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Is there a demand for flood insurance in Vietnam? Results from a choice experiment

Author

Listed:
  • Arnaud Reynaud

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

  • Manh-Hung Nguyen
  • Cecile Aubert

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

Vietnam is one of the countries most affected by floods. Despite high exposure to this risk and repeated calls from international organizations, the penetration rate of flood insurance remains surprisingly low in Vietnam. We investigate if there is a demand for flood insurance by Vietnamese households using a choice experiment. We compute households' willingness to pay (WTP) for various flood insurance programs and we identify the relationships between WTP and the different attributes of insurance schemes (type of risk covered, level of coverage, insurance provider, billing frequency, insurance premium). We first show that Vietnamese households exhibit a strong preference for the status quo option (no insurance). We do, however, document significant and positive WTP for some flood insurance policies, especially those covering health expenses. We show that household trust in institutions providing flood insurance policies may help understand the currently low adoption rate. Finally, we stress the high degree of heterogeneity in household preferences for flood insurance policies: past experience with flooding, individual risk preferences and subjective flood risk perception matter to understand WTP for flood insurance. These results call for a very careful design of flood insurance mechanisms in Vietnam, and more generally in developing countries subject to high risks of natural disasters.

Suggested Citation

  • Arnaud Reynaud & Manh-Hung Nguyen & Cecile Aubert, 2018. "Is there a demand for flood insurance in Vietnam? Results from a choice experiment," Post-Print hal-03143253, HAL.
  • Handle: RePEc:hal:journl:hal-03143253
    DOI: 10.1007/s10018-017-0207-4
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    Cited by:

    1. 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.
    2. Guibril Zerbo & Olivier Renault, 2025. "Exploring the link between insurance behavior and trust in markets," EconomiX Working Papers 2025-44, University of Paris Nanterre, EconomiX.
    3. 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.
    4. Chloe H. Lucas & Kate I. Booth & Carolina Garcia, 2021. "Insuring homes against extreme weather events: a systematic review of the research," Climatic Change, Springer, vol. 165(3), pages 1-21, April.
    5. Arnaud Reynaud & Cécile Aubert, 2022. "Correction to: Does flood experience modify risk preferences? Evidence from an artefactual field experiment in Vietnam," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(2), pages 339-339, September.
    6. Thomas Dudek & Eric R. Ulm & Ilan Noy, 2021. "Demand for Multi-Year Catastrophe Insurance Contracts: Experimental Evidence for Mitigating the Insurance Gap," CESifo Working Paper Series 9442, CESifo.
    7. Simon Wagner & Sophie Thiam & Nadège I. P. Dossoumou & David Daou, 2024. "What Influences the Demand for a Potential Flood Insurance Product in an Area with Low Previous Exposure to Insurance? – A Case Study in the West African Lower Mono River Basin (LMRB)," Economics of Disasters and Climate Change, Springer, vol. 8(1), pages 1-32, March.
    8. Adloff, Susann & Rehdanz, Katrin, 2023. "Wait and see? Public preferences for the temporal effectiveness of coastal protection," Ecological Economics, Elsevier, vol. 204(PA).
    9. Vito Frontuto & Silvana Dalmazzone & Francesco Salcuni & Alessandro Pezzoli, 2020. "Risk Aversion, Inequality and Economic Evaluation of Flood Damages: A Case Study in Ecuador," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    10. Toledo-Gallegos, Valeria M. & My, Nguyen H.D. & Tuan, Tran Huu & Börger, Tobias, 2022. "Valuing ecosystem services and disservices of blue/green infrastructure. Evidence from a choice experiment in Vietnam," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 114-128.
    11. Nguyen, Manh-Hung & Nguyen, Thi Lan Anh & Nguyen, Tuan & Reynaud, Arnaud & Simioni, Michel & Hoang, Viet-Ngu, 2021. "Economic analysis of choices among differing measures to manage coastal erosion in Hoi An (a UNESCO World Heritage Site)," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 529-543.
    12. Bénédicte Rulleau, 2024. "Household preferences for cyber-attack resilient water distribution networks: A latent class analysis of a discrete choice experiment in France," Post-Print hal-04157111, HAL.
    13. Ruikun Peng & Yinyin Zhao & Ehsan Elahi & Benhong Peng, 2021. "Does disaster shocks affect farmers’ willingness for insurance? Mediating effect of risk perception and survey data from risk-prone areas in East 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. 106(3), pages 2883-2899, April.
    14. Serge Garcia & Katrin Erdlenbruch & Boniface Derrick Mbarga, 2024. "A discrete choice experiment to measure the impact of flood risk information on residential location choices [Une expérience de choix discrets pour mesurer l'impact de l'information sur les risques," Working Papers hal-04594157, HAL.
    15. 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).

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    Keywords

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    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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