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Sodbusting, Crop Insurance, and Sunk Conversion Costs

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  • Ruiqing Miao
  • David A. Hennessy
  • Hongli Feng

Abstract

We build a real option model that articulates sodbusting incentives arising from risk interventions in the presence of conversion costs. The model shows that risk interventions reduce expected costs of switching land use between cropping and noncropping activities and, hence, incentivize sodbusting. Based on data for south-central North Dakota over 1989–2012, our simulations show that offsetting 20% of a cropping-return shortfall by a risk intervention increases the sodbusting cost threshold, below which sodbusting will occur, by 41% (or $43.7/acre). Omitting cropping-return risk across time underestimates the sodbusting cost threshold by 23% (or $24.35/acre) and hence underestimates sodbusting caused by crop production.

Suggested Citation

  • Ruiqing Miao & David A. Hennessy & Hongli Feng, 2014. "Sodbusting, Crop Insurance, and Sunk Conversion Costs," Land Economics, University of Wisconsin Press, vol. 90(4), pages 601-622.
  • Handle: RePEc:uwp:landec:v:90:y:2014:i:4:p:601-622
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    Cited by:

    1. Hongli Feng & Tong Wang & David A. Hennessy & Gaurav Arora, 2022. "Over-Perception about Land Use Changes: Assessing Empirical Evidence and Linkage with Decisions and Motivated Beliefs," Land Economics, University of Wisconsin Press, vol. 98(2), pages 254-273.
    2. Wang, Tong & Luri, Moses & Janssen, Larry & Hennessy, David A. & Feng, Hongli & Wimberly, Michael C. & Arora, Gaurav, 2017. "Determinants of Motives for Land Use Decisions at the Margins of the Corn Belt," Ecological Economics, Elsevier, vol. 134(C), pages 227-237.
    3. Avery S. Cohn & Juliana Gil & Thomas Berger & Heitor Pellegrina & Chantal Toledo, "undated". "Patterns and Processes of Pasture to Crop Conversion in Brazil: Evidence from Mato Grosso State," Mathematica Policy Research Reports 8ce99775615f42b98ff43f530, Mathematica Policy Research.
    4. Kim, Youngho & Lichtenberg, Erik & Newburn, David, 2022. "Payments and Penalties in Ecosystem Services Programs," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322103, Agricultural and Applied Economics Association.
    5. Arora, Gaurav & Wolter, Peter T. & Hennessy, David A. & Feng, Hongli, 2016. "Land Use Change and Policy in Iowa’s Loess Hills," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 5(4).
    6. Feng, Hongli & Wang, Tong & Hennessy, David A., 2017. "Perception Biases and Land Use Decisions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258571, Agricultural and Applied Economics Association.
    7. Wang, Tong & Luri, Moses & Janssen, Larry & Hennessy, David & Feng, Hongli & Wimberly, Michael & Arora, Gaurav, 2016. "Farmers’ Rankings of the Determinants of Land Use Decisions at the Margins of the Corn Belt," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235109, Agricultural and Applied Economics Association.
    8. Ruiqing Miao & David A. Hennessy & Hongli Feng, 2022. "Grassland easement evaluation and acquisition with uncertain conversion and conservation returns," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(1), pages 41-61, March.
    9. Jisang Yu & Daniel A. Sumner, 2018. "Effects of subsidized crop insurance on crop choices," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 533-545, July.

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    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)

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