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Contracting in the Presence of Insurance: The Case of Bioenergy Crop Production

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  • Yang, Xi
  • Miao, Ruiqing
  • Khanna, Madhu

Abstract

This paper investigates the interaction of crop insurance and contracts in improving the risk management of farmers who produce bioenergy crops. Numerical simulation is conducted for 1,919 U.S. counties east of the 100th Meridian that have yield data for corn and for at least one bioenergy crop yield of miscanthus and switchgrass. County-level yield data, both on low quality land and high quality land, are simulated by using DayCent model, and Copula approach is used to estimate a joint yield-price distribution for each county. We model a representative farmers’ optimal choice problem of whether to use their land to grow conventional crops or to use their land for production of bioenergy crops under one of three different contract choices offered by the biorefinery. The terms of these contracts are determined in such a manner that they jointly maximize the net benefits of the refinery and farmers. We do this joint optimization in two scenarios: ‘With insurance’ and ‘Without insurance’ for bioenergy crops to see how presence of crop insurance for bioenergy crops will affect the optimal contract design and will affect land allocation under a certain contract type.
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Suggested Citation

  • Yang, Xi & Miao, Ruiqing & Khanna, Madhu, 2014. "Contracting in the Presence of Insurance: The Case of Bioenergy Crop Production," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170188, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170188
    DOI: 10.22004/ag.econ.170188
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    References listed on IDEAS

    as
    1. Coble, Keith H. & Heifner, Richard G. & Zuniga, Manuel, 2000. "Implications Of Crop Yield And Revenue Insurance For Producer Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-21, December.
    2. Keith H. Coble, 2004. "The joint effect of government crop insurance and loan programmes on the demand for futures hedging," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 31(3), pages 309-330, September.
    3. Sartwelle, James D., III & O'Brien, Daniel M. & Tierney, William I., Jr. & Eggers, Tim, 2000. "The Effect Of Personal And Farm Characteristics Upon Grain Marketing Practices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(1), pages 1-17, April.
    4. Paulson Nicholas D & Katchova Ani L & Lence Sergio H, 2010. "An Empirical Analysis of the Determinants of Marketing Contract Structures for Corn and Soybeans," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-25, May.
    5. Yang, Xi & Paulson, Nicholas D. & Khanna, Madhu, 2012. "Optimal Contracts to Induce Biomass Production under Risk," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124699, Agricultural and Applied Economics Association.
    6. Velandia, Margarita M. & Rejesus, Roderick M. & Knight, Thomas O. & Sherrick, Bruce J., 2009. "Factors Affecting Farmers’ Utilization of Agricultural Risk Management Tools: The Case of Crop Insurance, Forward Contracting, and Spreading Sales," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(1), pages 1-17, April.
    7. Sartwelle, James & O'Brien, Daniel & Tierney, William & Eggers, Tim, 2000. "The Effect of Personal and Farm Characteristics upon Grain Marketing Practices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(1), pages 95-111, April.
    8. Paulson Nicholas D & Katchova Ani L & Lence Sergio H, 2010. "An Empirical Analysis of the Determinants of Marketing Contract Structures for Corn and Soybeans," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-25, May.
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