Evidence map›Paper›PMID 39531401›Full record

ReviewAnnals of the New York Academy of Sciences2024

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

Michiel W Ingels, W J Wouter Botzen, Jeroen C J H Aerts, Jan Brusselaers, Max Tesselaar

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The state of the art and future of climate risk insurance modeling.Annals of the New York Academy of Sciences · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michiel W IngelsInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0009-0008-7028-3858
W J Wouter BotzenInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jeroen C J H AertsInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jan BrusselaersInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Max TesselaarInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

ERC COASTMOVE 8888442ERC INSUREADAPT 101086783EU ACCREU 101081358EU CLIMAAX 101093864EU PIISA 101112841
6 · The paper itself

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.

Indexed as

Climate ChangeHumansInsuranceModels, TheoreticalRisk Assessmentactuarial modelscatastrophe modelsclimate changeinsurancenatural disaster risk

Identifiers

PMID39531401
PMCPMC11580769

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.