IDEAS home Printed from https://ideas.repec.org/a/pal/gpprii/v47y2022i1d10.1057_s41288-021-00213-x.html
   My bibliography  Save this article

Model assessment of public–private partnership flood insurance systems: an empirical study of Japan

Author

Listed:
  • Jie Shao

    (Waseda University)

Abstract

The public–private partnership (or PPP) system is widely hailed as an effective approach to flood insurance. PPP effectiveness can be empirically demonstrated through an analytic framework based on model assessment, which we apply to Japan as an illustrative case study. We first introduce the widely-observed market failure phenomenon in the catastrophe insurance sector and how PPP systems may serve to avert this failure. We then proceed to select three candidate systems and model them respectively. Subsequently, we employ empirical data and Monte Carlo simulations to evaluate suitability for Japan’s case via three perspectives. The results identified the market-oriented system as the economically-optimal choice. It should be noted, however, that the assessment is dependent on the priorities of each party and market-negotiated results. We find this methodology to be suitable for identifying the most adequate PPP system and invite policymakers to consider its use when implementing their own systems.

Suggested Citation

  • Jie Shao, 2022. "Model assessment of public–private partnership flood insurance systems: an empirical study of Japan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 79-102, January.
  • Handle: RePEc:pal:gpprii:v:47:y:2022:i:1:d:10.1057_s41288-021-00213-x
    DOI: 10.1057/s41288-021-00213-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41288-021-00213-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41288-021-00213-x?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. Kunreuther, Howard & Hogarth, Robin & Meszaros, Jacqueline, 1993. "Insurer Ambiguity and Maarket Failure," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 71-87, August.
    2. 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.
    3. Swenja Surminski, 2018. "Fit for Purpose and Fit for the Future? An Evaluation of the UK's New Flood Reinsurance Pool," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(1), pages 33-72, March.
    4. Youbaraj Paudel, 2012. "A Comparative Study of Public—Private Catastrophe Insurance Systems: Lessons from Current Practices," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 257-285, April.
    5. Youbaraj Paudel & W J Wouter Botzen & Jeroen C J H Aerts, 2012. "A Comparative Study of Public–Private Catastrophe Insurance Systems: Lessons from Current Practices," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(3), pages 603-603, July.
    6. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2009. "Nondiversification Traps in Catastrophe Insurance Markets," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 959-993, March.
    7. Cummins, J. David & Doherty, Neil & Lo, Anita, 2002. "Can insurers pay for the "big one"? Measuring the capacity of the insurance market to respond to catastrophic losses," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 557-583, March.
    8. Rustam Ibragimov & Dwight Jaffee & Johan Walden, 2009. "Nondiversification Traps in Catastrophe Insurance Markets," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 959-993.
    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. Georges Dionne & Denise Desjardins, 2022. "A re‐examination of the US insurance market's capacity to pay catastrophe losses," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(4), pages 515-549, December.

    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. Carolyn Kousky & Howard Kunreuther, 2018. "Risk Management Roles of the Public and Private Sector," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(1), pages 181-204, March.
    2. Surminski, Swenja & Eldridge, Jillian, 2015. "Flood insurance in England: an assessment of the current and newly proposed insurance scheme in the context of rising flood risk," LSE Research Online Documents on Economics 66256, London School of Economics and Political Science, LSE Library.
    3. Swenja Surminski & Paul Hudson & Jeroen Aerts & Wouter Botzen & M.Conceição Colaço & Florence Crick & Jill Eldridge & Anna Lorant & António Macedo & Reinhard Mechler & Carlos Neto & Robin Nicolai & Di, 2015. "Novel and improved insurance instruments for risk reduction," GRI Working Papers 188, Grantham Research Institute on Climate Change and the Environment.
    4. Stylianos Perrakis & Ali Boloorforoosh, 2018. "Catastrophe futures and reinsurance contracts: An incomplete markets approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 104-128, January.
    5. Botzen, W.J. Wouter & de Boer, Joop & Terpstra, Teun, 2013. "Framing of risk and preferences for annual and multi-year flood insurance," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 357-375.
    6. Robinson, Peter John & Botzen, W. J. Wouter & Kunreuther, Howard & Chaudhry, Shereen J., 2021. "Default options and insurance demand," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 39-56.
    7. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2018. "The cross-section of expected stock returns in the property/liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 292-321.
    8. Noy, Ilan & Kusuma, Aditya & Nguyen, Cuong, 2017. "Insuring disasters: A survey of the economics of insurance programs for earthquakes and droughts," Working Paper Series 6408, Victoria University of Wellington, School of Economics and Finance.
    9. Amanda Savitt, 2017. "Insurance as a tool for hazard risk management? An evaluation of the literature," 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. 86(2), pages 583-599, March.
    10. Upreti, Vineet & Adams, Mike, 2015. "The strategic role of reinsurance in the United Kingdom’s (UK) non-life insurance market," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 206-219.
    11. Robert Hartwig & Greg Niehaus & Joseph Qiu, 2020. "Insurance for economic losses caused by pandemics," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 134-170, September.
    12. Subramanian, Ajay & Wang, Jinjing, 2021. "Capital, aggregate risk, insurance prices and regulation," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 156-192.
    13. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
    14. S. Surminski & J. Aerts & W. Botzen & P. Hudson & J. Mysiak & C. Pérez-Blanco, 2015. "Reflections on the current debate on how to link flood insurance and disaster risk reduction in the European Union," 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. 79(3), pages 1451-1479, December.
    15. Ben Ammar, Semir & Eling, Martin & Milidonis, Andreas, 2015. "Asset Pricing of Financial Insitutions: The Cross-Section of Expected Stock Returns in the Property/Liability Insurance Industry," Working Papers on Finance 1516, University of St. Gallen, School of Finance.
    16. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    17. Wang, Chen & Sun, Jiayi & Russell, Roddy & Daziano, Ricardo A., 2018. "Analyzing willingness to improve the resilience of New York City's transportation system," Transport Policy, Elsevier, vol. 69(C), pages 10-19.
    18. Michel-Kerjan Erwann & de Marcellis-Warin Nathalie, 2006. "Public-Private Programs for Covering Extreme Events: The Impact of Information Distribution on Risk-Sharing," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 1(2), pages 1-30, February.
    19. Thomas Holzheu & Ginger Turner, 2018. "The Natural Catastrophe Protection Gap: Measurement, Root Causes and Ways of Addressing Underinsurance for Extreme Events†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 37-71, January.
    20. Wu, Yang-Che, 2020. "Equilibrium in natural catastrophe insurance market under disaster-resistant technologies, financial innovations and government interventions," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 116-128.

    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:pal:gpprii:v:47:y:2022:i:1:d:10.1057_s41288-021-00213-x. 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.palgrave-journals.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.