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The Effects of Crop Insurance Subsidies and Sodsaver on Land-Use Change

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  • Miao, Ruiqing
  • Hennessy, David A.
  • Feng, Hongli

Abstract

It is well known that insurance market information asymmetry can cause socially excessive cropping of yield-risky land. We show that crop insurance subsidies can cause the same problem absent information failures. Using field-level yield data, we find an inversed U-shaped relationship between crop prices and crop insurance subsidies’ land-use impacts. For seventeen counties in the U.S. Prairie Pothole Region, simulations show that 0.05% to 3.3% (about 2,600 to 157,900 acres) of land under crop insurance would not have been converted from grassland had premium subsidies not existed. Land-use impacts of Sodsaver in the 2014 Farm Act are also quantified.

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  • Miao, Ruiqing & Hennessy, David A. & Feng, Hongli, 2016. "The Effects of Crop Insurance Subsidies and Sodsaver on Land-Use Change," ISU General Staff Papers 201605010700001803, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:201605010700001803
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    Cited by:

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    3. Bigelow, Daniel & Borchers, Allison, 2017. "Major Uses of Land in the United States, 2012," Economic Information Bulletin 263079, United States Department of Agriculture, Economic Research Service.
    4. 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.
    5. Lee, Chien-Chiang & Zeng, Mingli & Luo, Kang, 2023. "Food security and digital economy in China: A pathway towards sustainable development," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1106-1125.
    6. 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.
    7. Jisang Yu & Nathan P. Hendricks, 2020. "Input Use Decisions with Greater Information on Crop Conditions: Implications for Insurance Moral Hazard and the Environment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 826-845, May.
    8. Anton Bekkerman, 2021. "Quality forecasts: Predicting when and how much markets value higher‐protein wheat," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 465-490, December.
    9. Sweikert, Lily A. & Gigliotti, Larry M., 2019. "Evaluating the role of Farm Bill conservation program participation in conserving America’s grasslands," Land Use Policy, Elsevier, vol. 81(C), pages 392-399.
    10. 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.
    11. Miao, Ruiqing & Khanna, Madhu, 2017. "Costs of meeting a cellulosic biofuel mandate with perennial energy crops: Implications for policy," Energy Economics, Elsevier, vol. 64(C), pages 321-334.
    12. Miao, Ruiqing & Khanna, Madhu, 2013. "Crop Insurance for Energy Grasses," 2013 AAEA: Crop Insurance and the Farm Bill Symposium 156936, Agricultural and Applied Economics Association.
    13. Traci Bruckner, 2016. "Agricultural Subsidies and Farm Consolidation," American Journal of Economics and Sociology, Wiley Blackwell, vol. 75(3), pages 623-648, May.
    14. Lan Yao & Xiaobo Yan & Miaomiao Xu & Mengya Wu & Zhenning Yu & Min Li, 2021. "Study on Herders’ Willingness to Protect Grassland Based on the IAD Extended Decision Model," Land, MDPI, vol. 10(4), pages 1-16, April.
    15. Möhring, Niklas & Dalhaus, Tobias & Enjolras, Geoffroy & Finger, Robert, 2020. "Crop insurance and pesticide use in European agriculture," Agricultural Systems, Elsevier, vol. 184(C).
    16. Bekkerman, Anton, 2017. "Quality Forecasts: Predicting When and How Much Markets Value Higher Protein Wheat," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259119, Agricultural and Applied Economics Association.
    17. Lark, Tyler J., 2020. "Protecting our prairies: Research and policy actions for conserving America’s grasslands," Land Use Policy, Elsevier, vol. 97(C).
    18. Chemeris, Anna & Liu, Yong & Ker, Alan P., 2022. "Insurance subsidies, climate change, and innovation: Implications for crop yield resiliency," Food Policy, Elsevier, vol. 108(C).
    19. 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.
    20. Kun Song & Yu Tang & Dungang Zang & Hua Guo & Wenting Kong, 2022. "Does Digital Finance Increase Relatively Large-Scale Farmers’ Agricultural Income through the Allocation of Production Factors? Evidence from China," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
    21. Prasenjit N. Ghosh & Ruiqing Miao & Emir Malikov, 2023. "Crop insurance premium subsidy and irrigation water withdrawals in the western United States," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 968-992, October.
    22. Gohin, Alexandre, 2018. "Lessons from the U.S. risk management instruments for the future CAP," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271965, European Association of Agricultural Economists.
    23. Miao, Ruiqing & Khanna, Madhu, 2015. "Costs of Meeting the Cellulosic Biofuel Mandate with an Energy Crop with Establishment Cost and Yield Risk: Implications for Policy," 2015 Conference, August 9-14, 2015, Milan, Italy 212458, International Association of Agricultural Economists.

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