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An Economic Examination of an Integrated Pest Management Production System with a Contrast Between E-V and Stochastic Dominance Analysis

Author

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  • Musser, Wesley N.
  • Tew, Bernard V.
  • Epperson, James E.

Abstract

Agricultural economists have long recognized pest populations as common property resources, and, as such, pest control through chemical pesticide application involves a tradeoff between increased crop yields and reduced environmental quality (Carlson; Regev et al.). Integrated pest management (IPM) attempts to minimize this tradeoff by substituting pest information and management skills for chemical pesticides. In part, IPM involves monitoring pest populations in order to utilize beneficial biological interactions. Weather patterns, stage of crop growth, and natural biological enemies of pests are among the factors included in IPM. In addition, entomologists have extended the integrated control concept to include selective rather than nonselective pesticide application that is applied only when pest populations exceed the “economic threshold” level (Hall and Norgaard). In an earlier economic analysis of IPM, Hall concluded that the major advantages of IPM are: (1) a substantial reduction in overall pesticide use, (2) no significant reduction in profits, (3) no significant loss of yields, (4) an overall reduction in pest management costs, and (5) a reduction in risk for the producers.

Suggested Citation

  • Musser, Wesley N. & Tew, Bernard V. & Epperson, James E., 1981. "An Economic Examination of an Integrated Pest Management Production System with a Contrast Between E-V and Stochastic Dominance Analysis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 13(1), pages 119-124, July.
    • Handle: RePEc:cup:jagaec:v:13:y:1981:i:01:p:119-124_02
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    Cited by:

    1. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William & Ristaino, Jean & Saville, Amanda, 2017. "A Risk Analysis of precision farming for tomato production," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 253119, Southern Agricultural Economics Association.
    2. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
    3. Yangxuan Liu & Michael R. Langemeier & Ian M. Small & Laura Joseph & William E. Fry & Jean B. Ristaino & Amanda Saville & Benjamin M. Gramig & Paul V. Preckel, 2018. "A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    4. David J. Pannell, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, International Association of Agricultural Economists, vol. 5(4), pages 361-383, August.
    5. Regmi, Anita, 1990. "The value of information in integrated pest management of corn rootworm and European corn borer in Minnesota," Faculty and Alumni Dissertations 307267, University of Minnesota, Department of Applied Economics.
    6. Margaux Lapierre & Alexandre Sauquet & Julie Subervie, 2019. "Improving Farm Environmental Performance through Technical Assistance: Empirical Evidence on Pesticide Use," Working Papers 2019.19, FAERE - French Association of Environmental and Resource Economists.
    7. Margaux Lapierre & Alexandre Sauquet & Julie Subervie, 2019. "Providing technical assistance to peer networks to reduce pesticide use in Europe: Evidence from the French Ecophyto plan," CEE-M Working Papers hal-02190979, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    8. 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(01), pages 1-19, April.
    9. Wells, Gary J. & Bauer, Larry L. & Kaiser, Eddie H. & Epperson, James E., 1982. "A Suggested Criterion for Selecting between E-V and Stochastic Dominance Analysis Tools," Working Papers 116873, Clemson University, Department of Agricultural and Applied Economics.
    10. Cochran, Mark J., 1986. "Stochastic Dominance: The State Of The Art In Agricultural Economics," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271995, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.

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