IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i1d10.1007_s10668-021-01507-9.html
   My bibliography  Save this article

Will marketing strategies affect farmers’ preferences and willingness to pay for catastrophe insurance? Evidence from a choice experiment in China

Author

Listed:
  • Yingmei Tang

    (Nanjing Agricultural University)

  • Huifang Cai

    (Nanjing Agricultural University)

  • Rongmao Liu

    (Nanjing Agricultural University)

Abstract

The purpose of this research is to analyze the influence of marketing strategies on farmers’ catastrophe insurance preferences and willingness to pay (WTP) in rural areas in China. A choice experiment was conducted with 234 rural households in Jiangsu Province, China. A mixed logit model is used. The results show that marketing strategies significantly affect farmers’ preferences and willingness to pay for catastrophe insurance. Farmers prefer village cadres’ marketing, and their willingness to pay is 11.62 yuan/mu higher than that of insurance companies. In addition, the deductible rate has the greatest impact on farmers’ demand for catastrophe insurance and willingness to pay. When the deductible rate is increased, farmers’ willingness to pay is reduced. Farmers’ preferences are heterogeneous. Females, older farmers, families with fewer members, farmers who rarely pay attention to weather forecasts and have less knowledge of catastrophe insurance prefer village cadre marketing. In the promotion of catastrophe insurance, local government should cooperate with insurance companies.

Suggested Citation

  • Yingmei Tang & Huifang Cai & Rongmao Liu, 2022. "Will marketing strategies affect farmers’ preferences and willingness to pay for catastrophe insurance? Evidence from a choice experiment in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1376-1389, January.
  • Handle: RePEc:spr:endesu:v:24:y:2022:i:1:d:10.1007_s10668-021-01507-9
    DOI: 10.1007/s10668-021-01507-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01507-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-021-01507-9?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. Atreya, Ajita & Ferreira, Susana & Michel-Kerjan, Erwann, 2015. "What drives households to buy flood insurance? New evidence from Georgia," Ecological Economics, Elsevier, vol. 117(C), pages 153-161.
    2. Christian Gollier & Alexander Muermann, 2010. "Optimal Choice and Beliefs with Ex Ante Savoring and Ex Post Disappointment," Management Science, INFORMS, vol. 56(8), pages 1272-1284, August.
    3. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2008. "Trusting the Stock Market," Journal of Finance, American Finance Association, vol. 63(6), pages 2557-2600, December.
    4. Ming Wang & Chuan Liao & Saini Yang & Weiting Zhao & Min Liu & Peijun Shi, 2012. "Are People Willing to Buy Natural Disaster Insurance in China? Risk Awareness, Insurance Acceptance, and Willingness to Pay," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1717-1740, October.
    5. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    6. Shapira, Zur & Venezia, Itzhak, 2008. "On the preference for full-coverage policies: Why do people buy too much insurance?," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 747-761, November.
    7. 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.
    8. Browne, Mark J & Hoyt, Robert E, 2000. "The Demand for Flood Insurance: Empirical Evidence," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 291-306, May.
    9. Jason Abaluck & Abi Adams, 2017. "What do consumers consider before they choose? Identification from asymmetric demand responses," IFS Working Papers W17/09, Institute for Fiscal Studies.
    10. Christian Gollier, 2003. "To Insure or Not to Insure?: An Insurance Puzzle," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 28(1), pages 5-24, June.
    11. Jason Abaluck & Abi Adams, 2017. "What Do Consumers Consider Before They Choose? Identification from Asymmetric Demand Responses," NBER Working Papers 23566, National Bureau of Economic Research, Inc.
    12. Daniel Clarke & Sefan Dercon, 2009. "Insurance, Credit and Safety Nets for the Poor in a World of Risk," Working Papers 81, United Nations, Department of Economics and Social Affairs.
    13. Ruihua Yang, 2018. "Agricultural Insurance: Theory, Empirical Research and Experience – Based on Farmers Household Data," China Agricultural Economic Review, Emerald Group Publishing, vol. 10(1), pages 173-175, February.
    14. Carter, Michael R. & Lybbert, Travis J., 2012. "Consumption versus asset smoothing: testing the implications of poverty trap theory in Burkina Faso," Journal of Development Economics, Elsevier, vol. 99(2), pages 255-264.
    15. Randy E. Dumm & David L. Eckles & Charles Nyce & Jacqueline Volkman-Wise, 2020. "The representative heuristic and catastrophe-related risk behaviors," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 157-185, April.
    16. Arnaud Reynaud & Manh-Hung Nguyen & Cécile Aubert, 2018. "Is there a demand for flood insurance in Vietnam? Results from a choice experiment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 593-617, July.
    17. Takeshi Sakurai & Thomas Reardon, 1997. "Potential Demand for Drought Insurance in Burkina Faso and Its Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1193-1207.
    18. Dercon, Stefan & Hill, Ruth Vargas & Clarke, Daniel & Outes-Leon, Ingo & Seyoum Taffesse, Alemayehu, 2014. "Offering rainfall insurance to informal insurance groups: Evidence from a field experiment in Ethiopia," Journal of Development Economics, Elsevier, vol. 106(C), pages 132-143.
    19. Froot, Kenneth A., 2001. "The market for catastrophe risk: a clinical examination," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 529-571, May.
    20. Gharad Bryan, 2019. "Ambiguity Aversion Decreases the Impact of Partial Insurance: Evidence from African Farmers," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1428-1469.
    21. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    22. Guozhu Tuo, 2016. "How to promote agricultural insurance in China?," China Agricultural Economic Review, Emerald Group Publishing, vol. 8(2), pages 194-205, May.
    23. Richard T. Carson & Theodore Groves & John A. List, 2014. "Consequentiality: A Theoretical and Experimental Exploration of a Single Binary Choice," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 171-207.
    24. Cai, Jing & Song, Changcheng, 2017. "Do disaster experience and knowledge affect insurance take-up decisions?," Journal of Development Economics, Elsevier, vol. 124(C), pages 83-94.
    25. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    26. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
    27. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    28. Danny Campbell, 2007. "Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 467-483, September.
    29. Tao Ye & Ming Wang & Wuyang Hu & Yangbin Liu & Peijun Shi, 2017. "High liabilities or heavy subsidies," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 9(4), pages 588-606, November.
    30. Vitor A. Ozaki & Sujit K. Ghosh & Barry K. Goodwin & Ricardo Shirota, 2008. "Spatio-Temporal Modeling of Agricultural Yield Data with an Application to Pricing Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 951-961.
    31. Jacqueline Volkman-Wise, 2015. "Representativeness and managing catastrophe risk," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 267-290, December.
    32. Howard Kunreuther, 2006. "Disaster Mitigation and Insurance: Learning from Katrina," The ANNALS of the American Academy of Political and Social Science, , vol. 604(1), pages 208-227, March.
    33. Yuan feng Zhao & Zhihui Chai & Michael S Delgado & Paul V Preckel, 2016. "An empirical analysis of the effect of crop insurance on farmers’ income: results from Inner Mongolia in China," China Agricultural Economic Review, Emerald Group Publishing, vol. 8(2), pages 299-313, May.
    34. Brouwer, Roy & Tinh, Bui Duc & Tuan, Tran Huu & Magnussen, Kristin & Navrud, Ståle, 2014. "Modeling demand for catastrophic flood risk insurance in coastal zones in Vietnam using choice experiments," Environment and Development Economics, Cambridge University Press, vol. 19(2), pages 228-249, April.
    35. Sonia Akter & Roy Brouwer & Saria Choudhury & Salina Aziz, 2009. "Is there a commercially viable market for crop insurance in rural Bangladesh?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(3), pages 215-229, March.
    36. Daniel R. Petrolia & Craig E. Landry & Keith H. Coble, 2013. "Risk Preferences, Risk Perceptions, and Flood Insurance," Land Economics, University of Wisconsin Press, vol. 89(2), pages 227-245.
    37. Shinichi Kamiya & Noriyoshi Yanase, 2019. "Learning from extreme catastrophes," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 85-124, August.
    38. Chu-Shiu Li & Chwen-Chi Liu & Yuehua Zhang, 2017. "Determinants of agricultural household demand for insurance in China from 2004 to 2007," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 9(4), pages 660-667, November.
    39. Adriano A. Rampini & S. Viswanathan, 2010. "Collateral, Risk Management, and the Distribution of Debt Capacity," Journal of Finance, American Finance Association, vol. 65(6), pages 2293-2322, December.
    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. Qingxia Wang & Yim Soksophors & Angelica Barlis & Shahbaz Mushtaq & Khieng Phanna & Cornelis Swaans & Danny Rodulfo, 2022. "Willingness to Pay for Weather-Indexed Insurance: Evidence from Cambodian Rice Farmers," Sustainability, MDPI, vol. 14(21), pages 1-17, November.

    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. Arnaud Reynaud & Manh-Hung Nguyen & Cécile Aubert, 2018. "Is there a demand for flood insurance in Vietnam? Results from a choice experiment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 593-617, July.
    2. Stoeffler, Quentin & Opuz, Gülce, 2022. "Price, information and product quality: Explaining index insurance demand in Burkina Faso," Food Policy, Elsevier, vol. 108(C).
    3. Xiao Lin, 2020. "Risk awareness and adverse selection in catastrophe insurance: Evidence from California’s residential earthquake insurance market," Journal of Risk and Uncertainty, Springer, vol. 61(1), pages 43-65, August.
    4. Renuka Sane & Susan Thomas, 2020. "From Participation To Repurchase: Low Income Households And Micro‐insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 783-814, September.
    5. Quentin Stoeffler & Michael Carter & Catherine Guirkinger & Wouter Gelade, 2022. "The Spillover Impact of Index Insurance on Agricultural Investment by Cotton Farmers in Burkina Faso," The World Bank Economic Review, World Bank, vol. 36(1), pages 114-140.
    6. Ayako Matsuda & Takashi Kurosaki, 2017. "Temperature and Rainfall Index Insurance in India," OSIPP Discussion Paper 17E002, Osaka School of International Public Policy, Osaka University.
    7. Osberghaus, Daniel & Reif, Christiane, 2021. "How do different compensation schemes and loss experience affect insurance decisions? Experimental evidence from two independent and heterogeneous samples," Ecological Economics, Elsevier, vol. 187(C).
    8. Fluhrer, Svenja, 2023. "Crowding-in or crowding-out: The effect of humanitarian aid on households’ investments in climate adaptation," MPRA Paper 117975, University Library of Munich, Germany.
    9. Lu Fang & Lingxiao Li & Abdullah Yavas, 2023. "The Impact of Distant Hurricane on Local Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 66(2), pages 327-372, February.
    10. Dingde Xu & Enlai Liu & Xuxi Wang & Hong Tang & Shaoquan Liu, 2018. "Rural Households’ Livelihood Capital, Risk Perception, and Willingness to Purchase Earthquake Disaster Insurance: Evidence from Southwestern China," IJERPH, MDPI, vol. 15(7), pages 1-19, June.
    11. Jacqueline Volkman-Wise, 2015. "Representativeness and managing catastrophe risk," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 267-290, December.
    12. Céline Grislain-Letrémy, 2018. "Natural Disasters: Exposure and Underinsurance," Annals of Economics and Statistics, GENES, issue 129, pages 53-83.
    13. Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018. "How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya," Food Policy, Elsevier, vol. 74(C), pages 172-198.
    14. Guibril Zerbo, 2024. "Disposition à payer pour l’assurance contre les risques naturels: une étude de terrain au Burkina Faso," EconomiX Working Papers 2024-7, University of Paris Nanterre, EconomiX.
    15. Williams Ali & Awudu Abdulai & Ashok K. Mishra, 2020. "Recent Advances in the Analyses of Demand for Agricultural Insurance in Developing and Emerging Countries," Annual Review of Resource Economics, Annual Reviews, vol. 12(1), pages 411-430, October.
    16. Mogge, Lukas, 2023. "A District-Level Analysis of the Effect of Risk Exposure on the Demand for Index Insurance in Mongolia," Ruhr Economic Papers 1018, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    17. Mona Ahmadiani & Susana Ferreira & Craig E. Landry, 2019. "Flood Insurance and Risk Reduction: Market Penetration, Coverage, and Mitigation in Coastal North Carolina," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1058-1082, April.
    18. Ranjan Kumar Ghosh & Shweta Gupta & Vartika Singh & Patrick S. Ward, 2021. "Demand for Crop Insurance in Developing Countries: New Evidence from India," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 293-320, February.
    19. Million Tadesse & Bekele Shiferaw & Olaf Erenstein, 2015. "Weather index insurance for managing drought risk in smallholder agriculture: lessons and policy implications for sub-Saharan Africa," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-21, December.
    20. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).

    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:endesu:v:24:y:2022:i:1:d:10.1007_s10668-021-01507-9. 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.