IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v60y2012i2p311-320.html
   My bibliography  Save this article

Assessment of rice yield loss due to torrential rain: a case study of Yuhang County, Zhejiang Province, China

Author

Listed:
  • Weiping Lou
  • Lihong Wu
  • Haiyan Chen
  • Zongwei Ji
  • Yongfei Sun

Abstract

This study adopts a loss assessment and indemnity approach for rice crops at risk of flooding in Yuhang County, Zhejiang Province. Employing a hydrological model for simulating floods and a reduction model for predicting rice yield, the relationship between the rate of reduction in the rice yield and precipitation is discussed. We argue that the yield reduction rate can be assessed according to the amount of precipitation and designed a weather-based indemnity index for agricultural insurance purposes in Zhejiang Province. With geographic information system technology, the yield reduction rate and weather-based indemnity index were refined and found to effectively reduce the shortcomings of traditional agricultural insurance, i.e., moral hazard, large error in assessing disaster loss and high basis risk. The validity of the method was verified by the amount of rice lost due to No. 16 typhoon Krosa in 2007, and the results show that the proposed method can well simulate the reduction rate of rice yield according to precipitation data. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Weiping Lou & Lihong Wu & Haiyan Chen & Zongwei Ji & Yongfei Sun, 2012. "Assessment of rice yield loss due to torrential rain: a case study of Yuhang County, Zhejiang Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(2), pages 311-320, January.
    • Handle: RePEc:spr:nathaz:v:60:y:2012:i:2:p:311-320
    DOI: 10.1007/s11069-011-0013-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-011-0013-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-011-0013-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Coble, Keith H. & Hanson, Terry & Miller, J. Corey & Shaik, Saleem, 2003. "Agricultural Insurance as an Environmental Policy Tool," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(2), pages 391-405, August.
    2. Joseph W. Glauber, 2004. "Crop Insurance Reconsidered," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1179-1195.
    3. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    4. Kotera, Akihiko & Nawata, Eiji, 2007. "Role of plant height in the submergence tolerance of rice: A simulation analysis using an empirical model," Agricultural Water Management, Elsevier, vol. 89(1-2), pages 49-58, April.
    Full references (including those not matched with items on IDEAS)

    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. Yi, Jing & Richardson, James & Bryant, Henry, 2016. "How Do Premium Subsidies Affect Crop Insurance Demand at Different Coverage Levels: the Case of Corn," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236249, Agricultural and Applied Economics Association.
    2. Aditya Kusuma & Bethanna Jackson & Ilan Noy, 2018. "A viable and cost-effective weather index insurance for rice in Indonesia," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(2), pages 186-218, September.
    3. Chen, Shu-Ling & Miranda, Mario J., 2006. "Modeling Yield Distribution In High Risk Counties: Application To Texas Upland Cotton," 2006 Annual meeting, July 23-26, Long Beach, CA 21392, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2012. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward-Trending Yields," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-10, December.
    5. Miao, Ruiqing & Hennessy, David A. & Feng, Hongli, 2016. "The Effects of Crop Insurance Subsidies and Sodsaver on Land-Use Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    6. Bougherara, Douadia & Piet, Laurent, 2014. "The Impact of Farmers’ Risk Preferences on the Design of an Individual Yield Crop Insurance," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183082, European Association of Agricultural Economists.
    7. Glauber, Joseph W. & Effland, Anne, 2016. "United States agricultural policy: Its evolution and impact:," IFPRI discussion papers 1543, International Food Policy Research Institute (IFPRI).
    8. Anderson, John D. & Barnett, Barry J. & Coble, Keith H., 2008. "Impacts of a Standing Disaster Payment Program on U.S. Crop Insurance," 108th Seminar, February 8-9, 2008, Warsaw, Poland 48102, European Association of Agricultural Economists.
    9. Ramirez, Octavio A. & Carpio, Carlos E. & Rejesus, Roderick M., 2011. "Can Crop Insurance Premiums Be Reliably Estimated?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), pages 1-14, April.
    10. Olen, Beau & Wu, Junjie, 2013. "Supply of Insurance for Specialty Crops and its Effect on Yield and Acreage," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150787, Agricultural and Applied Economics Association.
    11. Lefebvre, Marianne & Midler, Estelle & Bontems, Philippe, 2020. "Adoption of environmentally-friendly agricultural practices with background risk: experimental evidence," TSE Working Papers 20-1079, Toulouse School of Economics (TSE).
    12. Erich Seamon & Paul E. Gessler & John T. Abatzoglou & Philip W. Mote & Stephen S. Lee, 2023. "Climatic Damage Cause Variations of Agricultural Insurance Loss for the Pacific Northwest Region of the United States," Agriculture, MDPI, vol. 13(12), pages 1-13, November.
    13. Chaffin, Ben, 2009. "Crop Yield and Revenue Insurance: Choosing Between Policies That Trigger On Farm vs. County Indexes," Graduate Research Master's Degree Plan B Papers 48303, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    14. Keith H. Coble & Robert Dismukes & Joseph W. Glauber, 2007. "Private Crop Insurers and the Reinsurance Fund Allocation Decision," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 582-595.
    15. Malik, Ravinder Paul Singh & Amarnath, Giriraj, 2021. "Economics of Index-based Flood Insurance (IBFI)," IWMI Water Policy Briefings 316618, International Water Management Institute.
    16. Jim Teal & Andrew W. Stevens, 2024. "Race and premium misrating in the U.S. Federal Crop Insurance Program," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 169-188, March.
    17. Wallander, Steven & Aillery, Marcel & Hellerstein, Daniel & Hand, Michael S., 2013. "The Role of Conservation Programs in Drought Risk Adaptation," Economic Research Report 262224, United States Department of Agriculture, Economic Research Service.
    18. Malik, Ravinder Paul Singh & Amarnath, Giriraj, 2021. "Economics of Index-based Flood Insurance (IBFI): scenario analysis and stakeholder perspectives from South Asia," IWMI Working Papers H050736, International Water Management Institute.
    19. Marianne Lefebvre & Estelle Midler & Philippe Bontems, 2020. "Adoption of Environment-Friendly Agricultural Practices with Background Risk: Experimental Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 405-428, July.
    20. Vasco Molini & Michiel Keyzer & Bart van den Boom & Wouter Zant & Nicholas Nsowah-Nuamah, 2010. "Safety Nets and Index-Based Insurance: Historical Assessment and Semiparametric Simulation for Northern Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 58(4), pages 671-712, July.

    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:spr:nathaz:v:60:y:2012:i:2:p:311-320. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.