstract

Suggested Citation

  • Nkonya, Ephraim & Phillip, Dayo & Mogues, Tewodaj & Pender, John & Yahaya, Muhammed Kuta & Adebowale, Gbenga & Arokoyo, Tunji & Kato, Edward, 2008. "From the ground up: Impacts of a pro-poor community-driven development project in Nigeria," IFPRI discussion papers 756, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:756
    as

    Download full text from publisher

    File URL: http://www.ifpri.org/sites/default/files/publications/ifpridp00756.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ghazala Mansuri, 2004. "Community-Based and -Driven Development: A Critical Review," World Bank Research Observer, World Bank Group, vol. 19(1), pages 1-39.
    2. 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.
    3. 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.
    4. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    5. Salter, Ammon J. & Martin, Ben R., 2001. "The economic benefits of publicly funded basic research: a critical review," Research Policy, Elsevier, vol. 30(3), pages 509-532, March.
    6. Bouman, F. J. A., 1995. "Rotating and accumulating savings and credit associations: A development perspective," World Development, Elsevier, vol. 23(3), pages 371-384, March.
    7. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    8. 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).
    9. Stich, Andreas, 1996. "Inequality and negative income," Discussion Papers in Econometrics and Statistics 4/96, University of Cologne, Institute of Econometrics and Statistics.
    10. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    11. 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.
    12. Chen, Chau-Nan & Tsaur, Tien-Wang & Rhai, Tong-Shieng, 1982. "The Gini Coefficient and Negative Income," Oxford Economic Papers, Oxford University Press, vol. 34(3), pages 473-478, November.
    13. 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.
    14. 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.
    15. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    16. Frances Cleaver, 1999. "Paradoxes of participation: questioning participatory approaches to development," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(4), pages 597-612.
    17. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    18. Berrebi, Z M & Silber, Jacques, 1985. "The Gini Coefficient and Negative Income: A Comment," Oxford Economic Papers, Oxford University Press, vol. 37(3), pages 525-526, September.
    19. Alston, Julian M. & Pardey, Philip G., 2001. "Attribution and other problems in assessing the returns to agricultural R&D," Agricultural Economics, Blackwell, vol. 25(2-3), pages 141-152, September.
    20. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. World Bank, 2009. "Economy-Wide Impact of Oil Discovery in Ghana," World Bank Publications - Reports 18903, The World Bank Group.
    2. Takeshima, Hiroyuki, 2012. "Onset risk and draft animal investment in nigeria:," IFPRI discussion papers 1198, International Food Policy Research Institute (IFPRI).
    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), pages 1-26, September.
    4. 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).
    5. Nkonya, Ephraim & von Braun, Joachim & Mirzabaev, Alisher & Le, Quang Bao & Kwon, Ho Young & Kirui, Oliver K., 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).
    6. 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).
    7. Ayanwale, Adeolu B. & Olarinde, Luke O. & Oladunni, Olufemi A. & Nokoe, Kaku S. & Adekunle, Adewale A. & Fatunbi, Oluwole, 2013. "Enhancing Smallholder Farmers Income and Food Security through Agricultural Research and Development in West Africa: Impact of the IAR4D1 in the KKM PLS," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160575, African Association of Agricultural Economists (AAAE).
    8. Hugh Waddington & Birte Snilstveit & Jorge Hombrados & Martina Vojtkova & Daniel Phillips & Philip Davies & Howard White, 2014. "Farmer Field Schools for Improving Farming Practices and Farmer Outcomes: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 10(1), pages -335.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nkonya, Ephraim & Phillip, Dayo & Mogues, Tewodaj & Pender, John & Kato, Edward, 2012. "Impacts of Community-driven Development Programs on Income and Asset Acquisition in Africa: The Case of Nigeria," World Development, Elsevier, vol. 40(9), pages 1824-1838.
    2. Davis, K. & Nkonya, E. & Kato, E. & Mekonnen, D.A. & Odendo, M. & Miiro, R. & Nkuba, J., 2012. "Impact of Farmer Field Schools on Agricultural Productivity and Poverty in East Africa," World Development, Elsevier, vol. 40(2), pages 402-413.
    3. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    4. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    5. Nguyen Viet, Cuong, 2006. "An Introduction to Alternative Methods in Program Impact Evaluation," MPRA Paper 24900, University Library of Munich, Germany.
    6. Martey, Edward & Kuwornu, John K.M. & Adjebeng-Danquah, Joseph, 2019. "Estimating the effect of mineral fertilizer use on Land productivity and income: Evidence from Ghana," Land Use Policy, Elsevier, vol. 85(C), pages 463-475.
    7. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    8. Vijayendra Rao & Ana Maria Ibanez, 2005. "The Social Impact of Social Funds in Jamaica: A 'Participatory Econometric' Analysis of Targeting, Collective Action, and Participation in Community-Driven Development," Journal of Development Studies, Taylor & Francis Journals, vol. 41(5), pages 788-838.
    9. Barbara Pozzoni & Nalini Kumar, 2005. "A Review of the Literature on Participatory Approaches to Local Development for an Evaluation of the Effectiveness of World Bank Support for Community-Based and Driven Development Approaches," World Bank Publications - Books, The World Bank Group, number 20203.
    10. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    11. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).
    12. James J. Heckman & Petra E. Todd, 2009. "A note on adapting propensity score matching and selection models to choice based samples," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 230-234, January.
    13. Marco Vega & Diego Winkelried, 2005. "Inflation Targeting and Inflation Behavior: A Successful Story?," International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
    14. Geoffroy Enjolras & Magali Aubert, 2020. "How does crop insurance influence pesticide use? Evidence from French farms," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 461-485, December.
    15. Dillon, Andrew, 2011. "The Effect of Irrigation on Poverty Reduction, Asset Accumulation, and Informal Insurance: Evidence from Northern Mali," World Development, Elsevier, vol. 39(12), pages 2165-2175.
    16. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    17. Juan Díaz & Miguel Jaramillo, 2006. "An Evaluation of the Peruvian "Youth Labor Training Program"-PROJOVEN," OVE Working Papers 1006, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    18. Marcus Eliason & Donald Storrie, 2003. "The Echo of Job Displacement," William Davidson Institute Working Papers Series 2003-618, William Davidson Institute at the University of Michigan.
    19. Kent Eliasson & Pär Hansson & Markus Lindvert, 2012. "Do firms learn by exporting or learn to export? Evidence from small and medium-sized enterprises," Small Business Economics, Springer, vol. 39(2), pages 453-472, September.
    20. Jose C. Galdo & Jeffrey Smith & Dan Black, 2008. "Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data," Annals of Economics and Statistics, GENES, issue 91-92, pages 189-216.

    More about this item

    Keywords

    Community driven development; Poverty reduction; Propensity score matching; Difference-in-difference; Fadama;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fpr:ifprid:756. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.