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The Effect Of Spatial Variability Of Irrigation Applications On Risk-Efficient Irrigation Strategies

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  • Bernardo, Daniel J.

Abstract

The effect of irrigation system uniformity on the selection of risk-efficient irrigation strategies is evaluated using crop simulation and stochastic dominance procedures. Alternative strategies are evaluated under assumptions of both uniform and non-uniform application. Results indicate that the variability of net returns resulting from the employment of a specified schedule increases when irrigation uniformity is explicitly represented. Solutions derived using economic efficiency and stochastic dominance criteria indicate that the uniformity with which irrigations are applied contributes to the application of water-intensive irrigation schedules.

Suggested Citation

  • Bernardo, Daniel J., 1988. "The Effect Of Spatial Variability Of Irrigation Applications On Risk-Efficient Irrigation Strategies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(01), pages 1-10, July.
    • Handle: RePEc:ags:sojoae:29715
    DOI: 10.22004/ag.econ.29715
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    1. Robert G. Chambers, 1983. "Risk in Agricultural Production: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(5), pages 1114-1115.
    2. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    3. Mark J. Cochran & Lindon J. Robison & Weldon Lodwick, 1985. "Improving the Efficiency of Stochastic Dominance Techniques Using Convex Set Stochastic Dominance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(2), pages 289-295.
    4. Raskin, Rob & Cochran, Mark J., 1986. "Interpretations And Transformations Of Scale For The Pratt-Arrow Absolute Risk Aversion Coefficient: Implications For Generalized Stochastic Dominance," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-7, December.
    5. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    6. Boggess, W. G. & Lynne, G. D. & Jones, J. W. & Swaney, D. P., 1983. "Risk-Return Assessment of Irrigation Decisions in Humid Regions," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 15(1), pages 135-143, July.
    7. Boggess, William G. & Lynne, Gary D. & Jones, James W. & Swaney, D.P., 1983. "Risk-Return Assessment Of Irrigation Decisions In Humid Regions," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 15(01), pages 1-9, July.
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    Cited by:

    1. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.
    2. Dalton, Timothy J. & Porter, Gregory A. & Winslow, Noah G., 2004. "Risk Management Strategies in Humid Production Regions: A Comparison of Supplemental Irrigation and Crop Insurance," Agricultural and Resource Economics Review, Cambridge University Press, vol. 33(2), pages 220-232, October.
    3. Babcock, Bruce A. & Shogren, Jason F., 1995. "The cost of agricultural production risk," Agricultural Economics, Blackwell, vol. 12(2), pages 141-150, August.

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