Literature DB >> 18419658

Insurance against climate change and flooding in the Netherlands: present, future, and comparison with other countries.

W J W Botzen1, J C J M van den Bergh.   

Abstract

Climate change is projected to cause severe economic losses, which has the potential to affect the insurance sector and public compensation schemes considerably. This article discusses the role insurance can play in adapting to climate change impacts. The particular focus is on the Dutch insurance sector, in view of the Netherlands being extremely vulnerable to climate change impacts. The usefulness of private insurance as an adaptation instrument to increased flood risks is examined, which is currently unavailable in the Netherlands. It is questioned whether the currently dominant role of the Dutch government in providing damage relief is justified from an economic efficiency perspective. Characteristics of flood insurance arrangements in the Netherlands, the United Kingdom, Germany, and France are compared in order to identify possible future directions for arrangements in the Netherlands. It is argued that social welfare improves when insurance companies take responsibility for part of the risks associated with climate change.

Mesh:

Year:  2008        PMID: 18419658     DOI: 10.1111/j.1539-6924.2008.01035.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  5 in total

1.  Preparation of a flood-risk environmental index: case study of eight townships in Changhua County, Taiwan.

Authors:  Szu-Hsien Peng
Journal:  Environ Monit Assess       Date:  2018-02-26       Impact factor: 2.513

2.  On the need for a new generation of coastal change models for the 21st century.

Authors:  Roshanka Ranasinghe
Journal:  Sci Rep       Date:  2020-02-06       Impact factor: 4.379

3.  A Blueprint for Full Collective Flood Risk Estimation: Demonstration for European River Flooding.

Authors:  Francesco Serinaldi; Chris G Kilsby
Journal:  Risk Anal       Date:  2016-12-29       Impact factor: 4.000

4.  Determinants of Probability Neglect and Risk Attitudes for Disaster Risk: An Online Experimental Study of Flood Insurance Demand among Homeowners.

Authors:  Peter John Robinson; W J Wouter Botzen
Journal:  Risk Anal       Date:  2019-06-27       Impact factor: 4.000

5.  A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims.

Authors:  Ida Scheel; Egil Ferkingstad; Arnoldo Frigessi; Ola Haug; Mikkel Hinnerichsen; Elisabeth Meze-Hausken
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2013-01       Impact factor: 1.864

  5 in total

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