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气候风险保险建模的现状与未来。

The state of the art and future of climate risk insurance modeling.

机构信息

Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Department of Flood Risk Management, Deltares, Delft, The Netherlands.

出版信息

Ann N Y Acad Sci. 2024 Nov;1541(1):100-114. doi: 10.1111/nyas.15255. Epub 2024 Nov 12.

DOI:10.1111/nyas.15255
PMID:39531401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11580769/
Abstract

This study provides a comprehensive review of the literature on climate risk insurance modeling to identify lessons learned and knowledge gaps to be addressed by future research. These models are increasingly relevant due to the rising losses attributable to climate change. Insurance models estimate risk for different perils and simulate risk-related parameters for insurance schemes, such as premiums and deductibles. Most forward-looking models indicate that climate change and socioeconomic developments highly exacerbate future risk and increase insurance premiums. Various studies recommend charging risk-based premiums to incentivize adaptation efforts that limit this increase in climate risks. Other findings point toward introducing public-private insurance to cope with climate change and enhance risk spreading by introducing insurance purchase requirements or insurance products that cover multiple climate risks. Gaps that we identify in this literature include an underrepresentation of insurance assessments for developing countries and for hazards other than flooding. Additionally, we note a lack of research into insurance for non-agricultural commercial sectors. Furthermore, less than half of the studies take a forward-looking approach by incorporating climate change scenarios, and an even smaller percentage consider socioeconomic development scenarios. This limitation shows that current methods require additional development for assessing the effects of future climate risk on insurance. We recommend that future research develops such forward-looking models, considers using a more refined spatial scale, broadens geographical and hazard coverage, and includes the commercial sector.

摘要

本研究对气候风险保险建模的文献进行了全面回顾,以确定未来研究需要解决的经验教训和知识空白。由于气候变化导致的损失不断增加,这些模型变得越来越重要。保险模型估计不同灾害的风险,并为保险计划模拟与风险相关的参数,例如保费和免赔额。大多数前瞻性模型表明,气候变化和社会经济发展极大地加剧了未来的风险,并增加了保险费。许多研究建议收取基于风险的保费,以激励适应努力,从而限制气候风险的增加。其他研究结果表明,引入公私合营保险来应对气候变化,并通过引入保险购买要求或涵盖多种气候风险的保险产品来增强风险分散。我们在文献中发现的差距包括对发展中国家和除洪水以外的其他灾害的保险评估代表性不足。此外,我们注意到对非农业商业部门保险的研究不足。此外,只有不到一半的研究采用前瞻性方法,纳入气候变化情景,甚至更少的研究考虑社会经济发展情景。这一局限性表明,当前的方法需要进一步开发,以评估未来气候风险对保险的影响。我们建议未来的研究开发这种前瞻性模型,考虑使用更精细的空间尺度,扩大地理和灾害覆盖范围,并纳入商业部门。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d0/11580769/0f1d7b48d02d/NYAS-1541-100-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d0/11580769/669a1de40eba/NYAS-1541-100-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d0/11580769/0f1d7b48d02d/NYAS-1541-100-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d0/11580769/669a1de40eba/NYAS-1541-100-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d0/11580769/0f1d7b48d02d/NYAS-1541-100-g002.jpg

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Eur Actuar J. 2023 May 10:1-49. doi: 10.1007/s13385-023-00349-1.
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An agent-based model for evaluating reforms of the National Flood Insurance Program: A benchmarked model applied to Jamaica Bay, NYC.用于评估国家洪水保险计划改革的基于主体的模型:应用于纽约市牙买加湾的基准模型。
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Risk-layering and optimal insurance uptake under ambiguity: With an application to farmers exposed to drought risk in Austria.模糊性下的风险分层与最优保险购买:以奥地利面临干旱风险的农民为例
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