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Farm-Level Risk Management Using Irrigation and Weather Derivatives

Published online by Cambridge University Press:  26 January 2015

Shanshan Lin ,
Jeffrey D. Mullen  and
Gerrit Hoogenboom
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Abstract

An agronomic crop growth model—the Decision Support System for Agro-Technology Transfer—and a constant relative risk aversion utility function are used to examine corn irrigation strategies in Mitchell County, Georgia. Precipitation contracts are designed to help farmers manage risk. Three conclusions originate from the findings. First, the optimal irrigation strategy can greatly increase producers' certainty-equivalent revenue. Second, changes in water pricing policy would have a limited impact on the amount of water used. And third, across levels of risk preference, the precipitation contracts are not effective in increasing certainty-equivalent revenue or reducing cumulative water use.

Keywords

irrigation risk managementwater pricing policyweather derivative contractD8G22Q15Q25
Type
Invited Paper Sessions
Information
Journal of Agricultural and Applied Economics , Volume 40 , Issue 2 , August 2008 , pp. 485 - 492
Copyright
Copyright © Southern Agricultural Economics Association 2008

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References

Boggess, W.G., Lynne, G.D., Jones, J.W., and Swaney, D.P.. “Risk-Return Assessment of Irrigation Decisions in Humid Regions.” Southern Journal of Agricultural Economics 15(1983):135–43.Google Scholar
Chen, G., Roberts, M.C., and Thraen, C.. “Weather Derivatives in the Presence of Index and Geographical Basis Risk: Hedging Dairy Profit Risk.” Paper presented at the NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management, St. Louis, MO, April 2004.Google Scholar
Endale, D.M., and Fipps, G.. “Simulation-Based Irrigation Scheduling as a Water Management Tool in Developing Countries.” Irrigation and Drainage 50,3(2001):249–57.Google Scholar
Escalante, C.L., and Roderick, R.M.. “Farmland Control Decisions under Different Intertemporal Risk Behavioral Constructs.” Paper presented at the annual meetings of the American Agricultural Economics Association, May 10, 2005.Google Scholar
Forrest, P.J. “A Case Study of Heating Oil Partner's Weather Hedging Experience.” Climate Risk and the Weather Market: Financial Risk Management with Weather Hedges, Dischel, R.S. ed., p. 265–278. London: Risk Books, 2002.Google Scholar
Härdle, W. Applied Nonparametric Regression. Cambridge: Cambridge University Press, 1992.Google Scholar
Harris, T.R., and Mapp, H.P.. “A Control Theory Approach to Optimal Irrigation Scheduling in the Oklahoma Panhandle.” Southern Journal of Agricultural Economics 12(1980):165–71.Google Scholar
Harris, T.R., and Mapp, H.P.. “A Stochastic Dominance Comparison of Water Conserving Irrigation Strategies.” American Journal of Agricultural Economics 68(1988):298–306.Google Scholar
Howell, T.A., Hiler, E.A., and Reddell, D.L.. “Optimizing of Water Use Efficiency Under High Frequency Irrigation—II System Simulation and Dynamic Programming.” Transactions of the American Society of Agricultural Engineering 18(1975):879–87.CrossRefGoogle Scholar
Jagtap, S.S., Lal, U., Jones, J.W., Gijsman, A.J., and Ritchie, J.T.. “A Dynamic Nearest-Neighbor Method for Estimating Soil Water Parameters.” Transactions of the American Society of Agricultural Engineering 47(2004):1437–44.CrossRefGoogle Scholar
Lyle, W.M., and Bordovsky, J.P.. “LEPA Irrigation System Evaluation.” Transactions of the American Society of Agricultural Engineering 26(1983):776–81.Google Scholar
Maas, S.J., and Arkin, G.F.. User's Guide to SORGF; A Dynamic Grain Sorghum Growth Model with Feedback Capacity. Temple, TX: Blackland Research Center, January 1978.Google Scholar
Mahul, O. “Optimal Insurance Against Climatic Experience.” American Journal of Agricultural Economics 83(2001):593–604.CrossRefGoogle Scholar
Manfredo, M.R., and Leuthold, R.M.. “Value-at-Risk Analysis: A Review and the Potential for Agricultural Applications.” Review of Agricultural Economics 21(1999):99–111.Google Scholar
Martin, S.W., Barnett, B.J., and Coble, K.H.. “Developing and Pricing Precipitation Insurance.” Journal of Agricultural and Resource Economics 26(July 2001):261–74.Google Scholar
Miranda, M.J., and Vedenov, D.V.. “Innovations in Agricultural and Natural Disaster Insurance.” American Journal of Agricultural Economics 83(2001):650–56.Google Scholar
Morgan, T.H., Biere, A.W., and Kanemasu, E.T.. “A Dynamic Model of Corn Yield Response to Water.” Water Resources Research 16(1980):59–64.Google Scholar
Raju, K.S., Lee, E.S., Biere, A.W., and Kanemasu, E.R.. “Irrigation Scheduling Based on a Dynamic Crop Response Model.” Advances in Irrigation 2(1980):255–272.Google Scholar
Richards, T.J., Manfredo, M.R., and Sanders, D.R.. “Pricing Weather Derivatives.” American Journal of Agricultural Economics 86(2004):1005–17.Google Scholar
Schnitkey, G.D., Sherrick, B.J., and Irwin, S.H.. “Evaluation of Risk Reductions Associated with Multi-Peril Crop Insurance Products.” Agricultural Finance Review 63(Spring 2003):1–21.CrossRefGoogle Scholar
Skees, J.R., Gober, S., Varangis, P., Lester, R., Kalavakonda, V., and Kumako, K.. “Developing Rainfall-Based Index Insurance in Morocco.” World Bank Policy Research Working Paper, 2001.Google Scholar
Turvey, C.G. “Weather Derivatives for Specific Event Risks in Agriculture.” Review of Agricultural Economics 23(2001):333–52.CrossRefGoogle Scholar
Varangis, P., Skees, J., and Barnett, B.. “Weather Indexes for Developing Countries.” Climate Risk and the Weather Market: Financial Risk Management with Weather Hedges, Dischel, R.S. ed., p. 279–94. London: Risk Books, 2002.Google Scholar
Vedenov, D.V., and Barnett, B.J.. “Efficiency of Weather Derivatives for Agricultural Risk Management.” Journal of Agricultural and Resource Economics 29(2004):387–403.Google Scholar
Zavaleta, L.R., Lacewell, R.D., and Taylor, C.R.. “Open-Loop Stochastic Control of Grain Sorghum Irrigation Levels and Timing.” American Journal of Agricultural Economics 62(1980):785–92.Google Scholar