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

Published online by Cambridge University Press:  28 April 2015

Sangtaek Seo
Affiliation:
Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX
Paul D. Mitchell
Affiliation:
Department of Agricultural and Applied Economics, University of Wisconsin–Madison, Madison, WI
David J. Leatham
Affiliation:
Department of Agricultural Economics, Texas A&M University, College Station, TX

Abstract

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

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2005

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References

Babcock, B.A., Choi, E.K., and Feinerman, E.. “Risk and Probability Premiums for CARA Utility Functions.Journal of Agricultural and Resource Economics 18(1993): 1724.Google Scholar
Babcock, B.A., and Hennessy, D.. “Input Demand under Yield and Revenue Insurance.American Journal of Agricultural Economics 78(1996): 416–27.Google Scholar
Chavas, J.P., and Holt, M.T.. “Acreage Decisions under Risk: The Case of Corn and Soybeans.American Journal of Agricultural Economics 72(1990):529–38.Google Scholar
Coble, K.H., Heifner, R.G., and Zuniga, M.. “Implications of Crop Yield and Revenue Insurance for Producer Hedging.Journal of Agricultural and Resource Economics 25(2000):432–52.Google Scholar
Evans, M., Hastings, N., and Peacock, B.. Statistical Distributions, 3rd ed. New York: John Wiley, 2000.Google Scholar
Goodwin, B.K., and Ker, A.P.. “Modeling Price and Yield Risk.” A Comprehensive Assessment of the Role of Risk in U.S. Agriculture. Just, R.E. and Pope, R.D., eds., pp. 289323 Boston, MA: Kluwer Academic Press, 2002.Google Scholar
Goodwin, B.K., and Smith, V.H.. “An Ex-Post Evaluation of the Conservation Reserve, Federal Crop Insurance, and Other Government Programs: Program Participation and Soil Erosion.Journal of Agricultural and Resource Economics 28(2003):201–16.Google Scholar
Greene, W.H. Econometric Analysis, 4th ed. Upper Saddle River, NJ: Prentice Hall International, 2000.Google Scholar
Hague, S.S., and Overstreet, C.. “Crop Rotation Effects on Nematode Populations.” Making Conservation Tillage Conventional: Proceedings of the 25th Annual Southern Conservation Tillage Conference for Sustainable Agriculture. van Santen, E., ed., pp. 156–60 Auburn, AL: Alabama Agricultural Experiment Station, 2002.Google Scholar
Hennessy, D.A.The Production Effects of Agricultural Income Support Policies under Uncertainty.American Journal of Agricultural Economics 80(1998):4657.Google Scholar
Horowitz, J.K., and Lichtenberg, E.. “Insurance, Moral Hazard, and Chemical Use in Agriculture.American Journal of Agricultural Economics 75(1993):926–35.Google Scholar
Kaylen, M.S., Loehman, E. T., and Preckel, P.V.. “Farm-level Analysis of Agricultural Insurance: A Mathematical Programming Approach.” Agricultural System 30(1989):235–44.Google Scholar
Kaylen, M.S., Preckel, P.V., and Loehman, E.T.. “Risk Modeling Via Direct Utility Maximization Using Numerical Quadrature.American Journal of Agricultural Economics 69(1987): 701–6.Google Scholar
Lambert, D.K., and McCarl, B.A.. “Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function.American Journal of Agricultural Economics 67(1985): 846–52.Google Scholar
Matocha, J.E., Chilcutt, C.F., Richardson, M.P., and Vacek, S.G.. “Impact of Cotton Rotation and Tillage Intensity at Varying Phosphorus Fertility on Certain Sorghum Insects and Grain Yield.” Making Conservation Tillage Conventional: Proceedings of the 25th Annual Southern Conservation Tillage Conference for Sustainable Agriculture. van Santen, E., ed., pp. 180–3 Auburn, AL: Alabama Agricultural Experiment Station, 2002.Google Scholar
McCarl, B.A., and Bessler, D.A.. “Estimating an Upper Bound on the Pratt Risk Aversion Coefficient When the Utility Function Is Unknown.Australian Journal of Agricultural Economics 33(1989):5563.Google Scholar
McFarland, M.L. Personal Communication, Texas A&M University, May 2003.Google Scholar
Mitchell, P.D., Gray, M.E., and Steffey, K.L.. “A Composed Error Model for Estimating Pest-Damage Functions and the Impact of the Western Corn Rootworm Soybean Variant in IlUnois.American Journal of Agricultural Economics 86(2004):332–44.Google Scholar
Pope, R.D., and Kramer, R.A.. “Production Uncertainty and Factor Demands for the Competitive Firm.Southern Economic Journal 46(1979): 489501.Google Scholar
Preckel, P.V, Loehman, E.T., and Kaylen, M.S.. “The Value of Public Information for Micrceco-nomic Production Decisions.Western Journal of Agricultural Economics 12(1987): 193–7.Google Scholar
Richardson, J.W., and Condra, G.D.. “Farm Size Evaluation in the El Paso Valley: A Survival/ Success Approach.American Journal of Agricultural Economics 63(1981):430–37.Google Scholar
Skees, J.R.Agricultural Risk Management or Income Enhancement?Regulation, The CATO Review of Business and Government 22(1st Quarter 1999):3543.Google Scholar
Smith, V.H., and Goodwin, B.K.. “Crop Insurance, Moral Hazard, and Agricultural Chemical Use.American Journal of Agricultural Economics 78(1996):428–38.Google Scholar
Stokes, J.R., Coble, K.H., and Dismukes, R.. “Producer Behavior in the Presence of an Income Stabilization Program.Agricultural Finance Review 60(2000):3360.Google Scholar
Texas Cooperative Extension. “Estimated Costs and Returns per Acre Cotton, Picker, Dryland, Coastal Plain–District 11.” Internet site: http://jenann.tamu.edu/budgets/district/11/2002/cpkr.pdf (2003) (Accessed 07/14/2004).Google Scholar
Turvey, C.G.An Economic Analysis of Alternative Farm Revenue Insurance Policies.Canadian Journal of Agricultural Economics 40(1992):403–26.Google Scholar
U.S. Department of Agriculture-Farm Service Agency (USDA-FSA). “LDP Summary Report (National Level) Selection” (2002a). Internet site: http://www.fsa.usda.gov/pscad/selectldpsummnat.asp (Accessed 06/03/2005).Google Scholar
U.S. Department of Agriculture-Farm Service Agency (USDA-FSA). “Price Support: Loan Rates (2002 Crop)” (2002b). Internet site: http://www.fsa.usda.gov/dafp/psd/LoanRate.htm (Accessed 06/03/2005).Google Scholar
U.S. Department of Agriculture-National Agricultural Statistics Service (USDA-NASS). “Agricultural Statistics Data Base” (2003). Internet site: http://www.nass.usda.gov:81/ipedb/ (Accessed 06/03/2005).Google Scholar
U.S. Department of Agriculture-Risk Management Agency (USDA-RMA). “Summary of Business Data/Reports” (2002a). Internet site: http://www3.rma.usda.gov/apps/sob/state.cfm (Accessed 06/03/2005).Google Scholar
U.S. Department of Agriculture-Risk Management Agency (USDA-RMA). “Crop Established Price Elections and Amounts of Insurance Addendum to 2002 Crop Year Special Provisions of Insurance Crops Filed Through: 12/31/2001” (2002b). Internet site: http://www.rma.usda.gov/FTP/Reports/PriceAddendum/Price%20Addendum%202002 (Accessed 07/14/2004).Google Scholar
U.S. Department of Agriculture-Risk Management Agency (USDA-RMA). “RMA Premium Calculation” (2002c). Internet site: http://www3.rma.usda.gov/apps/premcalc/ (Accessed 06/03/2005).Google Scholar
U.S. Department of Agriculture-Risk Management Agency (USDA-RMA). “Summary of Business Data/Reports” (2002d). Internet site: http://www3.rma.usda.gov/apps/sob/stateCountyCrop.cfm (Accessed 06/03/2005).Google Scholar
Wu, J.Crop Insurance, Acreage Decisions, and Nonpoint-Source Pollution.American Journal of Agricultural Economics 81(1999):305–20.Google Scholar