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Managing Resistance Evolution in Two Pests to Two Toxins with Refugia

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  • Michael J. Livingston
  • Gerald A. Carlson
  • Paul L. Fackler

Abstract

We use a regulatory model with resistance evolution in two pests to insecticidal Bt cotton and pyrethroids (a conventional insecticide) to examine non-Bt cotton (refuge) planting requirements designed to manage Bt-resistance evolution in the midsouth. Our analysis suggests that reduced refuge requirements would enhance producer profitability, sprayed refugia are more cost effective than unsprayed refugia, and producers would receive slightly higher returns under dynamic relative to static refuge policies. Pyrethroid susceptibility in one of the pests was a renewable resource, and toxin-mixture effects associated with pyrethroid use in Bt cotton were important considerations for midsouth refuge policies. Copyright 2004, Oxford University Press.

Suggested Citation

  • Michael J. Livingston & Gerald A. Carlson & Paul L. Fackler, 2004. "Managing Resistance Evolution in Two Pests to Two Toxins with Refugia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 1-13.
  • Handle: RePEc:oup:ajagec:v:86:y:2004:i:1:p:1-13
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    File URL: http://hdl.handle.net/10.1111/j.0092-5853.2004.00558.x
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    Cited by:

    1. Malcolm, Scott A. & Marshall, Elizabeth P. & Aillery, Marcel P. & Heisey, Paul W. & Livingston, Michael J. & Day-Rubenstein, Kelly A., 2012. "Agricultural Adaptation to a Changing Climate: Economic and Environmental Implications Vary by U.S. Region," Economic Research Report 127734, United States Department of Agriculture, Economic Research Service.
    2. Marion Desquilbet & Markus Herrmann, 2016. "The Dynamics of Pest Resistance Management: The Case of Refuge Fields for Bt Crops," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 253-288, June.
    3. Frisvold, George B. & Reeves, Jeanne M., 2008. "The costs and benefits of refuge requirements: The case of Bt cotton," Ecological Economics, Elsevier, vol. 65(1), pages 87-97, March.
    4. Desquilbet, Marion & Hermann, Markus, 2012. "An assessment of bioeconomic modeling of pest resistance with new insights into dynamic refuge fields," TSE Working Papers 12-263, Toulouse School of Economics (TSE).
    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).
    6. Pech, Caris L. & Doole, Graeme J. & Pluske, Johanna M., 2009. "The value of refugia in managing anthelmintic resistance: a modelling approach," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48166, Australian Agricultural and Resource Economics Society.
    7. Stefan Ambec & Marion Desquilbet, 2012. "Regulation of a Spatial Externality: Refuges versus Tax for Managing Pest Resistance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(1), pages 79-104, January.
    8. Grimsrud, Kristine M. & Huffaker, Ray, 2006. "Solving multidimensional bioeconomic problems with singular-perturbation reduction methods: Application to managing pest resistance to pesticidal crops," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 336-353, May.
    9. Brown, Zachary, 2016. "Voluntary programs to encourage compliance with refuge regulations for pesticide resistance management: results from a quasi-experiment," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 237333, Agricultural and Applied Economics Association.
    10. Fernandez-Cornejo, Jorge & Livingston, Michael J. & Mitchell, Lorraine & Wechsler, Seth, 2014. "Genetically Engineered Crops in the United States," Economic Research Report 164263, United States Department of Agriculture, Economic Research Service.

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