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Do differences in the scale of irrigation projects generate different impacts on poverty and production?

  • Dillon, Andrew

This paper investigates differences in household production and consumption among small- and large-scale irrigators to assess whether the scale of an irrigation project increases household welfare in Mali. Much of the evidence of the impact of irrigation does not use counterfactual analysis to estimate such impact or distinguish between the scale of the irrigation projects to be evaluated. In the dataset collected by the author, both a large-scale irrigation project and small-scale projects are used to construct counterfactual groups. Propensity score matching is used to estimate the average treatment effect on the treated for small and large irrigators relative to nonirrigators on agricultural production, agricultural income, and consumption per capita. Small-scale irrigation has a larger effect on agricultural production and agricultural income than large-scale irrigation, but large-scale irrigation has a larger effect on consumption per capita. This suggests that market integration and nonfarm externalities are important in realizing gains in agricultural surplus from irrigation.

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Paper provided by International Food Policy Research Institute (IFPRI) in its series IFPRI discussion papers with number 1022.

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Date of creation: 2010
Date of revision:
Handle: RePEc:fpr:ifprid:1022
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  1. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  2. Attwood, Donald W., 2005. "Big is ugly? How large-scale institutions prevent famines in Western India," World Development, Elsevier, vol. 33(12), pages 2067-2083, December.
  3. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  4. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-98, June.
  5. 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.
  6. Ravallion, Martin & Chen, Shaohua, 2005. "Hidden impact? Household saving in response to a poor-area development project," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2183-2204, December.
  7. Angus Deaton, 2010. "Instruments, Randomization, and Learning about Development," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 424-55, June.
  8. Guido W. Imbens, 2009. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," NBER Working Papers 14896, National Bureau of Economic Research, Inc.
  9. Gilligan, Daniel O. & Hoddinott, John, 2007. "AJAE Appendix: Is There Persistence in the Impact of Emergency Food Aid? Evidence on Consumption, Food Security and Assets in Rural Ethiopia," American Journal of Agricultural Economics Appendices, Agricultural and Applied Economics Association, vol. 89(2), May.
  10. Angus Deaton & Salman Zaidi, 1999. "Guidelines for Constructing Consumption Aggregates For Welfare Analysis," Working Papers 217, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
  11. Inocencio, Arlene & Kikuchi, Masao & Tonosaki, Manabu & Maruyama, Atsushi & Merrey, Douglas & Sally, Hilmy & de Jong, Ijsbrand, 2007. "Costs and performance of irrigation projects: A comparison of Sub-Saharan Africa and other developing regions," IWMI Research Reports H036214, International Water Management Institute.
  12. Jyotsna Jalan & Martin Ravallion, 2000. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching," Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
  13. Juan Jose Diaz & Sudhanshu Handa, 2006. "An Assessment of Propensity Score Matching as a Nonexperimental Impact Estimator: Evidence from Mexico’s PROGRESA Program," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
  14. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  15. Gilligan, Daniel O. & Hoddinott, John, 2006. "Is there persistence in the impact of emergency food aid? Evidence on consumption, food security, and assets in rural Ethiopia," FCND discussion papers 209, International Food Policy Research Institute (IFPRI).
  16. Dillon, Andrew, 2008. "Access to irrigation and the escape from poverty: Evidence from Northern Mali," IFPRI discussion papers 782, International Food Policy Research Institute (IFPRI).
  17. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
  18. Joshua D. Angrist & Guido W. Imbens, 1999. "Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations"," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 823-827.
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