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Factors Affecting Farmers' Utilization of Agricultural Risk Management Tools: The Case of Crop Insurance, Forward Contracting, and Spreading Sales

Published online by Cambridge University Press:  26 January 2015

Margarita Velandia ,
Roderick M. Rejesus ,
Thomas O. Knight  and
Bruce J. Sherrick
Margarita Velandia
Affiliation:
Department of Agricultural Economics, University of Tennessee, Knoxville, TN
Roderick M. Rejesus
Affiliation:
Department of Agricultural and Resource Economics, North Carolina State University, Raleigh, NC
Thomas O. Knight
Affiliation:
Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX
Bruce J. Sherrick
Affiliation:
Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, Urbana, IL
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Abstract

Factors affecting the adoption of crop insurance, forward contracting, and spreading sales are analyzed using multivariate and multinomial probit approaches that account for simultaneous adoption and/or correlation among the three risk management adoption decisions. Our empirical results suggest that the decision to adopt crop insurance, forward contracting, and/or spreading sales are correlated. Richer insights can be drawn from our multivariate and multinomial probit analysis than from separate, single-equation probit estimation that assumes independence of adoption decisions. Some factors significantly affecting the adoption of the risk management tools analyzed are proportion of owned acres, off-farm income, education, age, and level of business risks.

Keywords

adoption decisionscrop insuranceforward contractingmultinomial probitmultivariate probitrisk managementspreading salesG22Q12Q18
Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 41 , Issue 1 , April 2009 , pp. 107 - 123
Copyright
Copyright © Southern Agricultural Economics Association 2009

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References

Anton, W.R.Q. “The Choice of Management Practices: What Determines the Design of an Environmental Management System?” Selected Paper, AAEA Annual Meetings, Providence, RI. July 24-27, 2005.Google Scholar
Calvin, L. Participation in the U.S. Federal Crop Insurance Program. Washington, DC: USDA- Economic Research Service, Tech. Bulletin No. 1800, June 1992.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
Davis, T.D., Patrick, G.F., Coble, K.H., Knight, T.O., and Baquet, A.E. “Forward Pricing Behavior of Corn and Soybean Production.” Journal of Agricultural and Applied Economics 37(2005):145–60.Google Scholar
Fernandez-Cornejo, J., Hendricks, C., and Mishra, A. “Technology Adoption and Off-Farm Household Income: The Case of Herbicide-Tolerant Soybeans.” Journal of Agricultural and Applied Economics 37(2005):549–63.Google Scholar
Goodwin, B.K., and Schroeder, T.C. “Human Capital, Producer Education Programs, and The Adoption of Forward-Pricing Methods.” American Journal of Agricultural Economics 76(1994):936–47.CrossRefGoogle Scholar
Geweke, J. “Bayesian Inference in Econometric Models Using Monte Carlo Integration.” Econometrica 57(1989):1317–39.CrossRefGoogle Scholar
Gillespie, J.M., Davis, CG., and Rahelizatovo, N.C., “Factors Influencing the Adoption of Breeding Technologies in U.S. Hog Production.” Journal of Agricultural and Applied Economics 36(2004):35–47.Google Scholar
Greene, W.H. Econometric Analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall, 2003.Google Scholar
Greene, W.H., LIMDEP Version. 9.0: Econometric Modeling Guide, Vol 1. Plainview, NY: Econometric Software, Inc., 2007.Google Scholar
Hajivassiliou, VA. “Simulation Estimation Methods for Limited Dependent Variables Models.” Cowles Foundation Discussion Papers:1007. New Haven, CT: Yale University, 1991.Google Scholar
Ke, B., and Wang, H.H. “An Assessment of Risk Management Strategies for Grain Growers in the Pacific Northwest.” Agricultural Finance Review 62(2002):117–33.CrossRefGoogle Scholar
Keane, M. “A Computationally Practical Simulation Estimator for Panel Data.” Econometrica 62(1994):95–116.Google Scholar
Kiefer, N.M. “Testing for Dependence for Multivariate Probit Models.” Biometrika 69(1982):161–66.CrossRefGoogle Scholar
Knight, T.O., Loveli, A.C., Rister, M.E., and Coble, K.H. “An Analysis of Lenders’ Influence on Agricultural Producers’ Risk Management Decisions.” Southern Journal of Agricultural Economies 21(1989):21–33.Google Scholar
Makki, S.S., and Somwaru, A.. Asymmetric Information in the Market for Yield and Revenue Insurance Products. Washington, DC: USDA Economic Research Service, Technical Bulletin No. 1892, April 2001.Google Scholar
Makus, L.D., Lin, B.H., Carlson, J., and Kreibill-Prather, R. “Factors Influencing Farm-Level Use of Futures and Options in Commodity Marketing.” Agribusiness International Journal (Toronto, Ont.) 6(1990):621–31.Google Scholar
Mishra, A.K., and El-Osta, H.S. “Managing Risk in Agriculture through Hedging and Crop Insurance: What Does a National Survey Reveal?” Agricultural Finance Review 62(2002):135–48.Google Scholar
Nhemachena, C, and Hassan, R. “Micro-Level Analysis of Farmers' Adaptation to Climate Change in Southern Africa.” IFPRI Discussion Paper00714, Washington, DC: International Food Policy Research Institute (IFPRI), August 2007.Google Scholar
Roucan-Kane, M., and Keeney, R. “Farm Household Labor Allocation and Hired Labor Demands in the Midwest U.S.: The Impact of Government Payments.” Working Paper #07-11, Purdue University, West Lafayette, IN, September 2007.Google Scholar
Sartwelle, J., O'Brien, D., Tierney, W. Jr, and Eggers, T. “The Effect of Personal and Farm Characteristics upon Grain Marketing Practices.” Journal of Agricultural and Applied Economics 32(2000):95–111.CrossRefGoogle Scholar
Seo, S.N., and Mendelsohn, R. “Climate Change Adaptiation in Africa: A Microeconomic Analysis of Livestock Choice.” World Bank Policy Research Working Paper #4277, Washington, DC: The World Bank, July 2007.Google Scholar
Shapiro, B.I., and Brorsen, B.W. “Factors Affecting Farmers' Hedging Decisions.” North Central Journal of Agricultural Economics 10(1988):145–53.Google Scholar
Sherrick, B.J., Barry, P.J., Ellinger, P.N., and Schnitkey, G.D. “Factors Influencing Farmers' Crop Insurance Decisions.” American Journal of Agricultural Economics 86(2004):103–14.Google Scholar
Smith, V.H., and Baquet, A.E. “The Demand for Multiple Peril Crop Insurance: Evidence from Montana Wheat Farms.” American Journal of Agricultural Economics 78(1996):189–201.Google Scholar