How the USA can benefit from risk-based premiums combined with flood protection

Lars T. de Ruig*, Toon Haer, Hans de Moel, Samuel D. Brody, W. J.Wouter Botzen, Jeffrey Czajkowski, Jeroen C.J.H. Aerts

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Flood risk management in the USA is largely embedded in the National Flood Insurance Program (NFIP). Climate change and increasing exposure in flood plains pose a challenge to flood risk managers and make it vital to reduce risk in the future. The proposed reforms are steering the NFIP to risk-based premiums, but it is uncertain if the reforms will result in unaffordability and incentivize risk-reduction investments or how the NFIP is affected by large-scale adaptation efforts. Using an agent-based model approach for current and future scenarios, we demonstrate that risk-based premiums will yield a positive societal benefit (US$10 billion) because they will incentivize household risk-reduction investments. Moreover, our results show that proactive investment in large-scale adaptation measures complements a transition to risk-based premiums to yield a higher overall societal benefit (US$26 billion). We suggest that transitioning the NFIP to risk-based premiums can only be secured by additional investments in large-scale flood protection infrastructure.

Original languageEnglish
Pages (from-to)995-998
Number of pages4
JournalNature Climate Change
Volume12
Issue number11
Early online date24 Oct 2022
DOIs
Publication statusPublished - Nov 2022

Bibliographical note

Funding Information:
We would like to thank M. Montgomery for sharing data and M. Tesselaar for his feedback. This research received funding from the Netherlands Organization for Scientific Research VIDI (45214005 to W.J.W.B.) and VICI (016140067 and 453-13-006 to J.A.) grant programmes and ERC advanced grant (884442 to J.A.).

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Limited.

Funding

We would like to thank M. Montgomery for sharing data and M. Tesselaar for his feedback. This research received funding from the Netherlands Organization for Scientific Research VIDI (45214005 to W.J.W.B.) and VICI (016140067 and 453-13-006 to J.A.) grant programmes and ERC advanced grant (884442 to J.A.).

FundersFunder number
European Research Council
Horizon 2020 Framework Programme884442
Nederlandse Organisatie voor Wetenschappelijk Onderzoek45214005, 016140067, 453-13-006

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