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Farm-Level Risk Management Using Irrigation and Weather Derivatives

Author

Listed:
  • Lin, Shanshan
  • Mullen, Jeffrey D.
  • Hoogenboom, Gerrit

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.

Suggested Citation

  • Lin, Shanshan & Mullen, Jeffrey D. & Hoogenboom, Gerrit, 2008. "Farm-Level Risk Management Using Irrigation and Weather Derivatives," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(2), pages 485-492, August.
    • Handle: RePEc:cup:jagaec:v:40:y:2008:i:02:p:485-492_02
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    Citations

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    Cited by:

    1. 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.
    2. Barham, E. Hart Bise & Robinson, John R.C. & Richardson, James W. & Rister, M. Edward, 2011. "Mitigating Cotton Revenue Risk Through Irrigation, Insurance, and Hedging," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(4), pages 529-540, November.
    3. Kemeze, Francis Hypolite, 2018. "The Impact of Agricultural Insurance on the Demand for Supplemental Irrigation: A Randomized Controlled Trial Experimental Evidence in Northern Ghana," Monographs: Applied Economics, AgEcon Search, number 302442.
    4. Brandon Schaufele & James R. Unterschultz & Tomas Nilsson, 2010. "AgriStability with Catastrophic Price Risk for Cow‐Calf Producers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(3), pages 361-380, September.
    5. Finger, Robert, 2012. "Modeling the sensitivity of agricultural water use to price variability and climate change—An application to Swiss maize production," Agricultural Water Management, Elsevier, vol. 109(C), pages 135-143.

    More about this item

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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