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A Farmer's Choice of Weed Control Method and the Impacts of Policy and Risk

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  • Kent D. Olson
  • Vernon R. Eidman

Abstract

The importance of risk in a farmer's decision to use herbicides should not be forgotten. This paper presents a theoretical model of the weed control decision and develops a MOTAD programming model. The model uses herbicides at levels of risk aversion found in previous empirical studies. This result was not changed by equal (or even higher) ASCS yields for not using herbicides, a tax on herbicides, or the elimination of deficiency payments. The variability of returns was more important in influencing a farmer to choose herbicides than the higher expected returns in a nonherbicide system.

Suggested Citation

  • Kent D. Olson & Vernon R. Eidman, 1992. "A Farmer's Choice of Weed Control Method and the Impacts of Policy and Risk," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 14(1), pages 125-137.
    • Handle: RePEc:oup:revage:v:14:y:1992:i:1:p:125-137.
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    File URL: http://hdl.handle.net/10.2307/1349613
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    Citations

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    Cited by:

    1. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    2. Roberts, Wayne S. & Swinton, Scott M., 1995. "The Profitability Of Sustainable Agriculture On A Representative Grain Farm In The Mid-Atlantic Region, 1981-89: Comment," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), pages 1-2, April.
    3. Dillon, Carl R., 1999. "Production Practice Alternatives For Income And Suitable Field Day Risk Management," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-15, August.
    4. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    5. Simon Akahoua N'cho & Monique Mourits & Jonne Rodenburg & Alfons Oude Lansink, 2019. "Inefficiency of manual weeding in rainfed rice systems affected by parasitic weeds," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 151-163, March.
    6. Oriade, Caleb Adewale, 1995. "A bioeconomic analysis of site-specific management and delayed planting strategies for weed control," Faculty and Alumni Dissertations 307890, University of Minnesota, Department of Applied Economics.
    7. Swinton, Scott M. & Clark, David S., 1994. "Farm-Level Evaluation of Alternative Policy Approaches to Reduce Nitrate Leaching from Midwest Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 23(1), pages 66-74, April.
    8. Westra, John V. & Olson, Kent D., 2001. "Enviro-Economic Analysis Of Phosphorus Nonpoint Pollution," 2001 Annual meeting, August 5-8, Chicago, IL 20653, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Dillon, Carl R. & Shearer, Scott A. & Mueller, Thomas, 2001. "A Mixed Integer, Nonlinear Programming Model Of Innovative Variable Rate Planting Date With Polymer Seed Coatings," 2001 Annual meeting, August 5-8, Chicago, IL 20572, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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