Yanying Wang , Yana Jin , Huan Lin , Wei Wan , Shiqiu Zhang
{"title":"在快速发展的社会中评估降低死亡率的风险:1998-2019年中国陈述偏好研究的荟萃分析。","authors":"Yanying Wang , Yana Jin , Huan Lin , Wei Wan , Shiqiu Zhang","doi":"10.1016/j.socscimed.2024.117471","DOIUrl":null,"url":null,"abstract":"<div><div>The estimate used to value mortality risk reductions, conventionally expressed as the value of a statistical life (VSL), has long been an important parameter for economic analysis in developed countries. However, the application of VSL in developing countries has been challenging due to insufficient empirical attention. We conduct a comprehensive meta-analysis of 19 stated preference (SP) studies on VSL covering Chinese populations between 1998 and 2019 to provide a unique perspective on VSL in a fast-developing society. In contrast to the findings of research conducted in developed countries, we find no evidence of publication bias. We determine that the income of the population studied, the type of risk and the magnitude of risk reduction are the most important variables affecting VSL estimates. However, the relationship between these key factors and VSL changes as society develops, especially after the social shock of an environmental health risk crisis. We also provide a set of VSL estimates and key parameters needed in benefit transfer that are tailored to the settings of various economic analyses of health effects.</div></div>","PeriodicalId":49122,"journal":{"name":"Social Science & Medicine","volume":"363 ","pages":"Article 117471"},"PeriodicalIF":4.9000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Valuing mortality risk reductions in a fast-developing society: A meta-analysis of stated preference studies in China from 1998 to 2019\",\"authors\":\"Yanying Wang , Yana Jin , Huan Lin , Wei Wan , Shiqiu Zhang\",\"doi\":\"10.1016/j.socscimed.2024.117471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The estimate used to value mortality risk reductions, conventionally expressed as the value of a statistical life (VSL), has long been an important parameter for economic analysis in developed countries. However, the application of VSL in developing countries has been challenging due to insufficient empirical attention. We conduct a comprehensive meta-analysis of 19 stated preference (SP) studies on VSL covering Chinese populations between 1998 and 2019 to provide a unique perspective on VSL in a fast-developing society. In contrast to the findings of research conducted in developed countries, we find no evidence of publication bias. We determine that the income of the population studied, the type of risk and the magnitude of risk reduction are the most important variables affecting VSL estimates. However, the relationship between these key factors and VSL changes as society develops, especially after the social shock of an environmental health risk crisis. We also provide a set of VSL estimates and key parameters needed in benefit transfer that are tailored to the settings of various economic analyses of health effects.</div></div>\",\"PeriodicalId\":49122,\"journal\":{\"name\":\"Social Science & Medicine\",\"volume\":\"363 \",\"pages\":\"Article 117471\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Science & Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0277953624009250\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science & Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0277953624009250","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Valuing mortality risk reductions in a fast-developing society: A meta-analysis of stated preference studies in China from 1998 to 2019
The estimate used to value mortality risk reductions, conventionally expressed as the value of a statistical life (VSL), has long been an important parameter for economic analysis in developed countries. However, the application of VSL in developing countries has been challenging due to insufficient empirical attention. We conduct a comprehensive meta-analysis of 19 stated preference (SP) studies on VSL covering Chinese populations between 1998 and 2019 to provide a unique perspective on VSL in a fast-developing society. In contrast to the findings of research conducted in developed countries, we find no evidence of publication bias. We determine that the income of the population studied, the type of risk and the magnitude of risk reduction are the most important variables affecting VSL estimates. However, the relationship between these key factors and VSL changes as society develops, especially after the social shock of an environmental health risk crisis. We also provide a set of VSL estimates and key parameters needed in benefit transfer that are tailored to the settings of various economic analyses of health effects.
期刊介绍:
Social Science & Medicine provides an international and interdisciplinary forum for the dissemination of social science research on health. We publish original research articles (both empirical and theoretical), reviews, position papers and commentaries on health issues, to inform current research, policy and practice in all areas of common interest to social scientists, health practitioners, and policy makers. The journal publishes material relevant to any aspect of health from a wide range of social science disciplines (anthropology, economics, epidemiology, geography, policy, psychology, and sociology), and material relevant to the social sciences from any of the professions concerned with physical and mental health, health care, clinical practice, and health policy and organization. We encourage material which is of general interest to an international readership.