IDEAS home Printed from https://ideas.repec.org/p/ags/aare17/258683.html
   My bibliography  Save this paper

Case study analysis on household attitudes towards weather index crop insurance in rural China

Author

Listed:
  • Zhang, Jing
  • Brown, Colin
  • Waldron, Scott

Abstract

The paper extends on the literature assessing China’s current “policy-oriented” agricultural insurance crop system to understand and to investigate the factors influencing the relative merits and potential demand for weather index crop insurance as a means for individual farmers in rural China to cope with weather-related production risks. Using the case of Huojia County in Henan Province, an empirical analysis is conducted of information collected from households’ survey and interviews with local village leaders. The key finding is that there is a significant potential demand for weather index crop insurance product as households seek time-efficient risk management strategies although this demand is influenced by generally poor awareness of insurance, small areas, and relatively low profitability of crop production.

Suggested Citation

  • Zhang, Jing & Brown, Colin & Waldron, Scott, 2017. "Case study analysis on household attitudes towards weather index crop insurance in rural China," 2017 Conference (61st), February 7-10, 2017, Brisbane, Australia 258683, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare17:258683
    DOI: 10.22004/ag.econ.258683
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/258683/files/Zhang%2C%20Jing%20-%20paper.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.258683?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
    ---><---

    References listed on IDEAS

    as
    1. Harold Alderman & Trina Haque, 2007. "Insurance Against Covariate Shocks : The Role of Index-Based Insurance in Social Protection in Low-Income Countries of Africa," World Bank Publications - Books, The World Bank Group, number 6736.
    2. Jerry R. Skees & Barry J. Barnett & Anne G. Murphy, 2008. "Creating insurance markets for natural disaster risk in lower income countries: the potential role for securitization," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 151-167, May.
    3. Nadolnyak, Denis A. & Vedenov, Dmitry V., 2010. "Designing Rainfall Insurance Contracts for Pasture, Rangeland, and Forage," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56511, Southern Agricultural Economics Association.
    4. Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
    5. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    6. Jerry R. Skees, 2008. "Challenges for use of index‐based weather insurance in lower income countries," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 197-217, May.
    7. Hans P. Binswanger-Mkhize, 2012. "Is There Too Much Hype about Index-based Agricultural Insurance?," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 187-200, February.
    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. Sommarat Chantarat, 2015. "Index-based Risk Financing and Development of Natural Disaster Insurance Programs in Developing Countries," PIER Discussion Papers 10, Puey Ungphakorn Institute for Economic Research.
    2. Sommarat Chantarat, 2015. "Index-based Risk Financing and Development of Natural Disaster Insurance Programs in Developing Countries," PIER Discussion Papers 10., Puey Ungphakorn Institute for Economic Research, revised Nov 2015.
    3. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    4. Leigh Johnson, 2013. "Index Insurance and the Articulation of Risk-Bearing Subjects," Environment and Planning A, , vol. 45(11), pages 2663-2681, November.
    5. 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.
    6. Daniel Stein, 2018. "Dynamics of Demand for Rainfall Index Insurance: Evidence from a Commercial Product in India," The World Bank Economic Review, World Bank, vol. 32(3), pages 692-708.
    7. Shih-Chieh Liao & Shih-Chieh Chang & Tsung-Chi Cheng, 2021. "Managing the Volatility Risk of Renewable Energy: Index Insurance for Offshore Wind Farms in Taiwan," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    8. Patrick S. Ward & David L. Ortega & David J. Spielman & Neha Kumar & Sumedha Minocha, 2020. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk," Economic Development and Cultural Change, University of Chicago Press, vol. 68(2), pages 607-653.
    9. Daron, Joseph D. & Stainforth, David A., 2014. "Assessing pricing assumptions for weather index insurance in a changing climate," LSE Research Online Documents on Economics 59154, London School of Economics and Political Science, LSE Library.
    10. Zhiwei Shen & Martin Odening, 2013. "Coping with systemic risk in index-based crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 1-13, January.
    11. Shih‐Chieh Liao & Shih‐Chieh Chang & Tsung‐Chi Cheng, 2022. "Index‐based renewable energy insurance for Taiwan Solar Photovoltaic Power Plants," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(2), pages 145-172, June.
    12. Joshua Munkombwe & Jackson Phiri & Enock Siankwilimba, 2022. "Financial Innovation among Smallholder Farmers: Enhancing the uptake of Weather Index Insurance through a Pragmatic Approach," Journal of Social Sciences Advancement, Science Impact Publishers, vol. 3(1), pages 01-19.
    13. Rigo, Roberta & Santos, Paulo & Frontuto, Vito, 2022. "Landscape heterogeneity, basis risk and the feasibility of index insurance: An analysis of rice in upland regions of Southeast Asia," Food Policy, Elsevier, vol. 108(C).
    14. Juárez-Torres, Miriam & Sánchez-Aragón, Leonardo & Vedenov, Dmitry, 2017. "Weather Derivatives and Water Management in Developing Countries: An Application for an Irrigation District in Central Mexico," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
    15. Doms, Juliane, 2017. "Put, call or strangle? About the challenges in designing weather index insurances to hedge performance risk in agriculture," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261990, German Association of Agricultural Economists (GEWISOLA).
    16. Antoine Leblois & Philippe Quirion & Benjamin Sultan, 2013. "Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon," Working Papers hal-00796528, HAL.
    17. Nathaniel Jensen & Christopher Barrett, 2017. "Agricultural Index Insurance for Development," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(2), pages 199-219.
    18. Xu, Wei & Odening, Martin & Musshoff, Oliver, 2008. "Optimal Design of Weather Bonds," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6781, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Wienand Kölle & Andrea Martínez Salgueiro & Matthias Buchholz & Oliver Musshoff, 2021. "Can satellite‐based weather index insurance improve the hedging of yield risk of perennial non‐irrigated olive trees in Spain?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 66-93, January.

    More about this item

    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; Risk and Uncertainty;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aare17:258683. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.html .

    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.