IDEAS home Printed from https://ideas.repec.org/p/fpr/nsspwp/35.html
   My bibliography  Save this paper

The impact on farm household welfare of large irrigation dams and their distribution across hydrological basins: Insights from northern Nigeria:

Author

Listed:
  • Takeshima, Hiroyuki
  • Adeoti, Adetola I.
  • Popoola, Oluwafemi Adebola

Abstract

This study assesses the short-term effects of large irrigation dams on household consumption in the northern part of Nigeria. Using two rounds of the Nigeria LSMS survey, we apply multinomial logit inverse probability weighting (MIPW) methods to construct matching samples across three different types of hydrological basins – dam basins, which are basins that contain large irrigation dams and the area upstream of such dams; downstream basins, which are located downstream of large irrigation dams; and non-dam basins, which are not associated with large irrigation dams. Our analyses particularly focus on the benefits provided by such dams for mitigating the drought risks faced by farm households. Drought is an important factor that affects adversely the welfare of farm household in Nigeria. Supplemental irrigation is often used during drought to provide water to crops.

Suggested Citation

  • Takeshima, Hiroyuki & Adeoti, Adetola I. & Popoola, Oluwafemi Adebola, 2016. "The impact on farm household welfare of large irrigation dams and their distribution across hydrological basins: Insights from northern Nigeria:," NSSP working papers 35, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:nsspwp:35
    as

    Download full text from publisher

    File URL: https://www.ifpri.org/cdmref/p15738coll2/id/130731/filename/130942.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Goldman, Abe & Smith, Joyotee, 1995. "Agricultural transformations in India and Northern Nigeria: Exploring the nature of Green Revolutions," World Development, Elsevier, vol. 23(2), pages 243-263, February.
    2. Nwa, E. U. & Pradhan, P., 1993. "Irrigation research priorities for Nigeria: Proceedings of a National Seminar held at the University of Ilorin, Nigeria from 20 to 23 April, 1993," IWMI Books, Reports H012796, International Water Management Institute.
    3. Marco Caliendo & Reinhard Hujer, 2006. "The microeconometric estimation of treatment effects—An overview," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 199-215, March.
    4. Hiroyuki Takeshima & Futoshi Yamauchi, 2012. "Risks and farmers’ investment in productive assets in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 43(2), pages 143-153, March.
    5. Matias D. Cattaneo & David M. Drukker & Ashley D. Holland, 2013. "Estimation of multivalued treatment effects under conditional independence," Stata Journal, StataCorp LP, vol. 13(3), pages 407-450, September.
    6. Sarsons, Heather, 2015. "Rainfall and conflict: A cautionary tale," Journal of Development Economics, Elsevier, vol. 115(C), pages 62-72.
    7. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    8. 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.
    9. Zhao, Zhong, 2008. "Sensitivity of propensity score methods to the specifications," Economics Letters, Elsevier, vol. 98(3), pages 309-319, March.
    10. Karen G. Villholth, 2013. "Groundwater irrigation for smallholders in Sub-Saharan Africa - a synthesis of current knowledge to guide sustainable outcomes," Water International, Taylor & Francis Journals, vol. 38(4), pages 369-391, July.
    11. Pradhan, P., 1993. "Research priority of irrigation management in Nigeria," IWMI Books, Reports H012800, International Water Management Institute.
    12. Deininger, Klaus & Carletto, Calogero & Savastano, Sara & Muwonge, James, 2012. "Can diaries help in improving agricultural production statistics? Evidence from Uganda," Journal of Development Economics, Elsevier, vol. 98(1), pages 42-50.
    13. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    14. Thomas, David H. L. & Adams, William M., 1999. "Adapting to Dams: Agrarian Change Downstream of the Tiga Dam, Northern Nigeria," World Development, Elsevier, vol. 27(6), pages 919-935, June.
    15. Salvador Barrios & Luisito Bertinelli & Eric Strobl, 2010. "Trends in Rainfall and Economic Growth in Africa: A Neglected Cause of the African Growth Tragedy," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 350-366, May.
    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. Adesugba, Margaret Abiodun & Mavrotas, George, 2016. "Youth employment, agricultural transformation, and rural labor dynamics in Nigeria," IFPRI discussion papers 1579, International Food Policy Research Institute (IFPRI).

    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. Joachim Binam & Frank Place & Antoine Kalinganire & Sigue Hamade & Moussa Boureima & Abasse Tougiani & Joseph Dakouo & Bayo Mounkoro & Sanogo Diaminatou & Marcel Badji & Mouhamadou Diop & Andre Babou , 2015. "Effects of farmer managed natural regeneration on livelihoods in semi-arid West Africa," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 543-575, October.
    2. 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.
    3. Long, Wenjin & Pang, Xiaopeng & Dong, Xiao-yuan & Zeng, Junxia, 2020. "Is rented accommodation a good choice for primary school students' academic performance? – Evidence from rural China," China Economic Review, Elsevier, vol. 62(C).
    4. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2024. "Who Suffers the Most During the COVID‐19 Pandemic? Evidence From Thailand," The Developing Economies, Institute of Developing Economies, vol. 62(3), pages 238-268, September.
    5. Garbero, A. & Songsermsawas, T., 2018. "IFAD RESEARCH SERIES 31 - Impact of modern irrigation on household production and welfare outcomes: evidence from the participatory small-scale irrigation development programme (PASIDP) project in Eth," IFAD Research Series 280080, International Fund for Agricultural Development (IFAD).
    6. Essilfie, Felix Larry, 2018. "Varietal seed technology and household income of maize farmers: An application of the doubly robust model," Technology in Society, Elsevier, vol. 55(C), pages 85-91.
    7. Ferraro, Simona & Männasoo, Kadri & Tasane, Helery, 2023. "How the EU Cohesion Policy targeted at R&D and innovation impacts the productivity, employment and exports of SMEs in Estonia," Evaluation and Program Planning, Elsevier, vol. 97(C).
    8. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    9. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    10. Hong, Yan-Zhen & Chang, Hung-Hao & Dai, Yong-Wu, 2018. "Is deregulation of forest land use rights transactions associated with economic well-being and labor allocation of farm households? Empirical evidence in China," Land Use Policy, Elsevier, vol. 75(C), pages 694-701.
    11. Kere, Eric Nazindigouba & Choumert, Johanna & Combes Motel, Pascale & Combes, Jean Louis & Santoni, Olivier & Schwartz, Sonia, 2017. "Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia," Ecological Economics, Elsevier, vol. 136(C), pages 148-158.
    12. Garbero, Alessandra & Songsermsawas, Tisorn, 2016. "Impact of modern irrigation on household production and welfare outcomes: Evidence from the PASIDP project in Ethiopia," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235949, Agricultural and Applied Economics Association.
    13. Pastore, Francesco & Webster, Allan & Hope, Kevin, 2020. "Assessing the Role of Women in Tourism Related Sectors in the Caribbean," IZA Discussion Papers 13486, Institute of Labor Economics (IZA).
    14. 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.
    15. Juan Serrato & Philippe Wingender, 2016. "Estimating Local Fiscal Multipliers," Working Papers id:11109, eSocialSciences.
    16. Zheng, Yanqiao & Zhang, Xiaoqi & Zhu, Yu, 2021. "Overeducation, major mismatch, and return to higher education tiers: Evidence from novel data source of a major online recruitment platform in China," China Economic Review, Elsevier, vol. 66(C).
    17. Sokbae Lee & Ryo Okui & Yoon†Jae Whang, 2017. "Doubly robust uniform confidence band for the conditional average treatment effect function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1207-1225, November.
    18. Delprato, Marcos & Akyeampong, Kwame, 2019. "The effect of working on students’ learning in Latin America: Evidence from the learning survey TERCE," International Journal of Educational Development, Elsevier, vol. 70(C), pages 1-1.
    19. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.

    More about this item

    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:nsspwp:35. See general information about how to correct material in RePEc.

    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: the person in charge (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. RePEc uses bibliographic data supplied by the respective publishers.