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Are Matching Funds for Smallholder Irrigation Money Well Spent?

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  • Mullally, Conner
  • Chakravarty, Shourish

Abstract

Groundwater irrigation can dramatically affect agricultural production and productivity. Despite its potential as an agricultural development tool, little credible evidence exists for the impacts of groundwater development on smallholder agriculture. We add to the evidence on the benefits of irrigation investments for small producers by evaluating the Rural Business Development (RBD) program of the Millennium Challenge Corporation in Nicaragua for small plantain producers. The RBD program offered matching funds covering up to 30% of the cost of two years of inputs, extension services, and diesel-powered micro-sprinkler irrigation for individual farms. In order to estimate the average impact of the RBD program on its beneficiaries, we combine model selection via the LASSO with doubly robust treatment effect estimation as applied to two years of panel data for 146 producers. We find that the program had substantial impacts on plantain revenue and production, while achieving nearly complete irrigation coverage of plantain land among beneficiaries. We find no discernible impact on household expenditure.

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  • Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz, Center for Open Science.
  • Handle: RePEc:osf:socarx:x5vmz
    DOI: 10.31219/osf.io/x5vmz
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    1. Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Andrew Dillon, 2011. "Do Differences in the Scale of Irrigation Projects Generate Different Impacts on Poverty and Production?," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 474-492, June.
    3. Carter, Michael R. & Tjernström, Emilia & Toledo, Patricia, 2019. "Heterogeneous impact dynamics of a rural business development program in Nicaragua," Journal of Development Economics, Elsevier, vol. 138(C), pages 77-98.
    4. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    5. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    6. Shenggen Fan & Ashok Gulati & Sukhadeo Thorat, 2008. "Investment, subsidies, and pro‐poor growth in rural India," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 163-170, September.
    7. Marrit Van Den Berg & Ruerd Ruben, 2006. "Small-Scale irrigation and income distribution in Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 42(5), pages 868-880.
    8. Edwards, Eric C. & Smith, Steven M., 2018. "The Role of Irrigation in the Development of Agriculture in the United States," The Journal of Economic History, Cambridge University Press, vol. 78(4), pages 1103-1141, December.
    9. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    10. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    11. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    12. Zhu, Mu & Ghodsi, Ali, 2006. "Automatic dimensionality selection from the scree plot via the use of profile likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 918-930, November.
    13. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    14. 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.
    15. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    16. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    17. Ximena V. Del Carpio & Norman Loayza & Gayatri Datar, 2011. "Is Irrigation Rehabilitation Good for Poor Farmers? An Impact Evaluation of a Non‐Experimental Irrigation Project in Peru," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 449-473, June.
    18. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    19. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    20. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    21. Huang, Qiuqiong & Rozelle, Scott & Lohmar, Bryan & Huang, Jikun & Wang, Jinxia, 2006. "Irrigation, agricultural performance and poverty reduction in China," Food Policy, Elsevier, vol. 31(1), pages 30-52, February.
    22. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    23. Ton, Giel & Klerkx, Laurens & de Grip, Karin & Rau, Marie-Luise, 2015. "Innovation grants to smallholder farmers: Revisiting the key assumptions in the impact pathways," Food Policy, Elsevier, vol. 51(C), pages 9-23.
    24. Fitsum Hagos & Gayathri Jayasinghe & Seleshi Bekele Awulachew & Mekonnen Loulseged & Aster Denekew Yilma, 2012. "Agricultural water management and poverty in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 99-111, November.
    25. Agnes R. Quisumbing & Ruth Meinzen-Dick & Terri L. Raney & André Croppenstedt & Julia A. Behrman & A (ed.), 2014. "Gender in Agriculture," Springer Books, Springer, edition 127, number 978-94-017-8616-4, July.
    26. Conner Mullally & Alessandro Maffioli, 2016. "Extension and Matching Grants for Improved Management: An Evaluation of the Uruguayan Livestock Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 333-350.
    27. Susan Athey & Guido Imbens, 2015. "A Measure of Robustness to Misspecification," American Economic Review, American Economic Association, vol. 105(5), pages 476-480, May.
    28. Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
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    Cited by:

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    4. Hossain, Marup & Mabiso, Athur & Garbero, Alessandra, 2022. "Matching grants and economic activities among horticultural entrepreneurs: Long-term evidence from Rwanda," World Development, Elsevier, vol. 150(C).
    5. Marup Hossain & Tisorn Songsermsawas & Robinson H. Toguem, 2024. "The role of access to finance in disaster recovery: Evidence from coastal communities in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 218-234, February.
    6. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.
    7. Zewdie, Markose Chekol & Van Passel, Steven & Moretti, Michele & Annys, Sofie & Tenessa, Daregot Berihun & Ayele, Zemen Ayalew & Tsegaye, Enyew Adgo & Cools, Jan & Minale, Amare Sewnet & Nyssen, Jan, 2020. "Pathways how irrigation water affects crop revenue of smallholder farmers in northwest Ethiopia: A mixed approach," Agricultural Water Management, Elsevier, vol. 233(C).

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    More about this item

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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