{"title":"The coronavirus outbreak calls for epidemic catastrophe insurance: Evidence from China.","authors":"Yinghui Wang, Jianping Li, Xiaoqian Zhu","doi":"10.1111/risa.17700","DOIUrl":null,"url":null,"abstract":"<p><p>The COVID-19 shows significant \"catastrophe\" characteristics. It has put tremendous pressure on various countries' government finances. A few studies have realized that insurance could be applied in the rescue of catastrophic epidemics to relieve government pressure and improve rescue efficiency. However, most of these studies are based on qualitative analysis, with few quantitative calculations to prove whether it is feasible. Therefore, this article discusses the insurability of epidemic catastrophe insurance and proposes a novel quantitative methodology that measures insurance funds, estimates pandemic-induced losses, and integrates reinsurance analysis to evaluate its effectiveness. Based on epidemic loss data collected from public information in China, the empirical study shows that China's epidemic catastrophe insurance fund can reach 50 billion yuan 5 years after its establishment and over 120 billion 10 years later, which can cover the losses caused by mild and severe epidemics. The epidemic catastrophe fund is capable of meeting claims requirements and effectively covering epidemics of varying severities. Furthermore, the reinsurance model demonstrates that insurers can transfer risks at a relatively reasonable cost, thereby covering losses from extreme epidemics. The findings reveal the effectiveness of epidemic catastrophe insurance, suggesting that worldwide countries incorporate epidemics into their catastrophe insurance to aid government in responding to future catastrophic epidemics.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Analysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/risa.17700","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The COVID-19 shows significant "catastrophe" characteristics. It has put tremendous pressure on various countries' government finances. A few studies have realized that insurance could be applied in the rescue of catastrophic epidemics to relieve government pressure and improve rescue efficiency. However, most of these studies are based on qualitative analysis, with few quantitative calculations to prove whether it is feasible. Therefore, this article discusses the insurability of epidemic catastrophe insurance and proposes a novel quantitative methodology that measures insurance funds, estimates pandemic-induced losses, and integrates reinsurance analysis to evaluate its effectiveness. Based on epidemic loss data collected from public information in China, the empirical study shows that China's epidemic catastrophe insurance fund can reach 50 billion yuan 5 years after its establishment and over 120 billion 10 years later, which can cover the losses caused by mild and severe epidemics. The epidemic catastrophe fund is capable of meeting claims requirements and effectively covering epidemics of varying severities. Furthermore, the reinsurance model demonstrates that insurers can transfer risks at a relatively reasonable cost, thereby covering losses from extreme epidemics. The findings reveal the effectiveness of epidemic catastrophe insurance, suggesting that worldwide countries incorporate epidemics into their catastrophe insurance to aid government in responding to future catastrophic epidemics.
期刊介绍:
Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include:
• Human health and safety risks
• Microbial risks
• Engineering
• Mathematical modeling
• Risk characterization
• Risk communication
• Risk management and decision-making
• Risk perception, acceptability, and ethics
• Laws and regulatory policy
• Ecological risks.