IDEAS home Printed from https://ideas.repec.org/p/zbw/tuddps/0116.html
   My bibliography  Save this paper

The impact of trust, risk and disaster exposure on microinsurance demand: Results of a DCE analysis in Cambodia

Author

Listed:
  • Fiala, Oliver
  • Wende, Danny

Abstract

Natural disasters are increasing in frequency and intensity and have devastating impacts on individuals, both humanitarian and economic, particularly in developing countries. Microinsurance is seen as one promising instrument of disaster risk management, however the level of demand for respective projects remains low. Using behavioural games and a discrete choice experiment, this paper analyses the demand for hypothetical microinsurance products in rural Cambodia and contributes significant household level evidence to the current research. A general preference for microinsurance can be found, with demand significantly affected by price, provider, requirements for prevention and combinations with credit. Furthermore, financial literacy, risk aversion, levels of trust and previous disaster experience impact the individual demand for flood insurance in rural Cambodia.

Suggested Citation

  • Fiala, Oliver & Wende, Danny, 2016. "The impact of trust, risk and disaster exposure on microinsurance demand: Results of a DCE analysis in Cambodia," Dresden Discussion Paper Series in Economics 01/16, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    • Handle: RePEc:zbw:tuddps:0116
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/144881/1/864311818.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kousky, Carolyn & Michel-Kerjan, Erwann O. & Raschky, Paul A., 2018. "Does federal disaster assistance crowd out flood insurance?," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 150-164.
    2. Gin, Xavier & Yang, Dean, 2009. "Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi," Journal of Development Economics, Elsevier, vol. 89(1), pages 1-11, May.
    3. Juan Camilo Cardenas & Jeffrey Carpenter, 2008. "Behavioural Development Economics: Lessons from Field Labs in the Developing World," Journal of Development Studies, Taylor & Francis Journals, vol. 44(3), pages 311-338.
    4. Surminski, Swenja & Oramas-Dorta, Delioma, 2011. "Building effective and sustainable risk transfer initiatives in low- and middle-income economies: what can we learn from existing insurance schemes?," LSE Research Online Documents on Economics 46401, London School of Economics and Political Science, LSE Library.
    5. Paul A. Raschky & Manijeh Schwindt, 2016. "Aid, Catastrophes and the Samaritan's Dilemma," Economica, London School of Economics and Political Science, vol. 83(332), pages 624-645, October.
    6. Xavier Giné & Robert Townsend & James Vickery, 2008. "Patterns of Rainfall Insurance Participation in Rural India," The World Bank Economic Review, World Bank, vol. 22(3), pages 539-566, October.
    7. Lena Giesbert & Susan Steiner & Mirko Bendig, 2011. "Participation in Micro Life Insurance and the Use of Other Financial Services in Ghana," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 7-35, March.
    8. Martin Eling & Shailee Pradhan & Joan T Schmit, 2014. "The Determinants of Microinsurance Demand," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 224-263, April.
    9. Paul Raschky & Reimund Schwarze & Manijeh Schwindt & Ferdinand Zahn, 2013. "Uncertainty of Governmental Relief and the Crowding out of Flood Insurance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 179-200, February.
    10. Stefan Dercon, 2002. "Income Risk, Coping Strategies, and Safety Nets," The World Bank Research Observer, World Bank, vol. 17(2), pages 141-166, September.
    11. World Bank, 2014. "World Development Indicators 2014," World Bank Publications - Books, The World Bank Group, number 18237, December.
    12. Oscar Joseph Akotey & Kofi A. Osei & Albert Gemegah, 2011. "The demand for micro insurance in Ghana," Journal of Risk Finance, Emerald Group Publishing, vol. 12(3), pages 182-194, May.
    13. Mobarak, A. Mushfiq & Rosenzweig, Mark R., 2012. "Selling formal Insurance to the Informally Insured," Center Discussion Papers 121671, Yale University, Economic Growth Center.
    14. Schechter, Laura, 2007. "Traditional trust measurement and the risk confound: An experiment in rural Paraguay," Journal of Economic Behavior & Organization, Elsevier, vol. 62(2), pages 272-292, February.
    15. Galarza, Francisco B. & Carter, Michael R., 2010. "Risk Preferences and Demand for Insurance in Peru: A Field Experiment," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61871, Agricultural and Applied Economics Association.
    16. Matthew Jowett, 2003. "Do informal risk sharing networks crowd out public voluntary health insurance? Evidence from Vietnam," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1153-1161.
    17. 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.
    18. Arnott, Richard & Stiglitz, Joseph E, 1991. "Moral Hazard and Nonmarket Institutions: Dysfunctional Crowding Out or Peer Monitoring?," American Economic Review, American Economic Association, vol. 81(1), pages 179-190, March.
    19. Joanne Linnerooth-Bayer & Stefan Hochrainer-Stigler, 2015. "Financial instruments for disaster risk management and climate change adaptation," Climatic Change, Springer, vol. 133(1), pages 85-100, November.
    20. Mahul, Olivier & Skees, Jerry, 2007. "Managing agricultural risk at the country level : the case of index-based livestock insurance in Mongolia," Policy Research Working Paper Series 4325, The World Bank.
    21. Christian Biener & Martin Eling, 2012. "Insurability in Microinsurance Markets: An Analysis of Problems and Potential Solutions," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(1), pages 77-107, January.
    22. Ginger Turner & Farah Said & Uzma Afzal, 2014. "Microinsurance Demand After a Rare Flood Event: Evidence From a Field Experiment in Pakistan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 201-223, April.
    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. Adloff, Susann & Rehdanz, Katrin, 2023. "Wait and see? Public preferences for the temporal effectiveness of coastal protection," Ecological Economics, Elsevier, vol. 204(PA).

    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. Platteau, Jean-Philippe & De Bock, Ombeline & Gelade, Wouter, 2017. "The Demand for Microinsurance: A Literature Review," World Development, Elsevier, vol. 94(C), pages 139-156.
    2. Martin Eling & Shailee Pradhan & Joan T Schmit, 2014. "The Determinants of Microinsurance Demand," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 224-263, April.
    3. Awel Y. & Azomahou T.T., 2015. "Risk preference or financial literacy? Behavioural experiment on index insurance demand," MERIT Working Papers 2015-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Glenn W. Harrison & Jia Min Ng, 2019. "Behavioral insurance and economic theory: A literature review," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 133-182, July.
    5. 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.
    6. Zulekha Ndurukia & Agnes W. Njeru & Esther Waiganjo, 2017. "Factors Influencing Demand for Micro Insurance Services in the Insurance Industry in Kenya," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(7), pages 232-259, July.
    7. Hanna Freudenreich & Marcela Ibanez & Stephan Dietrich & Oliver Musshoff, 2018. "Formal insurance, risk sharing, and the dynamics of other-regarding preferences," Department of Agricultural and Rural Development (DARE) Discussion Papers 266532, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    8. Ayako Matsuda & Takashi Kurosaki, 2017. "Temperature and Rainfall Index Insurance in India," OSIPP Discussion Paper 17E002, Osaka School of International Public Policy, Osaka University.
    9. Giesbert, Lena & Steiner, Susan, 2011. "Perceptions of (Micro)Insurance in Southern Ghana: The Role of Information and Peer Effects," GIGA Working Papers 183, GIGA German Institute of Global and Area Studies.
    10. Mohammed Ahmar Uddin, 2017. "Microinsurance in India: Insurance literacy and demand," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(2), pages 182-191, May.
    11. Veronika Bertram-Huemmer & Kati Kraehnert, 2018. "Does Index Insurance Help Households Recover from Disaster? Evidence from IBLI Mongolia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 145-171.
    12. Mukherjee, Subhankar & Pal, Parthapratim, 2019. "On Improving Awareness about Crop Insurance in India," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 9(1), July.
    13. Mirko Bendig & Thankom Arun, 2011. "Microfinancial Services And Risk Management: Evidences From Sri Lanka," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(4), pages 97-126, December.
    14. Isaac Akomea-Frimpong & Caleb Boadi & Roger Owusu-Boafo, 2021. "Determinants and challenges of supplying microlife insurance in Ghana," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 331-357, July.
    15. Goeschl, Timo & Managi, Shunsuke, 2017. "Public in-kind relief and private self-insurance," Working Papers 0633, University of Heidelberg, Department of Economics.
    16. Céline Grislain-Letrémy, 2018. "Natural Disasters: Exposure and Underinsurance," Annals of Economics and Statistics, GENES, issue 129, pages 53-83.
    17. 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.
    18. Uddin, Mohammed Ahmar, 2017. "Microinsurance in India: Insurance literacy and demand," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(2).
    19. Arun, Thankom & Bendig, Mirko & Arun, Shoba, 2012. "Bequest Motives and Determinants of Micro Life Insurance in Sri Lanka," World Development, Elsevier, vol. 40(8), pages 1700-1711.
    20. Timo Goeschl & Shunsuke Managi, 2019. "Public in-Kind Relief and Private Self-Insurance," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 3-21, April.

    More about this item

    Keywords

    microinsurance; trust; risk; discrete choice experiment; Cambodia;
    All these keywords.

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:zbw:tuddps:0116. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/pltudde.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.