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Incorporating Stochastic Variables in Crop Response Models: Implications for Fertilization Decisions

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  • Qi Dai
  • Jerald J. Fletcher
  • John G. Lee

Abstract

Most crop-decision models focus on output variation in response to nonstochastic inputs. Little attention has been given to the effects of stochastic factors on the input-use decision. A crop-decision model is developed to examine the impact of soil moisture on the nitrogen fertilization decision. The model is applied to 15 different soil and weather conditions for corn production in Indiana. Based on estimated response functions, the profit maximizing nitrogen application rate varies from 156 to 185 pounds of actual nitrogen (N) per acre. We evaluate the expected economic losses arising from applying to one set of conditions a rate deemed optimal for another.

Suggested Citation

  • Qi Dai & Jerald J. Fletcher & John G. Lee, 1993. "Incorporating Stochastic Variables in Crop Response Models: Implications for Fertilization Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 377-386.
  • Handle: RePEc:oup:ajagec:v:75:y:1993:i:2:p:377-386.
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    File URL: http://hdl.handle.net/10.2307/1242922
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    Citations

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    Cited by:

    1. Isik, Murat & Khanna, Madhu & Winter-Nelson, Alex, 2001. "Sequential Investment In Site-Specific Crop Management Under Output Price Uncertainty," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-18, July.
    2. Glenn Sheriff, 2005. "Efficient Waste? Why Farmers Over-Apply Nutrients and the Implications for Policy Design," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(4), pages 542-557.
    3. Isik, Murat & Khanna, Madhu & Winter-Nelson, Alex, 2000. "Sequential Investment In Site-Specific Crop Management Under Output Price Uncertainty: Implications For Nitrogen Pollution Control," 2000 Annual meeting, July 30-August 2, Tampa, FL 21875, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Vorotnikova, Ekaterina & VanSickle, John J. & Borisova, Tatiana, 2012. "The Economic Value of the Precision Disease Management System for Anthracnose and Botrytis Fruit Rot for the Florida Strawberry Industry," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119791, Southern Agricultural Economics Association.
    5. Claassen, Roger & Breneman, Vincent E. & Bucholtz, Shawn & Cattaneo, Andrea & Johansson, Robert C. & Morehart, Mitchell J., 2004. "Environmental Compliance In U.S. Agricultural Policy: Past Performance And Future Potential," Agricultural Economic Reports 34033, United States Department of Agriculture, Economic Research Service.
    6. Vorotnikova, Ekaterina & VanSickle, John J. & Borisova, Tatiana, 2013. "The Economic Value of Precision Management System for Fungicide Application in Florida Strawberry Industry," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143108, Southern Agricultural Economics Association.
    7. Murat Isik & Madhu Khanna, 2003. "Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 305-317.
    8. Khanna, Madhu & Isik, Murat & Winter-Nelson, Alex, 2000. "Investment in site-specific crop management under uncertainty: implications for nitrogen pollution control and environmental policy," Agricultural Economics, Blackwell, vol. 24(1), pages 9-21, December.
    9. Thomas, Arthur C. & Boisvert, Richard N., 1995. "The Bioeconomics Of Regulating Nitrates In Groundwater From Agricultural Production Through Taxes, Quantity Restrictions, And Pollution Permits," Research Bulletins 122999, Cornell University, Department of Applied Economics and Management.

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