IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v40y2008i02p485-492_02.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800023774/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Schnitkey, Gary D. & Sherrick, Bruce J. & Irwin, Scott H., 2002. "Evaluation of Risk Reductions Associated with Multi-Peril Crop Insurance Products," 2002 Regional Committee NC-221, October 7-8, 2002, Denver, Colorado 132375, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    2. Richards, Timothy J. & Manfredo, Mark R. & Sanders, Dwight R., 2004. "Pricing Weather Derivatives," Working Papers 28536, Arizona State University, Morrison School of Agribusiness and Resource Management.
    3. Harris, Thomas R. & Mapp, Harry P., Jr., 1980. "A Control Theory Approach To Optimal Irrigation Scheduling In The Oklahoma Panhandle," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 12(1), pages 1-7, July.
    4. Escalante, Cesar L. & Rejesus, Roderick M., 2005. "Farmland Control Decisions under Different Intertemporal Risk Behavioral Constructs," 2005 Annual meeting, July 24-27, Providence, RI 19113, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Harris, Thomas R. & Mapp, Harry p. Jr., 1980. "Qptimal Scheduling Of Irrigation By Control Theory: Oklahoma Panhandle," 1980 Annual Meeting, July 27-30, Urbana-Champaign, Illinois 278992, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Dwight R. Sanders, 2004. "Pricing Weather Derivatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1005-1017.
    7. Mario Miranda & Dmitry V. Vedenov, 2001. "Innovations in Agricultural and Natural Disaster Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 650-655.
    8. Olivier Mahul, 2001. "Optimal Insurance Against Climatic Experience," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 593-604.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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, Southern Agricultural Economics Association, vol. 43(4), pages 1-12, November.
    2. 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.
    3. 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.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Shanshan & Mullen, Jeffrey D. & Hoogenboom, Gerrit, 2009. "Spatial and Temporal On-Farm Risk Management - Crop Production Scheduling and Index Insurance Strategies," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49350, Agricultural and Applied Economics Association.
    2. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
    3. Boyle, Colin F.H. & Haas, Jannik & Kern, Jordan D., 2021. "Development of an irradiance-based weather derivative to hedge cloud risk for solar energy systems," Renewable Energy, Elsevier, vol. 164(C), pages 1230-1243.
    4. Zhang, Li, 2008. "Three essays on agricultural risk and insurance," ISU General Staff Papers 2008010108000016857, Iowa State University, Department of Economics.
    5. Marcos Gallacher & Daniel Lema & Laura Gastaldi & Alejandro Galetto, 2016. "Climate variability and agricultural production in argentina: the role of risk-transfer mechanisms," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 2(4), pages 11-38, Octubre.
    6. Denis Nadolnyak & Valentina Hartarska, 2012. "Agricultural disaster payments in the southeastern US: do weather and climate variability matter?," Applied Economics, Taylor & Francis Journals, vol. 44(33), pages 4331-4342, November.
    7. Ahmet Göncü, 2013. "Comparison of temperature models using heating and cooling degree days futures," Journal of Risk Finance, Emerald Group Publishing, vol. 14(2), pages 159-178, February.
    8. Rui Zhou & Johnny Siu-Hang Li & Jeffrey Pai, 2019. "Pricing temperature derivatives with a filtered historical simulation approach," The European Journal of Finance, Taylor & Francis Journals, vol. 25(15), pages 1462-1484, October.
    9. Bertrand, Jean-Louis & Brusset, Xavier & Fortin, Maxime, 2015. "Assessing and hedging the cost of unseasonal weather: Case of the apparel sector," European Journal of Operational Research, Elsevier, vol. 244(1), pages 261-276.
    10. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Hedging von Mengenrisiken in der Landwirtschaft – Wie teuer dürfen „ineffektive“ Wetterderivate sein?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(05), pages 1-12.
    11. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    12. Holly Wang, H. & Karuaihe, Raphael N. & Young, Douglas L. & Zhang, Yuehua, 2013. "Farmers’ demand for weather-based crop insurance contracts: the case of maize in south africa," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 52(1), March.
    13. Dillon, Carl R. & Mjelde, James W. & McCarl, Bruce A., 1989. "Comments On Development And Use Of Biophysical Simulation Models," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270723, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. L. Kermiche & N. Vuillermet, 2016. "Weather derivatives structuring and pricing: a sustainable agricultural approach in Africa," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 165-177, January.
    15. Helene Hamisultane, 2010. "Utility-based pricing of weather derivatives," The European Journal of Finance, Taylor & Francis Journals, vol. 16(6), pages 503-525.
    16. Osman Gulseven & Kasirga Yildirak, 2020. "Indemnity Payments in Agricultural Insurance: Risk Exposure of EU States," Papers 2003.05726, arXiv.org.
    17. Raimova, Gulnora, 2011. "Variance reduction methods at the pricing of weather options," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 21(1), pages 3-15.
    18. Andrew Grant & Steve Satchell, 2019. "Endogenous divorce risk and investment," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 845-876, July.
    19. Quaas, Martin F. & Baumgärtner, Stefan, 2008. "Natural vs. financial insurance in the management of public-good ecosystems," Ecological Economics, Elsevier, vol. 65(2), pages 397-406, April.
    20. Markus Stowasser, 2011. "Modelling rain risk: a multi-order Markov chain model approach," Journal of Risk Finance, Emerald Group Publishing, vol. 13(1), pages 45-60, December.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:jagaec:v:40:y:2008:i:02:p:485-492_02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.