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Application of a Simulative Approach to Evaluating Alternative Methods for the Control of Agricultural Pests

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  • Katherine H. Reichelderfer
  • Filmore E. Bender

Abstract

A microanalytic simulation model of the interrelationships among Mexican bean beetle pest populations, populations of wasps that are parasites of the pest, chemical control inputs, and soybean yield is presented. Points from output response surfaces obtained through simulations of alternative biological and chemical pest control strategies are utilized in conjunction with cost data to construct benefit-cost ratios for each intraseasonal control option studied. Comparison of ratios indicates that biological control of the pest is, by benefit-cost criteria and from both private and social perspectives, a competitive alternative to chemical control.

Suggested Citation

  • Katherine H. Reichelderfer & Filmore E. Bender, 1979. "Application of a Simulative Approach to Evaluating Alternative Methods for the Control of Agricultural Pests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 258-267.
    • Handle: RePEc:oup:ajagec:v:61:y:1979:i:2:p:258-267.
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    File URL: http://hdl.handle.net/10.2307/1239730
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    Cited by:

    1. Dirksmeyer, Walter, 2007. "Ist Eine Reduzierung Des Pflanzenschutzmitteleinsatzes Im Freilandgemüsebau Möglich? Ergebnisse Eines Bioökonomischen Simulationsmodells," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7592, German Association of Agricultural Economists (GEWISOLA).
    2. Lichtenberg, Erik & Zilberman, David & Archibald, Sandra O., 1990. "Economics and Pesticides," Working Papers 197750, University of Maryland, Department of Agricultural and Resource Economics.
    3. Bor, Yunchang Jeffrey, 1995. "Optimal pest management and economic threshold," Agricultural Systems, Elsevier, vol. 49(2), pages 113-133.
    4. Just, David R. & Wang, Shenghui & Pinstrup-Andersen, Per, 2006. "Tarnishing Silver Bullets: Bt Technology Adoption, Bounded Rationality and the Outbreak of Secondary Pest Infestations in China," 2006 Annual meeting, July 23-26, Long Beach, CA 21230, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Debertin, David L. & Pagoulatos, Angelos, 1985. "Optimal Management Strategies for Alfalfa Production Within a Total Farm Plan," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 17(2), pages 127-138, December.
    6. 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.
    7. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    8. 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.
    9. Dirksmeyer, W., 2008. "Ist eine Reduzierung des Pflanzenschutzmitteleinsatzes im Freilandgemüsebau möglich? Ergebnisse eines bioökonomischen Simulationsmodells," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43, March.
    10. Scott M. Swinton & Robert P. King, 1994. "The Value of Pest Information in a Dynamic Setting: The Case of Weed Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 36-46.
    11. Archibald, Sandra O. & McCorkle, Chester O. Jr & Howitt, Richard E., 1986. "A Dynamic Analysis Of Production Externalities : Pesticide Resistance In California Cotton," Working Papers 225802, University of California, Davis, Department of Agricultural and Resource Economics.
    12. Grogan, Kelly A., 2014. "When ignorance is not bliss: Pest control decisions involving beneficial insects," Ecological Economics, Elsevier, vol. 107(C), pages 104-113.
    13. Boggess, William G. & Cardelli, Dino J. & Barfield, C.S., 1985. "A Bioeconomic Simulation Approach To Multi-Species Insect Management," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(2), pages 1-13, December.
    14. King, R.P. & Lybecker, D.W. & Schweizer, E.E. & Zimdahl, R.L., 1980. "Weed Control Strategies Under Uncertainty," 1980 Annual Meeting, July 27-30, Urbana-Champaign, Illinois 278864, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. 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.
    16. Roberts, Tanya, 1984. "Rationalizing Decisions about Food and Nutrition Regulations: A Defense of Benefit/Cost Analysis," 1984 Annual Meeting, August 5-8, Ithaca, New York 278939, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Wetzstein, Michael E. & Musser, Wesley N. & Linder, David K. & Douce, G. Keith, 1985. "An Evaluation Of Integrated Pest Management With Heterogeneous Participation," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(2), pages 350-350, December.
    18. 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.
    19. Liapis, Peter S. & Moffitt, L. Joe, 1983. "Economic Analysis Of Cotton Integrated Pest Management Strategies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 15(1), pages 1-6, July.
    20. Grogan, Kelly A. & Goodhue, Rachael E., 2012. "Spatial Externalities of Pest Control Decisions in the California Citrus Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(1), pages 1-24, April.
    21. Smith, G. Scott & Wetzstein, Michael E. & Douce, G. Keith, 1987. "Evaluation Of Various Pest-Management Characteristics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(2), pages 1-9, December.
    22. Wetzstein, Michael E. & Szmedra, Philip I. & Musser, Wesley N. & Chou, Charlene C.J., . "Optimal Agricultural Pest Management With Multiple Species," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 14(1), pages 1-7.
    23. Dillon, Carl R. & Mjelde, James W. & McCarl, Bruce A., 1989. "Biophysical Simulation In Support Of Crop Production Decisions: A Case Study In The Blacklands Region Of Texas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-14, July.
    24. Fox, Glenn & Weersink, Alfons & Sarwar, Ghulam & Duff, Scott & Deen, Bill, 1991. "Comparative Economics Of Alternative Agricultural Production Systems: A Review," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 20(1), pages 1-19, April.

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