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Effects of Federal Risk Management Programs on Optimal Acreage Allocation and Nitrogen Use in a Texas Cotton–Sorghum System

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  • Seo, Sangtaek
  • Mitchell, Paul D.
  • Leatham, David J.

Abstract

We analyze the effects of crop insurance and the Marketing Loan Program on optimal nitrogen use and acreage allocation for a case cotton–sorghum farm in Texas. A mathematical programming model is used to solve for the optimal nitrogen fertilizer rate, crop acreage allocation, coverage level, and price election factor, along with participation in the crop insurance and the Marketing Loan Program for both crops. Results show that depending on the crop and farmer risk aversion, these federal risk management programs increase or decrease optimal fertilizer rates –6% to 3%, increase optimal cotton acreage 94% to 144%, and decrease sorghum acres up to 50%.

Suggested Citation

  • Seo, Sangtaek & Mitchell, Paul D. & Leatham, David J., 2005. "Effects of Federal Risk Management Programs on Optimal Acreage Allocation and Nitrogen Use in a Texas Cotton–Sorghum System," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(3), pages 685-699, December.
    • Handle: RePEc:cup:jagaec:v:37:y:2005:i:03:p:685-699_02
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    Citations

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    Cited by:

    1. Sangtaek Seo & Eduardo Segarra & Paul D. Mitchell & David J. Leatham, 2008. "Irrigation technology adoption and its implication for water conservation in the Texas High Plains: a real options approach," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 47-55, January.
    2. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2012. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 225-237.
    3. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    4. Zhihui Chai & Xiaoxia Zhang, 2023. "The Impact of Agricultural Insurance on Planting Structure Adjustment—An Empirical Study from Inner Mongolia Autonomous Region, China," Agriculture, MDPI, vol. 14(1), pages 1-21, December.
    5. Mitchell, Paul D. & Knight, Thomas O., 2008. "Economic Analysis of Supplemental Deductible Coverage as Recommended in the USDA's 2007 Farm Bill Proposal," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(1), pages 1-15, April.
    6. Seo, Sangtaek & Mitchell, Paul D. & Leatham, David J., 2008. "Risk Sharing and Incentives with External Equity Financing and Crop Insurance," Staff Papers 92204, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    7. Capitanio, Fabian & Adinolfi, Felice & Santeramo, Fabio Gaetano, 2015. "Environmental implications of crop insurance subsidies in Southern Italy," MPRA Paper 60971, University Library of Munich, Germany.
    8. Mitchell, Paul D. & Knight, Thomas O., 2007. "Economic Analysis of Supplemental Deductible Coverage as Recommended in the USDA’s 2007 Farm Bill Proposal," Staff Papers 92125, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.

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