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Predicting farmer responses to water pricing, rationing and subsidies assuming profit maximizing investment in irrigation technology

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  • Medellín-Azuara, J.
  • Howitt, R.E.
  • Harou, J.J.

Abstract

Recent research suggests that regional hydrologic and economic implications should be considered before adopting policies encouraging efficient irrigation technology. Investigating regional effects of irrigation efficiency investments relies on predicting how farmers will adopt irrigation technology and practices in response to different water management policies. Under water rationing, price changes, subsidies and other policies, farmers will typically trade-off water use with irrigation efficiency investment in order to maximize profits. We employ a self-calibrating profit maximizing model of agricultural production based on the existing California Statewide Agricultural Production Model (SWAP). The model embeds irrigation efficiency vs. capital investment trade-offs for different crops to predict production, water use, irrigation investments, yields and water productivity under different water management policies. Calibration to observed cultivated areas and water application for different crops is performed using the positive mathematical programming (PMP) method. The trade-off between irrigation efficiency and capital investment is modeled as a nested constant elasticity of substitution constraint that allows substitution between irrigation investment and total applied water. The model is applied to the Tulare Basin in California's southern Central Valley. Policy simulations include an increase in water price, water rationing, and rationing and irrigation efficiency subsidies. Our results show subsidizing efficient irrigation technology may have a little effect on total land and water use and so may not promote water conservation without other incentives or regulations. Of the three policies simulated, a water price increase of 20% is found to be the most conducive to gains in agricultural water productivity (43% gain).

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  • Medellín-Azuara, J. & Howitt, R.E. & Harou, J.J., 2012. "Predicting farmer responses to water pricing, rationing and subsidies assuming profit maximizing investment in irrigation technology," Agricultural Water Management, Elsevier, vol. 108(C), pages 73-82.
    • Handle: RePEc:eee:agiwat:v:108:y:2012:i:c:p:73-82
    DOI: 10.1016/j.agwat.2011.12.017
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    1. 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.
    2. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    3. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261, Elsevier.
    4. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    5. Bruno Henry Frahan & Jeroen Buysse & Philippe Polomé & Bruno Fernagut & Olivier Harmignie & Ludwig Lauwers & Guido Huylenbroeck & Jef Meensel, 2007. "Positive Mathematical Programming for Agricultural and Environmental Policy Analysis: Review and Practice," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 129-154, Springer.
    6. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    7. Howitt, Richard E., 2005. "PMP Based Production Models-Development and Integration," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24484, European Association of Agricultural Economists.
    8. Perry, Chris & Steduto, Pasquale & Allen, Richard. G. & Burt, Charles M., 2009. "Increasing productivity in irrigated agriculture: Agronomic constraints and hydrological realities," Agricultural Water Management, Elsevier, vol. 96(11), pages 1517-1524, November.
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    18. Yaltaghian Khiabani, M. & Hashamy Shahadany, S.M. & Maestre, J.M. & Stepanian, R. & Mallakpour, I., 2020. "Potential assessment of non-automatic and automatic modernization alternatives for the improvement of water distribution supplied by surface-water resources: A case study in Iran," Agricultural Water Management, Elsevier, vol. 230(C).
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