Strengthening insurance partnerships in the face of climate change - Insights from an agent-based model of flood insurance in the UK

被引:23
|
作者
Crick, Florence [1 ]
Jenkins, Katie [2 ]
Surminski, Swenja [1 ]
机构
[1] London Sch Econ & Social Sci, Grantham Res Inst Climate Change & Environm, Houghton St, London WC2A 2AE, England
[2] Univ Oxford, Ctr Environm, Environm Change Inst, S Parks Rd, Oxford OX1 3QY, England
基金
英国经济与社会研究理事会;
关键词
Partnerships; Insurance; Climate change; Surface water flood risk; RISK; STRATEGIES; MANAGEMENT;
D O I
10.1016/j.scitotenv.2018.04.239
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Multisectoral partnerships are increasingly cited as a mechanism to deliver and improve disaster risk management. Yet, partnerships are not a panacea and more research is required to understand the role that they can play in disaster risk management and particularly disaster risk reduction. This paper investigates how partnerships can incentivise flood risk reduction by focusing on the UK public-private partnership on flood insurance. Developing the right flood insurance arrangements to incentivise flood risk reduction and adaptation to climate change is a key challenge. In the face of rising flood risks due to climate change and socio-economic development insurance partnerships can no longer afford to focus only on the risk transfer function. However, while expectations of the insurance industry have traditionally been high when it comes to flood risk management, the insurance industry alone will not provide the solution to the challenge of rising risks. The case of flood insurance in the UK illustrates this: even national government and industry together cannot fully address these risks and other actors need to be involved to create strong incentives for risk reduction. Using an agent-based model focused on surface water flood risk in London we analyse how other partners could strengthen the insurance partnership by reducing flood risk and thus helping to maintain affordable insurance premiums. Our findings are relevant for wider discussions on the potential of insurance schemes to incentivise flood risk management and climate adaptation in the UK and also internationally. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:192 / 204
页数:13
相关论文
共 50 条
  • [1] An Agent-Based Model of Flood Risk and Insurance
    Dubbelboer, Jan
    Nikolic, Igor
    Jenkins, Katie
    Hall, Jim
    [J]. JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2017, 20 (01):
  • [2] An Agent-Based Model of Motor Insurance Customer Behaviour in the UK with Word of Mouth
    England, Rei
    Owadally, Iqbal
    Wright, Douglas
    [J]. JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2022, 25 (02):
  • [3] Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model
    Fuentes, Rolando
    Sengupta, Abhijit
    [J]. ENERGY POLICY, 2020, 139
  • [4] Capitalization of Flood Insurance and Risk Perceptions in Housing Prices: An Empirical Agent-Based Model Approach
    de Koning, Koen
    Filatova, Tatiana
    Bin, Okmyung
    [J]. SOUTHERN ECONOMIC JOURNAL, 2019, 85 (04) : 1159 - 1179
  • [5] Assessing surface water flood risk and management strategies under future climate change: Insights from an Agent-Based Model
    Jenkins, K.
    Surminski, S.
    Hall, J.
    Crick, F.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 595 : 159 - 168
  • [6] AN AGENT-BASED COMPUTATIONAL MODEL OF THE INDIVIDUAL HEALTH INSURANCE MARKET
    Comer, Kevin T.
    [J]. 2018 WINTER SIMULATION CONFERENCE (WSC), 2018, : 989 - 1000
  • [7] Accessing Insurance Flood Losses Using a Catastrophe Model and Climate Change Scenarios
    Palan, Ladislav
    Matyas, Michal
    Valkova, Monika
    Kovacka, Vit
    Pazourkova, Eva
    Puncochar, Petr
    [J]. CLIMATE, 2022, 10 (05)
  • [8] An agent-based model for evaluating reforms of the National Flood Insurance Program: A benchmarked model applied to Jamaica Bay, NYC
    de Ruig, Lars Tjitze
    Haer, Toon
    de Moel, Hans
    Orton, Philip
    Botzen, W. J. Wouter
    Aerts, Jeroen C. J. H.
    [J]. RISK ANALYSIS, 2023, 43 (02) : 405 - 422
  • [9] An Agent-based Model of the Earth System & Climate Change
    Baghoussi, Yassine
    Campos, Pedro J. R. M.
    Rossetti, Rosaldo J. F.
    [J]. IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016), 2016, : 319 - 324
  • [10] Adaptation to Climate Change and Insurance Mechanism: A Feasible Proposal Based on a Catastrophe Insurance Model for Taiwan
    Wang, Hsin-Chun
    [J]. NATIONAL TAIWAN UNIVERSITY LAW REVIEW, 2014, 9 (02): : 317 - 343