{"title":"A double-bounded risk-risk trade-off analysis of heatwave-related mortality risk: Evidence from India","authors":"","doi":"10.1007/s11166-023-09422-2","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>As climate variability is increasing, extreme events such as temperature fluctuations are expected to become more frequent. Low- and middle-income countries (LMICs) are especially vulnerable to heat-related variability and its ensuing impacts on mortality. Therefore, there is an urgent need to understand how citizens in LMICs trade-off climate-related mortality risks with other risks such as traffic accidents, and what values they place on reducing such risks. As populations in LMICs are income-constrained, we adopt a non-monetary, risk-risk trade-off (RRTO) valuation method instead of the standard willingness-to-pay stated preference-based approach. We estimate the resulting risk premium for heatwave-related mortality risks through an adapted double-bounded, dichotomous choice approach to establish whether, on average, people value avoiding these risks more compared to reducing traffic risks. Using a sample of over 2,300 individuals from across seven states in India, a country with one of the highest heat-related mortality globally, we estimate the heatwave risk mortality premium to be between 2.2–2.9, indicating that on average, individuals weigh reducing heatwave-related mortality risks more than two times that of reducing traffic accident mortality risks. Based on a standard benefit transfer methodology for LMICs, this premium translates to a Value of Statistical Life (VSL) of USD 0.37–2.61 million for India.</p>","PeriodicalId":48066,"journal":{"name":"Journal of Risk and Uncertainty","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Risk and Uncertainty","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s11166-023-09422-2","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
As climate variability is increasing, extreme events such as temperature fluctuations are expected to become more frequent. Low- and middle-income countries (LMICs) are especially vulnerable to heat-related variability and its ensuing impacts on mortality. Therefore, there is an urgent need to understand how citizens in LMICs trade-off climate-related mortality risks with other risks such as traffic accidents, and what values they place on reducing such risks. As populations in LMICs are income-constrained, we adopt a non-monetary, risk-risk trade-off (RRTO) valuation method instead of the standard willingness-to-pay stated preference-based approach. We estimate the resulting risk premium for heatwave-related mortality risks through an adapted double-bounded, dichotomous choice approach to establish whether, on average, people value avoiding these risks more compared to reducing traffic risks. Using a sample of over 2,300 individuals from across seven states in India, a country with one of the highest heat-related mortality globally, we estimate the heatwave risk mortality premium to be between 2.2–2.9, indicating that on average, individuals weigh reducing heatwave-related mortality risks more than two times that of reducing traffic accident mortality risks. Based on a standard benefit transfer methodology for LMICs, this premium translates to a Value of Statistical Life (VSL) of USD 0.37–2.61 million for India.
期刊介绍：
The Journal of Risk and Uncertainty (JRU) welcomes original empirical, experimental, and theoretical manuscripts dealing with the analysis of risk-bearing behavior and decision making under uncertainty. The topics covered in the journal include, but are not limited to, decision theory and the economics of uncertainty, experimental investigations of behavior under uncertainty, empirical studies of real world risk-taking behavior, behavioral models of choice under uncertainty, and risk and public policy. Review papers are welcome.
The JRU does not publish finance or behavioral finance research, game theory, note length work, or papers that treat Likert-type scales as having cardinal significance.
An important aim of the JRU is to encourage interdisciplinary communication and interaction between researchers in the area of risk and uncertainty. Authors are expected to provide introductory discussions which set forth the nature of their research and the interpretation and implications of their findings in a manner accessible to knowledgeable researchers in other disciplines.
Officially cited as: J Risk Uncertain
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