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A Bioeconomic Simulation Approach To Multi-Species Insect Management

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  • Boggess, William G.
  • Cardelli, Dino J.
  • Barfield, C.S.

Abstract

Classical approaches to the economics of pest management have focused almost exclusively on single-species models. This study develops and implements a methodology with which to evaluate multi-species, non-stochastic, managerial decisions subject to stochastic elements of the plant-insect system. Multi-species insect management strategies (combinations of scouting interval, threshold value, and choice of pesticide) are analyzed using a physiological mechanistic soybean plant growth model coupled to three insect population dynamics models. Preliminary results indicate that net returns are maximized and variance is reduced with lower thresholds and more frequent scouting than current recommendations.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:sojoae:29987
    DOI: 10.22004/ag.econ.29987
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    References listed on IDEAS

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    1. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, December.
    2. Gerald A. Carlson, 1970. "A Decision Theoretic Approach to Crop Disease Prediction and Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(2), pages 216-223.
    3. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    4. D. Hueth & U. Regev, 1974. "Optimal Agricultural Pest Management with Increasing Pest Resistance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(3), pages 543-552.
    5. 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.
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    1. 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.
    2. Featherstone, Allen M. & Osunsan, Adeyinka W. & Biere, Arlo, 1992. "A Risk Analysis of Alternative Crop and Irrigation Strategies Using Biophysical Simulations," 1992 Occasional Paper Series No. 6 197739, International Association of Agricultural Economists.
    3. 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.
    4. David Adamson, 2010. "Climate Change, Irrigation and Pests: Examining Heliothis in the Murray Darling Basin," Murray-Darling Program Working Papers WP1M10, Risk and Sustainable Management Group, University of Queensland.
    5. 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).

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