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Simulation of Soil Water-Crop Yield Systems: The Potential for Economic Analysis

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  • Mapp, Harry P.
  • Eidman, Vernon R.

Abstract

Economists have shown an increasing interest in systems theory and simulation. The recent reviews by Anderson and LaDue and Vincent indicate the literature is repleat with models of business and farm firms developed by researchers from several disciplines. A smaller but no less sophisticated group of models is focused on simulated physical or biological processes. An even smaller segment of the literature deals with economic applications of models which simulate physical and biological phenomena. Economists have become interested in models simulating physical and biological phenomena because of their experimental value. When a satisfactory approximation of reality can be created within the context of the model, experiments can then be conducted to determine the effects of changes in exogeneous factors on outcomes predicted by the model.

Suggested Citation

  • Mapp, Harry P. & Eidman, Vernon R., 1975. "Simulation of Soil Water-Crop Yield Systems: The Potential for Economic Analysis ," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 7(1), pages 47-53, July.
    • Handle: RePEc:cup:jagaec:v:7:y:1975:i:01:p:47-53_01
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    References listed on IDEAS

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    1. Flinn, John C. & Musgrave, Warren F., 1967. "Development And Analysis Of Input-Output Relations For Irrigation Water," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 11(01), pages 1-19, June.
    2. Charles V. Moore, 1961. "A General Analytical Framework for Estimating the Production Function for Crops Using Irrigation Water," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 43(4_Part_I), pages 876-888.
    3. Raymond L. Anderson, 1968. "A Simulation Program to Establish Optimum Crop Patterns on Irrigated Farms Based on Preseason Estimates of Water Supply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(5), pages 1586-1590.
    4. Anderson, Jock R., 1974. "Simulation: Methodology and Application in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(01), pages 1-53, March.
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    1. Wegener, Malcolm K., 1990. "Risk Analysis in Sugarcane Production," 1990 Conference (34th), February 13-15, 1990, Brisbane, Australia 145460, Australian Agricultural and Resource Economics Society.
    2. Musser, Wesley N. & Tew, Bernard V., 1984. "Use Of Biophysical Simulation In Production Economics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(01), pages 1-10, July.
    3. Boggess, William G. & Anaman, Kwabena A. & Hanson, Gregory D., 1985. "Importance, Causes, And Management Responses To Farm Risks: Evidence From Florida And Alabama," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(2), pages 1-12, December.
    4. Dillon, Carl R. & Mjelde, James W. & McCarl, Bruce A., 1989. "Comments on Development and Use of Biophysical Simulation Models," Staff Paper Series 257983, Texas A&M University, Department of Agricultural Economics.
    5. Everson, Curtis A. & Sharp, Rodney L., 1981. "Great Plains Irrigation, 1975-80: A Literature Review," Miscellaneous Publications 319988, United States Department of Agriculture, Economic Research Service.
    6. Lee, John G. & Lacewell, Ronald D. & Ozuna, Teofilo, Jr. & Jones, Lonnie L., 1987. "Regional Impact Of Urban Water Use On Irrigated Agriculture," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(2), pages 1-9, December.

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