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Bioeconomic Models of Crop Production Systems: Design, Development, and Use

Author

Listed:
  • Robert P. King
  • Donald W. Lybecker
  • Anita Regmi
  • Scott M. Swinton

Abstract

Bioeconomic models describe biological processes and predict the effects management decisions have on those processes. Bioeconomic models are used to improve understanding of complex production systems, to assess the effects of policies and new technologies, and to support farm-level decisions. This article examines design objectives for bioeconomic models of crop production and the implications of design objectives for model structure and function, technical challenges associated with bioeconomic model development, and problems and opportunities related to the use of bioeconomic models for direct support of crop production management decisions.

Suggested Citation

  • Robert P. King & Donald W. Lybecker & Anita Regmi & Scott M. Swinton, 1993. "Bioeconomic Models of Crop Production Systems: Design, Development, and Use," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(2), pages 389-401.
    • Handle: RePEc:oup:revage:v:15:y:1993:i:2:p:389-401.
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    File URL: http://hdl.handle.net/10.2307/1349457
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    Citations

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    Cited by:

    1. Mkondiwa, Maxwell Gibson, 2015. "Whither Broad or Spatially Specific Fertilizer Recommendations?," Master's Theses and Plan B Papers 237344, University of Minnesota, Department of Applied Economics.
    2. Yiridoe, Emmanuel K. & Weersink, Alfons, 1998. "Marginal Abatement Costs Of Reducing Groundwater-N Pollution With Intensive And Extensive Farm Management Choices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(2), pages 1-17, October.
    3. Swinton, Scott M. & Day, Esther, 2000. "Economics In The Design, Assessment, Adoption, And Policy Analysis Of I.P.M," Staff Paper Series 11789, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    4. Sikha Sial, 2023. "Biosocial Conditions and Academic Performance: A Case Study of Post Graduate Students of Utkal University," Journal of Studies in Dynamics and Change (JSDC), ISSN: 2348-7038, Voices of Inclusive Change and Expressions- (VOICE) Trust, Dehradun, Uttarakhand, vol. 10(4), pages 23-37, October-D.
    5. 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.
    6. Smith, Elwin G. & Young, Douglas L., 2005. "An Investment Analysis Approach to Examining Bio-Control of Invasive Weeds," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36286, Western Agricultural Economics Association.
    7. Batie, Sandra S. & Swinton, Scott M., 1993. "Institutional Issues And Strategies For Sustainable Agriculture: View From Within The Land-Grant University," Staff Paper Series 11666, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. 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.
    9. Oriade, Caleb Adewale, 1995. "A bioeconomic analysis of site-specific management and delayed planting strategies for weed control," Faculty and Alumni Dissertations 307890, University of Minnesota, Department of Applied Economics.
    10. Young, Douglas L. & Smith, Elwin G. & Kwon, Tae-Jin, 2000. "Aggregation Issues In Pest Control Economics: A Bioeconomic Approach," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36448, Western Agricultural Economics Association.
    11. Larson, James A. & Mapp, Harry P., Jr., 1997. "Cotton Cultivar, Planting, Irrigating, And Harvesting Decisions Under Risk," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(1), pages 1-17, July.
    12. Zhang, Wei & Swinton, Scott M., 2009. "Incorporating natural enemies in an economic threshold for dynamically optimal pest management," Ecological Modelling, Elsevier, vol. 220(9), pages 1315-1324.
    13. Swinton, Scott M. & Black, J. Roy, 2000. "Modeling Of Agricultural Systems," Staff Paper Series 11581, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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