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Adapting to Monsoon Variability in India: the Case for Irrigation

Author

Listed:
  • Zaveri, Esha
  • Fisher-Vanden, Karen
  • Wrenn, Douglas H.
  • Nicholas, Robert E.

Abstract

How will future changes in precipitation affect irrigation demand and supply in India? This paper provides econometric evidence for the demand side of the analysis by examining the relationship between monsoon changes and irrigation variability for one of the world’s most water stressed countries, India. Using detailed crop-wise agriculture and weather data spanning 35 years, the econometric model isolates the historical impact of the distribution and total supply of monsoon precipitation on irrigation demand via the use of irrigated area for crops grown in the dry(Rabi) and wet(Kharif) seasons. We find differential impacts of the monsoon by crop, by season and by source of irrigation. In general, for crops grown in the wet season, irrigation is sensitive to both distribution and total monsoon rainfall but not to ground or surface water availability. For crops grown in the dry season, total monsoon rainfall matters most, and its effect is sensitive to groundwater availability. Over the historic period of analysis, the effect of the monsoon on irrigation has remained relatively stable. The econometric analysis, when combined with a process based hydrology model that accounts for the supply side response of water availability, can help quantify the (un)sustainable water use trajectory that different regions within India will face.

Suggested Citation

  • Zaveri, Esha & Fisher-Vanden, Karen & Wrenn, Douglas H. & Nicholas, Robert E., 2014. "Adapting to Monsoon Variability in India: the Case for Irrigation," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170583, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170583
    DOI: 10.22004/ag.econ.170583
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    1. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    2. Skoufias, Emmanuel & Rabassa, Mariano & Olivieri, Sergio & Brahmbhatt, Milan, 2011. "The Poverty Impacts of Climate Change," World Bank - Economic Premise, The World Bank, issue 51, pages 1-5, March.
    3. Dinar, Ariel & Zilberman, David, 1991. "The economics of resource-conservation, pollution-reduction technology selection: The case of irrigation water," Resources and Energy, Elsevier, vol. 13(4), pages 323-348, December.
    4. Ariel Dinar & Mark Campbell & David Zilberman, 1992. "Adoption of improved irrigation and drainage reduction technologies under limiting environmental conditions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 2(4), pages 373-398, July.
    5. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    6. Rosenzweig, Mark R & Binswanger, Hans P, 1993. "Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments," Economic Journal, Royal Economic Society, vol. 103(416), pages 56-78, January.
    7. Robert Mendelsohn & Ariel Dinar, 2009. "Climate Change and Agriculture," Books, Edward Elgar Publishing, number 12990.
    8. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    9. Negri, Donald H. & Brooks, Douglas H., 1990. "Determinants Of Irrigation Technology Choice," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(2), pages 1-12, December.
    10. Skoufias, Emmanuel & Rabassa, Mariano & Olivieri, Sergio, 2011. "The poverty impacts of climate change : a review of the evidence," Policy Research Working Paper Series 5622, The World Bank.
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