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Journal articles on the topic 'Climate Risk Insurance'

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1

Michaels, Anthony, Ann Close, David Malmquist, and Anthony Knap. "Climate science and insurance risk." Nature 389, no. 6648 (1997): 225–27. http://dx.doi.org/10.1038/38378.

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2

Oladayo, Nathaniel Awojobi. "Climate Risk Insurance for Resilience: A Systematic Review." International Journal of Environmental & Agriculture Research 4, no. 2 (2018): 1–5. https://doi.org/10.5281/zenodo.1188074.

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<em>This study developed and conducted a systematic mixed-methods grey literature methodology to characterise and identify climate risk insurance initiative in building resilience in developing countries. The study found that climate risk insurance can help developing countries build resilience against extreme weather events. However, there are barriers to the initiative. This is because of the issue of lack of climate data instruments. The collaboration between the public and private sectors is one way to overcome the challenges of implementing climate risk insurance. This systematic review m
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Kong, Feng, and Shao Sun. "Better Understanding Insurance Mechanism in Dealing with Climate Change Risk, with Special Reference to China." International Journal of Environmental Research and Public Health 18, no. 6 (2021): 2996. http://dx.doi.org/10.3390/ijerph18062996.

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Climate change risk has become an important challenge for global sustainable development. The insurance industry can play an important role in coping with the increasingly severe climate change risk. This paper first describes the increasing climate change risk and the difficulties of the insurance mechanism in dealing with it. Then this paper summarizes the international practice of using the insurance mechanism to deal with climate change risk from ten different aspects. Based on the summary of the role of the insurance mechanism in dealing with this risk in developing countries, this paper
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4

Andersson, Lars Fredrik, and E. Carina H. Keskitalo. "Insurance models and climate risk assessments in a historical context." Financial History Review 23, no. 2 (2016): 219–43. http://dx.doi.org/10.1017/s096856501600010x.

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Adaptation to the consequences of climate change has developed into a growing field of concern for the insurance business. However, climate-related risk is not entirely a new field in insurance. Historically, a large number of insurance organisational choices and strategies have been used to mitigate the financial impact of extreme events and uncertainties associated with climate change. Taking the case of forests in Sweden, this article reviews the ways in which climate-related risks such as storm/wind and fire risks have been assured. The study shows that climate-related risks have generally
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SWAIN, MAMATA. "REDESIGNING CROP INSURANCE FOR COPING WITH CLIMATE CHANGE IN INDIA." INDIAN JOURNAL OF APPLIED ECONOMICS AND BUSINESS 5, no. 1 (2022): 107–28. http://dx.doi.org/10.47509/ijaeb.2023.v05i01.06.

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India being located in the low latitude region of the globe is extremely vulnerable to climate change due to its tropical climate, monsoon-based rainfall, long coast line, high dependence on agriculture and preponderance of small holders. Manifestations of climate change in India are steady increase in temperature, rise in rainfall variability, water stress, inundation of coastal areas, and increase in frequency and intensity of weather extremes such as drought, flood, cyclone and storm surge. This has enhanced agricultural risk and endangers rural livelihood and food security. Insurance is an
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Jarzabkowski, Paula, Katie Meissner, and Matthew Mason. "Insurance Options in a Climate Changed Future: The Way Forward for Urban Climate Policy and Practice." Journal of City Climate Policy and Economy 4, no. 1 (2025): 15–35. https://doi.org/10.3138/jccpe-2024-0029.

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Disaster insurance is central to how cities respond and adapt to climate change because insurance releases global capital to pay for local recovery and reconstruction in the aftermath of extreme weather disasters. Yet, rather than supporting climate adaptation, insurance markets appear to be retreating in the face of climate change, with many cities facing unaffordable and unavailable disaster insurance. Loss of insurance has devastating effects on cities, given its crucial role in social, business, and financial systems, providing a critical safety net for many, and supporting other important
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Xia, Chenlin. "Fusing multi-model climate risk assessment and insurance profitability prediction: a machine learning-based cross-country comparative analysis." Highlights in Business, Economics and Management 45 (December 24, 2024): 693–701. https://doi.org/10.54097/zwpzb031.

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Climate change-induced increases in the frequency and intensity of extreme weather events year after year pose a significant challenge to the profitability of the global insurance industry. Traditional risk assessment models have limitations in predicting insurance profitability due to the difficulty in coping with the nonlinearity and complexity of climate risk. To this end, this study proposes a multi-model fusion approach that combines fuzzy assessment models, entropy weighting, linear regression, and machine learning models (LightGBM &amp; XGBoost) to assess the impact of climate risk on t
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Luiz, Eva. "Assessment of Climate Change Risk on Insurance Portfolios." Journal of Actuarial Research 2, no. 1 (2024): 54–67. http://dx.doi.org/10.47941/jar.1760.

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Purpose: The general purpose of this study was to investigate the assessment of climate change risk on insurance portfolios.&#x0D; Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statist
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Xu, Ziheng, Houqing Fang, and Weidong Wang. "The Impact of Climate Risk on Insurers’ Sustainable Operational Efficiency: Empirical Evidence from China." Sustainability 17, no. 8 (2025): 3423. https://doi.org/10.3390/su17083423.

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The operational efficiency of insurance companies is crucial for their long-term stability and sustainable development. Climate risk has emerged as a significant factor affecting insurers’ operational performance in the context of global climate change and sustainable development goals. Although prior research provides a solid foundation, further exploration is needed to clarify how climate risk influences insurers’ efficiency and underlying mechanisms. This paper uses panel data from 248 Chinese insurance companies spanning 2011 to 2021 to construct a climate risk indicator and systematically
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Olusegun Gbenga Odunaiya, Chinwe Chinazo Okoye, Ekene Ezinwa Nwankwo, and Titilola Falaiye. "Climate risk assessment in insurance: A USA and Africa Review." International Journal of Science and Research Archive 11, no. 1 (2024): 2072–81. http://dx.doi.org/10.30574/ijsra.2024.11.1.0276.

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Climate risk assessment in insurance is a critical component of understanding and mitigating the impacts of climate change on the insurance industry. This paper provides a comprehensive review of climate risk assessment practices in the insurance sector, focusing on both the United States (USA) and Africa. The study explores the unique challenges and opportunities each region faces in the context of climate-related risks. In the USA, a mature and well-established insurance market grapples with the increasing frequency and severity of climate-related events. Hurricanes, wildfires, and floods ha
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Tesselaar, Max, W. J. Wouter Botzen, Toon Haer, Paul Hudson, Timothy Tiggeloven, and Jeroen C. J. H. Aerts. "Regional Inequalities in Flood Insurance Affordability and Uptake under Climate Change." Sustainability 12, no. 20 (2020): 8734. http://dx.doi.org/10.3390/su12208734.

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Flood insurance coverage can enhance financial resilience of households to changing flood risk caused by climate change. However, income inequalities imply that not all households can afford flood insurance. The uptake of flood insurance in voluntary markets may decline when flood risk increases as a result of climate change. This increase in flood risk may cause substantially higher risk-based insurance premiums, reduce the willingness to purchase flood insurance, and worsen problems with the unaffordability of coverage for low-income households. A socio-economic tipping-point can occur when
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Liu, Juan, Chunhua Men, Victor E. Cabrera, Stan Uryasev, and Clyde W. Fraisse. "Optimizing Crop Insurance under Climate Variability." Journal of Applied Meteorology and Climatology 47, no. 10 (2008): 2572–80. http://dx.doi.org/10.1175/2007jamc1490.1.

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Abstract This paper studies the selection of optimal crop insurance under climate variability and fluctuating market prices. A model was designed to minimize farmers’ expected losses (including insurance costs) while using the conditional-value-at-risk measure to acquire the risk-aversion level. The application of the model was illustrated by studying a farm with two crops (cotton and peanut) in Jackson County, Florida. The climate variability was caused by ENSO phenomenon. Crop-insurance contracts with minimized losses were 75% actual production history (APH) during El Niño and neutral years
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Oh, Sangmin S., Ishita Sen, and Ana-Maria Tenekedjieva. "Pricing of Climate Risk Insurance: Regulation and Cross-Subsidies." Finance and Economics Discussion Series 2022, no. 064 (2022): 1–93. http://dx.doi.org/10.17016/feds.2022.064.

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Homeowners’ insurance, a $15 trillion market by coverage, provides households financial protection from climate losses. Insurance premiums (rates) are subject to significant regulations at a state level in the United States. Using novel data on filings made by insurers to regulators, we propose a metric to quantify the extent of regulation in individual states. We provide evidence of decoupling of insurance rates from their underlying risks and identify regulation as a driving force behind this pattern. Rates are least reflective of risk in states we classify as "high friction", i.e. states wh
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Ji, Zhufangyuan, Yukai Wang, Jin Su, and Jie Wu. "Research on insurance policy formulation based on ARIMA-KMEANS algorithm." Highlights in Business, Economics and Management 36 (July 17, 2024): 52–58. http://dx.doi.org/10.54097/491e2j22.

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This paper is about the property insurance industry facing the challenge of extreme weather events. The research focuses on how to adapt and mitigate these challenges in order to maintain the sustainability of the insurance market and the financial security of property owners. This study focuses on the impact of extreme weather events on the property and casualty insurance industry, the risk assessment framework, and the use of open source risk assessment software and climate prediction models to analyze the impact of climate change on exposure to extreme climate events. This research fills a
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15

Al-Nimri, Ade. "The Impact of Climate Change on the U.S. Insurance Industry and Means of Prevention." International Journal of Environment and Climate Change 15, no. 1 (2025): 287–98. https://doi.org/10.9734/ijecc/2025/v15i14692.

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This research paper examines climate change's effects on the U.S. insurance sector from 1980 to 2023. The paper suggested that to alleviate the effects of climate change, insurers and insurance regulators must improve openness and accountability in their climate risk management and encourage firms to handle climate risks effectively. Furthermore, they must elucidate the appropriate management of climate risk and instruct examiners on circumventing blue-lining, which complicates families' access to affordable insurance and other financial services, thus hindering their capacity to recuperate fr
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Chen, Yijia, Kunpeng Hu, and Nan Li. "Strategic Models for Enhancing Insurance Resilience in the Face of Climate-Induced Natural Disasters." Highlights in Business, Economics and Management 36 (July 17, 2024): 109–16. http://dx.doi.org/10.54097/ps4eb067.

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As global climate change increases the frequency and intensity of natural disasters, the insurance industry faces significant challenges in risk management and policy affordability. This research develops three models to fortify the resilience of the insurance sector against the intensifying threats posed by climate-induced natural disasters. The Disaster-Affected Model quantifies the immediate impacts of diverse weather extremes, enabling precise risk assessments. The Insurance Bankruptcy Factor Model forecasts the financial sustainability of insurers, factoring in the frequency and severity
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17

Xia, Yuyang. "EEMD-ARIMA Model for annual precipitation forecasting to aid weather insurance decision-making research." Theoretical and Natural Science 39, no. 1 (2024): 172–79. http://dx.doi.org/10.54254/2753-8818/39/20240599.

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Climate risk poses significant threats to human life and property. Climate insurance can effectively mitigate and disperse these risks. This paper addresses the weakness in weather risk prediction for climate insurance formulation by combining Ensemble Empirical Mode Decomposition (EEMD) and Autoregressive Integrated Moving Average (ARIMA) models. Four models, namely EMD, EEMD, ARIMA, and EMD-ARIMA, were established for modeling and forecasting Chinas annual precipitation data. The results show that the EEMD-ARIMA model can suppress the modal aliasing problem in time series and has the best fi
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Stein, Kate, Wallis Greenslade, and Ed Day. "To Insure or Not to Insure, That Is the Question: Why Property Insurance Matters for Urban Climate Resilience, and Why Some Urban Areas Are Becoming “Uninsurable” Just When We Need Insurance Protection Most." Journal of City Climate Policy and Economy 4, no. 1 (2025): 186–201. https://doi.org/10.3138/jccpe-2024-0050.

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Property insurance is increasingly recognized as an enabler of not only post-disaster recovery, but also affordable housing, financial resilience, and the wider climate adaptation agenda for individuals and communities. In many cities and communities, however, climate change and other factors such as inflation and overdevelopment are increasing the risk of loss and damage from extreme weather hazards. In response, insurers are raising the premiums they charge for property insurance, or in some cases, withdrawing from vulnerable geographies completely—just at a time when insurance is becoming m
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19

Fan, Dingshu, and Hongye Wu. "Research on Extreme Weather Risk Management Based on Gray Prediction and Multi-Criteria Evaluation Models." Highlights in Business, Economics and Management 44 (November 25, 2024): 52–58. http://dx.doi.org/10.54097/g9n62g51.

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This study investigates the growing challenges faced by the insurance industry due to extreme weather events and climate change, with a focus on the widening global insurance gap. We propose a novel dual-model approach to address these complex issues. First, we develop a Gray Prediction-Based Risk Assessment Framework (GPRAF) that integrates multidimensional data on natural disasters, economic development, population dynamics, and agricultural trends. This framework enables insurance companies to make more informed underwriting decisions in the context of increasing climate-related risks. Thro
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Cao, Junjia, Zhuodong Liu, and Xi Lei. "Research on Insurance Industry Based on AR3 Multi Risk Model." Transactions on Economics, Business and Management Research 9 (August 21, 2024): 342–51. http://dx.doi.org/10.62051/e60z8783.

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The increasing frequency of extreme weather events presents challenges for the insurance industry, necessitating the construction of models for its development and offer insights and inspiration for real estate and community. In the current climate, aiming to enhance decision-making for insurance companies, this paper firstly establishes the AR3 Multi-Hazard Insurance Model incorporates three primary indicators of resilience, recovery, and adaptability, as well as secondary and tertiary indicators such as Insurance Penetration Rate (IPR), to evaluate regional disaster coping capabilities, whos
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Murtazova, Kheda, and Salambek Aliyev. "Insurance as a risk management system in green construction." BIO Web of Conferences 42 (2022): 06003. http://dx.doi.org/10.1051/bioconf/20224206003.

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The study of the problems of the impact of climate change on economic development has become in recent years one of the main directions of economic research. At the same time, along with the development of a global macroeconomic policy in the field of climate and green building, more and more attention is paid to the analysis of corporate strategies to reduce risks and adapt to the consequences of climate change. Without large-scale business investments in green innovative technologies and the introduction of corporate standards for reducing greenhouse gas emissions, it is impossible to achiev
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Li, Lanlan, Zhengqiao Liu, Jing-Yi Chen, Yang-Che Wu, and Hong Li. "Enhanced Agriculture Insurance with Climate Forecast." Sustainability 14, no. 17 (2022): 10617. http://dx.doi.org/10.3390/su141710617.

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This paper presents a model to study how climate forecasts and the agricultural production function affect the effectiveness of government policies (disaster bailouts and agricultural income tax) and agricultural insurance (both compulsory and voluntary). In the base model with a neoclassical production function, we find that these programs could increase farmers’ expected profit and reduce its volatility. Furthermore, credible climate forecasts enable farmers, insurance companies, and governments to make more informed cultivate and insurance decisions, and therefore increase the benefit of th
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Cicirko, Tomasz, and Marianna Cicirko. "Insurance sector challenges in the light of ESG. The case of Poland." Journal of Management and Financial Sciences, no. 51 (September 11, 2024): 59–79. http://dx.doi.org/10.33119/jmfs.2024.51.3.

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Recent scientific research confirms that climate change is a strategic topic, with environmental, social, and corporate governance (ESG) aspects becoming a decisive factor in business analysis and investment strategies. Additionally, regulatory and legislative changes put pressure on insurance companies to address climate risks. New European Union regulations give investors and consumers an opportunity to consciously decide whether to include ESG factors in their portfolios and contribute to their popularization. While the experience of investors with ESG is still limited, climate risk is now
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Sun, Zhimin. "Research on Changes in Travel Insurance Premiums Driven by Climate Change: A Case Study of Hong Kong Region." International Journal of Global Economics and Management 4, no. 1 (2024): 33–40. http://dx.doi.org/10.62051/ijgem.v4n1.06.

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This research aims to study the impacts of climate change on worldwide general travel insurance in Hong Kong and to provide a scientific basis for premium pricing strategies in a climate-driven context. The study adopts both qualitative and quantitative research methods to reveal the relationship between climate change and travel insurance. The qualitative analysis part constructs a theoretical framework through literature review. Taking into account the current state of research, the impact of climate change on the demand for travel insurance as well as the challenges and opportunities of pre
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Weill, Joakim A. "Flood Risk Mapping and the Distributional Impacts of Climate Information." Finance and Economics Discussion Series, no. 2023-066 (October 2023): 1–95. http://dx.doi.org/10.17016/feds.2023.066.

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This paper examines the provision of official flood risk information in the United States and its distributional impacts on residential flood insurance take-up. Assembling new data on all flood maps produced after Hurricane Katrina, I first document that updated maps decreased the number of properties zoned in high-risk floodplains and incorrectly omitted five million properties that should have been rezoned inside these areas. Removals and omissions disproportionately occurred in neighborhoods with more Black and Hispanic residents. Leveraging the staggered timing of map updates, I estimate t
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Kalfin, Sukono, Sudradjat Supian, and Mustafa Mamat. "Insurance as an Alternative for Sustainable Economic Recovery after Natural Disasters: A Systematic Literature Review." Sustainability 14, no. 7 (2022): 4349. http://dx.doi.org/10.3390/su14074349.

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The risk of natural disasters has increased over the last few decades, leading to significant economic losses across the globe. In response, research related to the risk of economic loss due to natural disasters has continued to develop. At present, insurance remains the best solution for funding such losses. The purpose of this study is to analyse the development of insurance as an alternative for sustainable economic recovery after natural disasters. The data used are articles obtained from several sources indexed by Scopus and Google Scholar. The search resulted in a final database of 266 a
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Cen, Chengen, Xinyue Ouyang, and Wei Chen. "Research and Application of Underwriting Decision Model Based on Climate Risk Factor." Highlights in Science, Engineering and Technology 108 (August 13, 2024): 62–68. http://dx.doi.org/10.54097/1e2kgh48.

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In recent years, the frequency of extreme weather has led to an increase in claims costs for the insurance industry resulting in higher insurance premiums. This paper addresses how to strike a balance between the profitability problem of insurance companies and the affordability of customers. Firstly, we construct an underwriting decision model based on the climate risk coefficient, then we use the entropy weight topology to measure multiple types of climate risks, then we estimate the disaster loss and insurance claim probability by ARIMA and random forest; we use the data envelopment analysi
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Fisher, Eleanor, Jon Hellin, Helen Greatrex, and Nathaniel Jensen. "Index insurance and climate risk management: Addressing social equity." Development Policy Review 37, no. 5 (2019): 581–602. http://dx.doi.org/10.1111/dpr.12387.

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Hochrainer, Stefan, Reinhard Mechler, and Daniel Kull. "Micro‐insurance against drought risk in a changing climate." International Journal of Climate Change Strategies and Management 2, no. 2 (2010): 148–66. http://dx.doi.org/10.1108/17568691011040407.

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30

Sainsbury, Nigel C., Rachel A. Turner, Bryony L. Townhill, Stephen C. Mangi, and John K. Pinnegar. "The challenges of extending climate risk insurance to fisheries." Nature Climate Change 9, no. 12 (2019): 896–97. http://dx.doi.org/10.1038/s41558-019-0645-z.

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31

Botzen, W. J. W., J. C. J. H. Aerts, and J. C. J. M. van den Bergh. "Willingness of homeowners to mitigate climate risk through insurance." Ecological Economics 68, no. 8-9 (2009): 2265–77. http://dx.doi.org/10.1016/j.ecolecon.2009.02.019.

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32

Liu, Yufei, Qiao Lei, Weiliang Li, Yongqiang Li, Yixuan Ma, and Zhu Chen. "Research on insurance decision-making based on the TOPSIS evaluation model and K-means clustering algorithm." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 867–73. http://dx.doi.org/10.54097/a3ebnr94.

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Increasing losses caused by extreme weather events led to property insurance costs soaring and becoming more challenging to obtain, leaving insurance companies and property owners in a severe crisis. This study aims to address the challenges posed by climate change to the insurance industry and explore the impact of extreme weather events on property insurance. We introduce the TOPSIS evaluation model and K-means clustering algorithm to assess the risk level in different regions and provide the optimal basis for insurance decisions. By analyzing global disaster data and emission indicators, th
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33

Mazviona, B. W. "MAIZE INDEX INSURANCE AND MANAGEMENT OF CLIMATE CHANGE IN A DEVELOPING ECONOMY." Strategic decisions and risk management 12, no. 4 (2022): 299–305. http://dx.doi.org/10.17747/2618-947x-2021-4-299-305.

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This study provides an evaluation of the effectiveness of the maize index insurance in reducing the risk exposure of small-scale farmers in Zimbabwe. Maize yields and rainfall data for the period 2010–2019 farming season were obtained from AGRITEXT and the NASA website. The Black-Scholes optional pricing framework was applied to estimate the prices of the maize index insurance. The mean root square loss (MRSL) was evaluated for the case where there is no insurance and where there is insurance. MRSL was compared for the two scenarios. The index insurance was found to be efficient in risk reduct
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Fu, Dongling, Qianran Hong, and Xuechun Xu. "Navigating Insurance Challenges: A Decision Tree Model for Insurance Pricing and Risk Strategy." Highlights in Business, Economics and Management 33 (May 9, 2024): 699–706. http://dx.doi.org/10.54097/hesh2r26.

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Amid escalating natural disasters intensified by climate change, accurately assessing risks and determining insurance rates in disaster-prone areas present significant challenges to the insurance industry, impacting the underwriting decisions and strategies correspondingly. This article employs a frequency-loss degree framework to quantify meteorological disaster risk as the Annual Average Loss (AAL), which was classified into three categories (severe, moderate, and mild) further. Utilizing a Poisson Distribution to process extreme event data and integrating it with data from typical years int
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Tesselaar, Max, W. J. Wouter Botzen, and Jeroen C. J. H. Aerts. "Impacts of Climate Change and Remote Natural Catastrophes on EU Flood Insurance Markets: An Analysis of Soft and Hard Reinsurance Markets for Flood Coverage." Atmosphere 11, no. 2 (2020): 146. http://dx.doi.org/10.3390/atmos11020146.

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The increasing frequency and severity of natural catastrophes due to climate change is expected to cause higher natural disaster losses in the future. Reinsurance companies bear a large share of this risk in the form of excess-of-loss coverage, where they underwrite the most extreme portion of insurers’ risk portfolios. Past experience has shown that after a very large natural disaster, or multiple disasters in close succession, the recapitalization need of reinsurers could trigger a “hard” reinsurance capital market, where a high demand for capital increases the price charged by investors, wh
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Botzen, W. J. W., and J. C. J. M. van den Bergh. "Risk attitudes to low-probability climate change risks: WTP for flood insurance." Journal of Economic Behavior & Organization 82, no. 1 (2012): 151–66. http://dx.doi.org/10.1016/j.jebo.2012.01.005.

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EMMERLING, JOHANNES. "SHARING OF CLIMATE RISKS ACROSS WORLD REGIONS." Climate Change Economics 09, no. 03 (2018): 1850007. http://dx.doi.org/10.1142/s2010007818500070.

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Climate change impacts are stochastic and highly uncertain and moreover heterogeneous across regions. That is, there is a potential to sharing this risk ex-ante across regions and hence to reduce the welfare-economic costs of these risks. We analyze how climate risks could be reduced via an insurance scheme at the global scale across regions and quantify the potential welfare gains. We introduce risk sharing of global climate risk represented by the equilibrium climate sensitivity, and introduce an asset-based insurance scheme to allow for risk sharing across regions. We estimate that such ris
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Sylos Labini, Stefania. "Editorial: Challenging issues in risk governance and control." Risk Governance and Control: Financial Markets and Institutions 9, no. 4 (2020): 4–6. http://dx.doi.org/10.22495/rgcv9i4_editorial.

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The leitmotif of this fourth issue of the journal seems to revolve around the role of finance in the current context of climate change. Concerns about the disastrous effects of climate change affect many areas. The rapidity of climate change requires urgent action from governments, industries and businesses to build more resilient communities and reduce the impact of disasters. The most recent example is the disaster that is affecting Australia, with fires fueled by record temperatures and entrenched drought conditions. Coordinated national action is critical for managing the impacts of this p
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Ko, Chloe(Eun Young). "Review of Index Insurance from Legal & Regulatory Perspectives and Recommendations for Best Practices." Korean Insurance Law Association 18, no. 3 (2024): 223–85. http://dx.doi.org/10.36248/kdps.2024.18.3.223.

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This paper discusses the characteristics, potential for development, and the legal and regulatory aspects of parametric insurance. With the increasing risks posed by natural disasters and climate change, traditional insurance products often fail to provide adequate coverage, which has led to growing attention on parametric insurance as a new risk management tool. Parametric insurance compensates losses based on predefined indices derived from weather data, and it plays a crucial role in addressing the protection gap, particularly in Africa and developing countries, where natural disasters are
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Yoder, Landon, Chloe Wardropper, Rachel Irvine, and Seth Harden. "Cover crops as climate insurance: Exploring the role of crop insurance discounts to promote climate adaptation and mitigate risk." Journal of Environmental Management 373 (January 2025): 123506. https://doi.org/10.1016/j.jenvman.2024.123506.

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Wang, Hengli, Hong Liu, and Danyang Wang. "Agricultural Insurance, Climate Change, and Food Security: Evidence from Chinese Farmers." Sustainability 14, no. 15 (2022): 9493. http://dx.doi.org/10.3390/su14159493.

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As an effective risk management mechanism, agricultural insurance can reduce the risk of uncertainty in agricultural production and guarantee food security. Based on Chinese provincial panel data from 2003 to 2020, this study uses the Entropy Method to measure food security and systematically examines the impact of climate change and agricultural insurance on food security as well as its mechanisms. The present study found that climate change, especially extreme temperatures, has a significant negative impact on food security and food production. The promotion effect of agricultural insurance
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Bak, Joanna. "Hurricane Risk and Property Insurance in Poland." Olsztyn Economic Journal 17, no. 1 (2022): 49–57. http://dx.doi.org/10.31648/oej.8409.

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The objective of this paper is to identify the current situation and the trends in the market of property insurance offering protection against hurricane risk. This paper presents data on strong winds in January and February 2022 in Poland and the damage caused by them. Information from the General Headquarters of the National Fire Service, from the Energa Group of Companies and from individual insurance companies was used. The analysis was performed for insurance market data, and it focused on group 8, Section II (insurance against the element risk). To this end, the Annual Reports of the Pol
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Mushikiwabo, Esther. "Impact of Livestock Insurance Schemes on Smallholder Farmers’ Resilience to Climate Change in Sub-Saharan Africa." International Journal of Livestock Policy 3, no. 2 (2024): 14–26. http://dx.doi.org/10.47941/ijlp.1966.

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Purpose: This study sought to investigate the impact of livestock insurance schemes on smallholder farmers’ resilience to climate change in Saharan Africa. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published stu
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Gray, Ian. "Hazardous simulations: Pricing climate risk in US coastal insurance markets." Economy and Society 50, no. 2 (2021): 196–223. http://dx.doi.org/10.1080/03085147.2020.1853358.

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45

Wouter Botzen, W. J., and Jeroen C. J. M. Van Den Bergh. "MONETARY VALUATION OF INSURANCE AGAINST FLOOD RISK UNDER CLIMATE CHANGE*." International Economic Review 53, no. 3 (2012): 1005–26. http://dx.doi.org/10.1111/j.1468-2354.2012.00709.x.

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Phelan, Liam, Ros Taplin, Ann Henderson-Sellers, and Glenn Albrecht. "Ecological Viability or Liability? Insurance System Responses to Climate Risk." Environmental Policy and Governance 21, no. 2 (2011): 112–30. http://dx.doi.org/10.1002/eet.565.

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Yang, Qining. "Research on the Impact of Climate Change on Insurance Companies." Advances in Economics, Management and Political Sciences 9, no. 1 (2023): 263–68. http://dx.doi.org/10.54254/2754-1169/9/20230393.

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The global climate is changing with more and more extreme weather, including typhoons, extreme temperatures and other disasters. Climate change has an extraordinary impact on the insurance industry. However, according to research, a third of insurers are not paying enough attention to the impacts of climate change. This paper analyzes and demonstrates the impact of weather changes from two parts of non-life insurance and life insurance through cases. Taking the typhoon as the cut-in perspective, the impact on the climate is analyzed from three aspects: strong wind, storm surge and heavy rain.
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Kousky, Carolyn. "The Role of Natural Disaster Insurance in Recovery and Risk Reduction." Annual Review of Resource Economics 11, no. 1 (2019): 399–418. http://dx.doi.org/10.1146/annurev-resource-100518-094028.

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Natural disaster losses have been increasing worldwide. Insurance is thought to play a critical role in improving resilience to these events by both promoting recovery and providing incentives for investments in hazard mitigation. This review first examines the functioning of disaster insurance markets broadly and then turns to reviewing empirical studies on the role of natural disaster insurance in recovery and the impacts of disaster insurance on incentives for ex ante hazard mitigation and land use. Rigorous empirical work on these topics is limited. The work that has been done suggests tha
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Owen, Rebecca. "Changing climate, changing insurance risk." Temblor, 2022. http://dx.doi.org/10.32858/temblor.281.

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Alokla, Jassem, Panagiotis Tzouvanas, and Khaldoon Albitar. "Does Climate Change Risk Impact Insurance Credit Risk? Cross Country Evidence." Business Strategy and the Environment, March 19, 2025. https://doi.org/10.1002/bse.4252.

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ABSTRACTWhile climate change poses a significant financial risk to the insurance industry, research has not yet examined the impact on the insurer's credit risk. This study investigates the impact of climate change risks on credit risk for insurance firms. We develop a novel climate risk measure by contrasting four key components: hydrological risks, temperature extremes, extreme weather events, and water related risks. Utilizing this comprehensive measure, we analyse a global sample of 150 insurance firms across 31 countries from 2001 to 2022. Our findings reveal a significant negative relati
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