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Information Value And Risk Premium In Agricultural Production Under Risk: The Case Of Split Nitrogen Application For Corn

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  • Thomas, Alban
  • Bontems, Philippe

Abstract

This paper considers an agricultural production model of sequential nitrogen application under risk. Because of random shocks between successive production stages, optimal fertilization decisions depend on the magnitude of farmers' risk aversion (risk premium), and the possibility for farmers to process information (value of information). We propose a joint estimation procedure of technology and risk aversion parameters, using a structural, simulation-based econometric technique. Parameter estimates for the representative farmer's utility function allow to compute both the value of information and the risk premium for farmers. Those account together for about 30 percent of fertilizer cost for Midwest corn producers.

Suggested Citation

  • Thomas, Alban & Bontems, Philippe, 1998. "Information Value And Risk Premium In Agricultural Production Under Risk: The Case Of Split Nitrogen Application For Corn," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20844, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea98:20844
    DOI: 10.22004/ag.econ.20844
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    1. Huang, Wen-Yuan & Uri, Noel D. & Hansen, LeRoy, 1994. "Timing Nitrogen Fertilizer Applications To Improve Water Quality," Staff Reports 278735, United States Department of Agriculture, Economic Research Service.
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    4. Feinerman, Eli & Kwan, E. & Johnson, Stanley R., 1990. "Uncertainty and Split Nitrogen Application in Corn Production," Staff General Research Papers Archive 328, Iowa State University, Department of Economics.
    5. Fafchamps, Marcel, 1993. "Sequential Labor Decisions under Uncertainty: An Estimable Household Model of West-African Farmers," Econometrica, Econometric Society, vol. 61(5), pages 1173-1197, September.
    6. Feinerman, Eli & Choi, E. Kwan & Johnson, Stanley R., 1990. "Uncertainty and Split Nitrogen Application in Corn Production," Staff General Research Papers Archive 10598, Iowa State University, Department of Economics.
    7. Keith O. Fuglie & Darrell J. Bosch, 1995. "Economic and Environmental Implications of Soil Nitrogen Testing: A Switching-Regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 891-900.
    8. Chavas, Jean-Paul & Holt, Matthew T, 1996. "Economic Behavior under Uncertainty: A Joint Analysis of Risk Preferences and Technology," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 329-335, May.
    9. Lambert, David K., 1990. "Risk Considerations In The Reduction Of Nitrogen Fertilizer Use In Agricultural Production," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(2), pages 1-11, December.
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    Cited by:

    1. Paulina Oliva & B. Kelsey Jack & Samuel Bell & Elizabeth Mettetal & Christopher Severen, 2020. "Technology Adoption under Uncertainty: Take-Up and Subsequent Investment in Zambia," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 617-632, July.
    2. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    3. Camille Tevenart & Marielle Brunette, 2021. "Role of Farmers’ Risk and Ambiguity Preferences on Fertilization Decisions: An Experiment," Sustainability, MDPI, vol. 13(17), pages 1-27, August.
    4. Baptiste Lelyon & Vincent Chatellier & Karine Daniel, 2011. "Decoupling and prices: determinant of dairy farmers’ choices?," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 92(1), pages 47-68.
    5. Holden, S.T. & Quiggin, J., 2018. "Probability Weighting and Fertilizer Use in a State-Contingent Framework," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277355, International Association of Agricultural Economists.
    6. 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.
    7. Garcia, Philip & Nelson, Carl H., 2003. "Engaging Students In Research: The Use Of Structured Professional Dialogue," 2003 Annual meeting, July 27-30, Montreal, Canada 21894, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Holden , Stein T. & Quiggin, John, 2017. "Probability Weighting and Input Use Intensity in a State-Contingent Framework," CLTS Working Papers 8/17, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 21 Oct 2019.
    9. Gomez-Limon, Jose Antonio & Riesgo, Laura & Arriaza Balmón, Manuel, 2002. "Agricultural Risk Aversion Revisited: A Multicriteria Decision-Making Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24827, European Association of Agricultural Economists.
    10. Gomez-Limon, Jose A. & Arriaza, Manuel & Riesgo, Laura, 2003. "An MCDM analysis of agricultural risk aversion," European Journal of Operational Research, Elsevier, vol. 151(3), pages 569-585, December.
    11. 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.
    12. Vercammen, James & Gulati, Sumeet & Anda, Mario, 2004. "Government Taxation Schemes to Reduce Fertilizer Runoff," Annual Meeting, 2004, June 20-23, Halifax, Nova Scotia 34195, Canadian Agricultural Economics Society.
    13. Eli Feinerman & Marinus Komen, 2005. "The Use of Organic vs. Chemical Fertilizer with a Mineral Losses Tax: The Case of Dutch Arable Farmers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(3), pages 367-388, November.
    14. Bontemps, C. & Couture, S. & Favard, P., 2001. "Is the Irrigation Water Demand Really Convex ?," Cahiers du LASER (LASER Working Papers) 2001.04, LASER (Laboratoire de Science Economique de Richter), Faculty of Economics, University of Montpellier 1.
    15. Bontems, Philippe & Thomas, Alban, 2001. "Optimal Regulation Under Asymmetric Information And Risk Aversion With An Application To Pollution Control," 2001 Annual meeting, August 5-8, Chicago, IL 20727, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Nakashima, Takahiro, 2006. "Linear Structural Models of Production under Price Uncertainty: A Mean-Standard Deviation Approach," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 8, pages 1-11.
    17. Philip Garcia & Carl H. Nelson, 2003. "Engaging Students in Research: The Use of Professional Dialogue," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(2), pages 569-577.
    18. Tronstad, Russell & Silvertooth, Jeffrey C. & Husman, Steve, 2001. "Optimal Production Inputs With Varying Quality And Yield Components: Irrigation Termination Of Upland," 2001 Annual Meeting, July 8-11, 2001, Logan, Utah 36088, Western Agricultural Economics Association.
    19. EECKHOUDT Louis & THOMAS Alban & TREICH Nicolas, 2006. "Correlated Risks and the Value of Information for Agricultural Producers," LERNA Working Papers 06.12.205, LERNA, University of Toulouse.
    20. Alexandre Gohin, 2019. "General Equilibrium Modelling of the Insurance Industry: U.S. Crop Insurance," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(2), pages 108-145, December.
    21. Williams, Byron K. & Eaton, Mitchell J. & Breininger, David R., 2011. "Adaptive resource management and the value of information," Ecological Modelling, Elsevier, vol. 222(18), pages 3429-3436.

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