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Use Of Biophysical Simulation In Production Economics

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  • Musser, Wesley N.
  • Tew, Bernard V.
Abstract
Simulation has become a standard methodology in agricultural economics with models being used in all aspects of the profession. Johnson and Rausser identify two major types of production simulation models in their recent survey of the topic—firm and process models. Firm models, especially those concerned with growth, are most prominent in the agricultural economics literature. However, Johnson and Rausser also review some application of process models, which emphasize specific types of firm decisions. Biophysical simulation models are a specific form of these models concerned with the interaction of weather, soil, and/or biological processes in agricultural production and/or environmental loadings. In the recent agricultural economics literature, these models often are identified as bio-economic simulators. However, similar models are being utilized to evaluate erosion. Since erosion is largely a physical process, biophysical simulation seems more appropriate for the general classification of models considered in this paper.
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  • 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(1), pages 1-10, July.
    • Handle: RePEc:ags:sojoae:29604
    DOI: 10.22004/ag.econ.29604
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    Cited by:

    1. Vassalos, Michael & Dillon, Carl R. & Coolong, Timothy, 2013. "Optimal Land Allocation and Production Timing for Fresh Vegetable Growers under Price and Production Uncertainty," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-16, November.
    2. Vassalos, Michael & Dillon, Carl R. & Coolong, Tim, 2012. "Choice of Optimal Planting and Marketing Decisions for Fresh Vegetable Producers: A Mathematical Programming Approach," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 120016, Southern Agricultural Economics Association.
    3. 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(1), pages 1-10, July.
    4. Larson, James A. & Mapp, Harry P. & Verhalen, Laval M. & Banks, J. C., 1996. "Adapting a cotton model for decision analyses: a yield-response evaluation," Agricultural Systems, Elsevier, vol. 50(2), pages 145-167.
    5. McCarl, Bruce A. & Musser, Wesley N., 1985. "Modeling Long Run Risk In Production And Investment Decisions," Regional Research Projects > 1985: S-180 Annual Meeting, March 24-27, 1985, Charleston, South Carolina 271799, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    6. Kazmierczak, Richard F., Jr., 1996. "Optimizing Complex Bioeconomic Simulations Using An Efficient Search Heuristic," DAE Research Reports 31661, Louisiana State University, Department of Agricultural Economics and Agribusiness.
    7. Bruce A. Babcock & David A. Hennessy, 1996. "Input Demand under Yield and Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
    8. Shibia, Mumina Guyo, 2010. "Evaluation of Economic Losses in Rearing Replacement Heifers in Pastoral and Peri-Urban Camel Herds of Isiolo District, Kenya," Research Theses 134493, Collaborative Masters Program in Agricultural and Applied Economics.
    9. Lee, John G. & Lovejoy, Stephen B., 1991. "Integrated Assessment Of Environmental Effects From Agricultural Production," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 20(1), pages 1-7, April.
    10. Tozer, Peter R., 2007. "The Benefits of Mangement Changes in Beef Enterprises on Pastoral Stations in Western Australia," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 15.
    11. Bernardo, Daniel J. & Conner, J. Richard, 1989. "Methodological Issues in Range Economics: Modeling the Range-Livestock Production System," WAEA/ WFEA Conference Archive (1929-1995) 244846, Western Agricultural Economics Association.
    12. Tew, Bernard V. & Musser, Wesley N. & Smith, G. Scott, 1988. "Using Non-Contemporaneous Data To Specify Risk Programming Models," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 17(1), pages 1-6, April.
    13. 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.
    14. 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.
    15. 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.
    16. Kazmierczak, Richard F., Jr., 1990. "Analyzing Complex Dynamic Bioeconomic Systems Using A Simulation Optimization Technique," 1990 Annual meeting, August 5-8, Vancouver, Canada 270852, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Ellis, John R. & Hughes, David W. & Butcher, Walter R., 1991. "Economic Modeling Of Farm Production And Conservation Decisions In Response To Alternative Resource And Environmental Policies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 20(1), pages 1-11, April.
    18. Musser, Wesley N., 1994. "Progress In Risk Analysis In Regional Projects," 1994 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses Risk, Technical Committee Meeting, March 24-26, 1994, Gulf Shores State Park, Alabama 271553, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    19. Kanakasabai, Murali & Dillon, Carl R., 2004. "Potential For Farm Adaptation To Global Climatic Change In Kentucky," 2004 Annual meeting, August 1-4, Denver, CO 20422, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Mjelde, James W. & Dixon, Bruce L. & Sonka, Steven T. & Lamb, Peter J., 1987. "Dynamic Programming Model of the Corn Production Process for East-Central Illinois," Staff Paper Series 257981, Texas A&M University, Department of Agricultural Economics.
    21. Charles E. French & Randall E. Westgren, 1986. "Working with other disciplines: The role of agricultural economists in interdisciplinary agribusiness research," Agribusiness, John Wiley & Sons, Ltd., vol. 2(4), pages 491-500.
    22. Tew, Bernard V. & Boggess, William G., 1984. "Risk-Return Assessment Of Irrigation Decisions In Humid Regions: An Extension," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(2), pages 1-2, December.
    23. Griffin, Ronald C. & Rister, M. Edward & Montgomery, John M. & Turner, Fred T., 1985. "Scheduling Inputs With Production Functions: Optimal Nitrogen Programs For Rice," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(1), pages 1-10, July.
    24. 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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