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Endogenous risk in weed control management

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  • David W. Archer
  • Jason F. Shogren

Abstract

Weed control decisions are modeled in an endogenous risk framework where a producer invests in self‐insurance and self‐protection to reduce the severity of a realized pest infestation, or reduce the likelihood the infestation occurs. Self‐insurance and self‐protection are risk‐reducing technologies that capture both the type and quantity of herbicides used. We supply conditions to unambiguously sign the effects of an increase in the probability of application or effectiveness failure and increased application or effectiveness uncertainty on optimal herbicide choices. If self‐protection and self‐insurance are stochastic substitutes, non‐point source pollution policies targeted to reduce herbicide loadings can increase the use of more persistent herbicides. Policies that decrease loadings by reducing total mass may induce a substitution to herbicides more damaging or more likely to be transported to sensitive areas.

Suggested Citation

  • David W. Archer & Jason F. Shogren, 1996. "Endogenous risk in weed control management," Agricultural Economics, International Association of Agricultural Economists, vol. 14(2), pages 103-122, July.
    • Handle: RePEc:bla:agecon:v:14:y:1996:i:2:p:103-122
    DOI: 10.1111/j.1574-0862.1996.tb00407.x
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    Cited by:

    1. Costello, Christopher & Quérou, Nicolas & Tomini, Agnes, 2017. "Private eradication of mobile public bads," European Economic Review, Elsevier, vol. 94(C), pages 23-44.
    2. Charles Sims & David Finnoff & Jason F. Shogren, 2016. "Bioeconomics of invasive species: using real options theory to integrate ecology, economics, and risk management," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 61-70, February.
    3. Finnoff, David & Shogren, Jason F. & Leung, Brian & Lodge, David, 2005. "The importance of bioeconomic feedback in invasive species management," Ecological Economics, Elsevier, vol. 52(3), pages 367-381, February.
    4. Hurley, Terrance M. & Shogren, Jason F., 1998. "Effort levels in a Cournot Nash contest with asymmetric information," Journal of Public Economics, Elsevier, vol. 69(2), pages 195-210, June.
    5. Finnoff, David & Potapov, Alexei & Lewis, Mark A., 2010. "Control and the management of a spreading invader," Resource and Energy Economics, Elsevier, vol. 32(4), pages 534-550, November.
    6. Sims, Charles & Finnoff, David, 2013. "When is a “wait and see” approach to invasive species justified?," Resource and Energy Economics, Elsevier, vol. 35(3), pages 235-255.
    7. Mitchell, Paul D., 2001. "Additive Versus Proportional Pest Damage Functions: Why Ecology Matters," 2001 Annual meeting, August 5-8, Chicago, IL 20775, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Shogren, Jason F. & Crocker, Thomas D., 1999. "Risk and Its Consequences," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 44-51, January.
    9. Charles Sims & David Finnoff & Jason F. Shogren, 2018. "Taking One for the Team: Is Collective Action More Responsive to Ecological Change?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 589-615, July.
    10. Archer, David W. & Shogren, Jason F., 2001. "Risk-indexed herbicide taxes to reduce ground and surface water pollution: an integrated ecological economics evaluation," Ecological Economics, Elsevier, vol. 38(2), pages 227-250, August.

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