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Mitigating Cotton Revenue Risk Through Irrigation, Insurance,and Hedging

Published online by Cambridge University Press:  26 January 2015

E. Hart Bise Barham ,
John R.C. Robinson ,
James W. Richardson  and
M. Edward Rister
E. Hart Bise Barham
Affiliation:
Doane Advisory Services, St. Louis, Missouri
John R.C. Robinson
Affiliation:
Department of Agricultural Economics at Texas A&M University, College Station, Texas
James W. Richardson
Affiliation:
Department of Agricultural Economics at Texas A&M University, College Station, Texas
M. Edward Rister
Affiliation:
Department of Agricultural Economics at Texas A&M University, College Station, Texas
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Abstract

This study focuses on managing cotton production and marketing risks usingcombinations of irrigation levels, put options (as price insurance), andcrop insurance. Stochastic cotton yields and prices are used to simulate awhole-farm financial statement for a 1,000 acre furrow-irrigated cotton farmin the Texas Lower Rio Grande Valley under 16 combinations of riskmanagement strategies. Analyses for risk-averse decision makers indicatethat multiple irrigations are preferred. The benefits to purchasing putoptions increase with yields, as they are more beneficial when higher yieldsare expected from applying more irrigation applications. Crop insurance isstrongly preferred at lower irrigation levels.

Keywords

cottoncrop insuranceirrigationoptionsputsrisksimulationstochastic efficiency with respect to a functionD81Q12Q15
Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 43 , Issue 4 , November 2011 , pp. 529 - 540
Copyright
Copyright © Southern Agricultural Economics Association 2011

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References

Anderson, J.R., and Dillon, J.L. “Risk Analysis in Dryland Farming Systems.” Farming Systems Management Series No. 2. Rome: FAO, 1992.Google Scholar
Bailey, D.V., and Richardson, J.W. “Analysis of Selected Marketing Strategies: A Whole-Farm Simulation Approach.” American Journal of Agricultural Economics 67,4(1985):813–20.10.2307/1241821Google Scholar
Blacklands Research and Extension Center - Texas A&M University System. AgriLife Research. CroPMan, Crop Production and Management Tool. Internet site: http://cropman.brc.tamus.edu/ (Accessed September 2006).Google Scholar
Coble, K.H., Heifner, R., 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
Coble, K.H., Knight, T.O., Patrick, G.F., and Baquet, A.E. “Understanding the Economic Factors Influencing Farm Policy Preferences.” Review of Agricultural Economics 24(2002):309–21.10.1111/1467-9353.00021Google Scholar
Coble, K.H., Zuniga, M., and Heifner, R. “Evaluation of the Interaction of Risk Management Tools for Cotton and Soybeans.” Agricultural Systems 75(2003):323–40.10.1016/S0308-521X(02)00073-2Google Scholar
Dalton, T.J. “Risk Management Strategies in Humid Production Regions: A Comparison of Supplemental Irrigations and Crop Insurance.” Agricultural and Resource Economics Review 33,2(2004):220–32.Google Scholar
Farm Service Agency - United States Department of Agriculture. Internet site: www.fsa.usda.gov (Accessed October 2006).Google Scholar
Food and Agricultural Policy Research Institute - University of Missouri and Iowa State University. World Agricultural Outlook Database. Internet site: http://www.fapri.org/tools/outlook.aspx (Accessed January 2007).Google Scholar
Gleaton, C.S. Personal communication. Texas A&M University, Department of Agricultural Economics. September 2006.AMBIGUOUS (743548 citations)Google Scholar
Hardaker, J.B., Huirne, R.B.M., Anderson, J.R., and Lien, G. Coping with Risk in Agriculture, 2nd ed. Wallingford, UK: CAB International, 2004a, 352 pp.Google Scholar
Hardaker, J.B., Richardson, J.W., Lien, G., and Schumann, K.D. “Stochastic Efficiency Analysis with Risk Aversion Bounds: A Simplified Approach.” The Australian Journal of Agricultural and Resource Economics 48,2(2004b):253–70.10.1111/j.1467-8489.2004.00239.xGoogle Scholar
Harman, W.L., Gerik, T.J., Magre, M., Steglich, E., and Robinson, J.R. “Irrigation Yield Response of Crops in the Lower Rio Grande Valley of Texas.” BRC Report No. 05-05. Blacklands Research and Extension Center, November 7, 2005.AMBIGUOUS (697180 citations)Google Scholar
Harris, T.R., and Mapp, H.P. “A Stochastic Dominance Comparison of Water-Conserving Irrigation Strategies.” American Agricultural Economics Association 68,2(1986):298–305.10.2307/1241431Google Scholar
Harwood, J.L., Heifner, R., Perry, J., Coble, K., and Somwaru, A. “Managing Risk in Farming: Concepts, Research and Analysis.” Agricultural Economic Report No. 774. Washington, DC: U.S. Department of Agriculture/Economic Research Service, 1999.AMBIGUOUS (490695 citations)Google Scholar
Hudgins, K. “Cotton Country.” Window on State Government, Fiscal Notes. Austin, TX: Texas Comptroller's of Public Accounts, November 2003. Internet site: www.window.state.tx.us/comptrol/fnotes/fh0311/cotton.html (Accessed November 2006).Google Scholar
Ko, J., Piccinni, G., Guo, W., and Steglich, E. “Parameterization of EPIC Crop Model for Simulation of Cotton Growth in South Texas.” The Journal of Agricultural Science 147(2009):169–78.10.1017/S0021859608008356S0021859608008356Google Scholar
Lien, G., Hardaker, J.B., and Flaten, O. “Risk and Economic Sustainability of Crop Farming Systems.” Agricultural Systems 94(2007):541–52.10.1016/j.agsy.2007.01.006Google Scholar
Lien, G., Størdal, S., Hardaker, J.B., and Asheim, L.J. “Risk Aversion and Optimal Forest Replanting: A Stochastic Efficiency Study.” European Journal of Operational Research 181,3(2007):1584–92.10.1016/j.ejor.2005.11.055Google Scholar
Lin, S., Mullen, J.D., and Hoogenboom, G. “Farm-Level Risk Management Using Irrigation and Weather Derivatives.” Journal of Agricultural and Applied Economics 40,2(2008):485–92.S1074070800023774Google Scholar
Musunuru, N, Segarra, E., Harman, W.L., McDonald, R.E., and Mass, S.J. “Economic Impacts of Seasonal Weather Information in Dryland Grain Sorghum Production.” Southwestern Journal of Economics 7,1(2005):78–95.Google Scholar
National Agricultural Statistical Service - United States Department of Agriculture. Internet site: http://www.nass.usda.gov/QuickStats/Create_County_All.jsp (Accessed October 2006).Google Scholar
Pandey, S. “Risk-Efficient Irrigation Strategies for Wheat.” Agricultural Economics 4,1(1990):59–71.10.1016/0169-5150(90)90020-2Google Scholar
Power, G.J., and Robinson., J.R.C. “Cotton Futures Dynamics: Structural Change, Index Traders and the Returns to Storage.” Proceedings of the NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management, St., Louis, MO. Internet site: www.farmdoc.uiuc.edu/nccc134 (Accessed April 2010).AMBIGUOUS (934511 citations)Google Scholar
Ribera, L.A., Hons, F.M., and Richardson, J.W. “An Economic Comparison Between Conventional and No-Tillage Farming Systems in Burleson County, Texas.” Agronomy Journal 96,2(2004):415–24.10.2134/agronj2004.0415Google Scholar
Richardson, J.W. Simulation for Applied Risk Management. College Station, TX: Department of Agricultural Economics, Agricultural and Food Policy Center, Texas A&M University, January 2006.Google Scholar
Richardson, J.W., Klose, S.L., and Gray, A.W. “An Applied Procedure for Estimating and Simulating Multivariate Empirical (MVE) Probability Distributions in Farm-Level Risk Assessment and Policy Analysis.” Journal of Agricultural and Applied Economics 32,2(2000):299–315.S107407080002037XGoogle Scholar
Risk Management Agency — United States Department of Agriculture. Premium Calculator. Internet site: http://www.rma.usda.gov/tools/premcalc.html (Accessed October 3, 2006).Google Scholar
Robinson, J.R.C. Personal communication. Texas AgriLife Extension Service. December 2006.Google Scholar
Robinson, J.R.C., and McCorkle, D.A. “Trends and Prospects for Texas Cotton.” Texas; Connecting the Old West to the New East. Internet site: www.cotlook.com/SpecialFeatures/Texas2006/RobinsonMcCorkle.pdf (Accessed December 2006).Google Scholar
Robinson, J.R.C., Michelsen, A.M., and Gollehon, N.R. “Mitigating Water Shortages in a Multiple Risk Environment.” Water Policy 12,1(2010):114–28.10.2166/wp.2009.099Google Scholar
Robinson, J.R.C., Park, J., Smith, J., and Anderson, C. Basic Marketing of Texas Cotton: Forward Contracts, Cash Sales, Marketing Pools, and the USDA Loan Program. Bulletin E-421. College Station, TX: Texas A&M University System/Texas Cooperative Extension, 2006.Google Scholar
Senft, D. “Extra Irrigations Protect Cotton.” Agricultural Research 40(1992):2.Google Scholar
Stokes, K.W., and Ortega, L.E. “Producer Access to Multi-Year, County Level Crop Insurance Data for Cotton.” Presented at the National Cotton Council Beltwide Cotton Conference, San Antonio, Texas, January 3-6, 2006.AMBIGUOUS (743548 citations)Google Scholar
Stubbs, M., Rister, M.E., Lacewell, R.D., Ellis, J.R., Robinson, J.R.C., and Sturdivant, A.W. “Development and Implications of Irrigations District Operating Rules and Water Rights in the Rio Grande Valley: An International Water Resource.” Proceedings of Water Security in the 21st Century, University Council on Water Resources Annual Meeting, Washington, DC, July 31, 2003.AMBIGUOUS (591927 citations)Google Scholar
Supercinski, D. CroPMan Programs Aid Growers. Texas Water Resources Institute - Texas A&M University System, May 2005. Internet site: http://twri.tamu.edu/news/2005/05/02/cropman-programs-aid-growers (Accessed May 12, 2006).Google Scholar
Texas AgriLife Extension Service - Texas A&M University System. Crop and Livestock Budgets. Internet site: http://agecoext.tamu.edu/budgets/commodity/cotton/index.php (Accessed October 2006).Google Scholar
Williams, J.R., Jones, C.A., and Dyke, P.T. “A Modeling Approach to Determining the Relationship between Erosion and Soil Productivity.” Transactions of the American Society of Agricultural Engineers 27(1984):129–44.10.13031/2013.32748Google Scholar
Zuniga, M., Coble, K.H., and Heifner, R. “Evaluation of Hedging in the Presence of Crop Insurance and Government Loan Programs.” Presented at the NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management, St. Louis, MO, April 23-24, 2001.AMBIGUOUS (544358 citations)Google Scholar