Article(id=1321170524386997248, tenantId=1146029695717560320, journalId=1319373219989389464, issueId=1321170430187130949, articleNumber=null, orderNo=null, doi=10.11847/zgggws1145373, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1720108800000, receivedDateStr=2024-07-05, revisedDate=1727193600000, revisedDateStr=2024-09-25, acceptedDate=1737648000000, acceptedDateStr=2025-01-24, onlineDate=1792921199175, onlineDateStr=2026-10-25, pubDate=1739116800000, pubDateStr=2025-02-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792921199175, onlineIssueDateStr=2026-10-25, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792921199175, creator=13701087609, updateTime=1792921199175, updator=13701087609, issue=Issue{id=1321170430187130949, tenantId=1146029695717560320, journalId=1319373219989389464, year='2025', volume='41', issue='2', pageStart='129', pageEnd='256', issueExtLink='null', onlineDate='null', pubDate='1739116800000', pubDateStr='2025-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792921176716, creator='13701087609', updateTime=1792921176716, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=239, endPage=245, ext={EN=ArticleExt(id=1321170524739317760, articleId=1321170524386997248, tenantId=1146029695717560320, journalId=1319373219989389464, language=EN, title=Willingness-to-pay-based estimates of the value of statistical life in China: a systematic review, columnId=1320427713148597230, journalTitle=Chinese Journal of Public Health, columnName=Review, runingTitle=null, highlight=null, articleAbstract=
Objective To conduct a systematic review of willingness-to-pay (WTP)-based estimates of the value of statistical life (VSL) reported by studies in China, and to compare VSLs associated with different hazards and estimation methods in order to provide more accurate estimates of VSL for future policy decisions.
Methods Empirical studies in China on WTP-based VSL estimates published through April 1, 2024 were collected by searching the China National Knowledge Infrastructure (CNKI), VIP Chinese Database, PubMed, Embase, Web of Science, and MEDLINEand supplemented by a literature review method.The VSL estimates reported in the studies were systematically evaluated in terms of research scope and methods.
Results Of the 28 studies reviewed, 11 were on VSLs related to air pollution, 9 to traffic safety, 5 to occupational safety, 2 to health conditions, and 1 to a combined circumstance, with 26 studies using stated preference surveys and 2 using revealed preference surveys. The median VSL estimate (in million of Chinese yuan) for all reviewed studies was 1.962 2, with VSL estimates of 1.689 0 for air pollution, 0.985 7 for traffic safety, 4.996 0 for occupational safety, and 4.033 0 for health conditions and combined circumstances; the median VSL estimates for studies using stated and revealed preference surveys were 1.825 6 and 1.553 0, respectively. The main factors influencing WTP were income, education, age, household size, and perceived health status for studies related to air pollution; income, education, age, and perceived risk for studies related to traffic safety; income, education, age, perceived risk, gender, and marital status for studies related to occupational safety; and income, education, age, and risk variation for studies related to health conditions.
Conclusions VSL estimates from studies in China show some variation due to differences in research scope and methodology. The common factors influencing VSL estimates across studies are primarily income, education, age, and perceived risk.
, authors=Yinuo NA, Yi LI, Dan WANG, Bingjie LIU, Xin ZHANG, authorsList=Yinuo NA, Yi LI, Dan WANG, Bingjie LIU, Xin ZHANG, authorCompany=null, correspAuthors=Xin ZHANG, authorNote=null, correspAuthorsNote=
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目的 基于支付意愿法系统评价中国统计生命价值(VSL),比较不同领域和不同估计方法VSL估计值的差异,为今后的政策制定提供更准确的生命价值评估依据。
方法 检索中国知网数据库、维普中文数据库、PubMed数据库、Embase数据库、Web of Science数据库和MEDLINE数据库,并辅以文献追溯法收集各数据库建库至2024年4月1日公开发表的关于中国基于支付意愿法进行VSL实证研究的相关文献,从研究领域和研究方法等角度对纳入文献的VSL估计值进行系统评价。
结果 本研究共纳入28篇文献进行系统综述,其中空气污染领域11篇、交通安全领域9篇、职业安全领域5篇、健康领域2篇、混合领域1篇,采用陈述偏好方法研究26篇、显示偏好方法研究2篇;我国总体研究的VSL中位数估计值为196.22万元,其中空气污染领域、交通安全领域、职业安全领域和健康领域的VSL中位数估计值分别为168.90万元、98.57万元、499.60万元和403.30万元,陈述偏好方法研究和显示偏好方法研究的VSL中位数估计值分别为182.56万元和155.30万元;空气污染领域支付意愿的主要影响因素为收入水平、教育程度、年龄、家庭规模和自我认知的身体健康状况,交通安全领域支付意愿的主要影响因素为收入水平、教育程度、年龄和认知风险程度,职业安全领域支付意愿的主要影响因素为收入水平、教育程度、年龄、认知风险程度、性别和婚姻状况,健康领域支付意愿的主要影响因素为收入水平、教育程度、年龄和风险变动。
结论 VSL估计值因研究领域和研究方法的不同存在一定差异,各领域VSL估计的共同影响因素主要为收入水平、教育程度、年龄和认知风险。
, authors=那艺诺, 李艺, 王丹, 刘冰洁, 张歆
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那艺诺(2000—),硕士在读,研究方向:支付意愿分析、统计生命价值估算方法
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-model[J]. Environmental and Resource Economics, 2011, 49(4): 597-624., articleTitle=null, refAbstract=null), Reference(id=1321170536814719065, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=44, rfOrder=43, authorNames=null, journalName=null, refType=null, unstructuredReference=Andersson H. Consistency in preferences for road safety: an analysis of precautionary and stated behavior[J]. Research in Transportation Economics, 2013, 43(1): 41-49., articleTitle=null, refAbstract=null), Reference(id=1321170536915382362, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=45, rfOrder=44, authorNames=null, journalName=null, refType=null, unstructuredReference=Viscusi W K. The value of risks to life and health[J]. Journal of Economic Literature, 1993, 31(4): 1912-1946., articleTitle=null, refAbstract=null), Reference(id=1321170536995074139, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=46, rfOrder=45, authorNames=null, journalName=null, refType=null, unstructuredReference=Masterman C J, Viscusi W K. The income elasticity of global values of a statistical life: stated preference evidence[J]. Journal of Benefit-Cost Analysis, 2018, 9(3): 407-434., articleTitle=null, refAbstract=null), Reference(id=1321170537070571612, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=47, rfOrder=46, authorNames=null, journalName=null, refType=null, unstructuredReference=张欢, 刘金辉, 陈玉, 等. 农村居民癌症筛查服务需求及支付意愿分析[J]. 中国公共卫生, 2022, 38(6): 795-799., articleTitle=null, refAbstract=null), Reference(id=1321170537154457693, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=48, rfOrder=47, authorNames=null, journalName=null, refType=null, unstructuredReference=朱澜澜, 胡平成, 郭伟, 等. 基于Tobit模型分析长沙市高中女生HPV九价疫苗支付意愿及其影响因素[J]. 中国公共卫生, 2021, 37(3): 419-422., articleTitle=null, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1321170527352369156, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, xref=null, ext=[AuthorCompanyExt(id=1321170527369146373, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, companyId=1321170527352369156, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Department of Health Economics, Harbin Medical University, Harbin 150081, China), AuthorCompanyExt(id=1321170527377534982, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, companyId=1321170527352369156, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=哈尔滨医科大学卫生经济学教研室,哈尔滨 150081)])], figs=[ArticleFig(id=1321170529248194600, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, language=EN, label=Fig.1, caption=
Flowchart of the study selection process, figureFileSmall=QDpTs0T9WnQl+OBkVP0+gw==, figureFileBig=eyd4lWmjgDOeOoDEQ1QXeA==, tableContent=null), ArticleFig(id=1321170529311109161, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, language=CN, label=图1, caption=
文献筛选流程图, figureFileSmall=QDpTs0T9WnQl+OBkVP0+gw==, figureFileBig=eyd4lWmjgDOeOoDEQ1QXeA==, tableContent=null), ArticleFig(id=1321170529478881322, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, language=EN, label=Tab.1, caption=
First author, region/year/scope/population/sample size/method of the study, risk variation, and originally reported value of a statistical life for the 28 included studies
, figureFileSmall=null, figureFileBig=null, tableContent=
| 第一作者 | 研究地区 | 调查年份 | 研究领域 | 研究人群 | 有效样本量 | 研究方法 | 风险变动 | 原始VSL报告值 |
|---|
| Qin X Z[10] | 中国 | 2005年 | 劳动力市场 | 劳动者 | 1 285 012 | CWD | 平均死亡率为6.62 / 10万 | 181万元人民币 |
| Wang H[13] | 重庆市 | 1998年 | 空气污染 | 15~80岁居民 | 482 | CV | 死亡风险降低0.5‱ | 28.6万元人民币 |
| Guo X Q[14] | 四川省成都市 | 1995年 | 空气污染 | 工人 | 997 | CV | 死亡风险降低3‱、5‱和10‱ | 1.2万⁓12万美元 |
| Hammitt J K[15] | 北京市、安徽省 安庆市 | 1999年 | 空气污染 | 18~65成年人 | 3700 | CV | 死亡风险降低50‱⁓60‱ | 0.4万⁓1.7万美元 |
| 梅强[16] | 江苏省 | 2004年 | 劳动力市场 | 工人 | 933 | CV | 工作危险等级增加1级 | 507.65万⁓557.78 万元人民币 |
| 罗俊鹏[17] | 北京市 | | 道路交通安全 | ≥18岁成年人 | 500 | CV | 死亡风险降低2‱ | 51.3万元人民币 |
| GUO X Q[18] | 中国 | 1995年和 2000— 2002年 | 劳动力市场 | 工人 | 21 698 | CWD | | 4.5万美元 |
| 曾贤刚[19] | 上海市、广西壮族自治区南宁市、江西省九江市 | | 空气污染 | 40~80岁居民 | 380/ 344/355 (上海/南宁/ 九江) | CV | 10年间死亡风险降低10‰和5‰ | 约100万元人民币 |
| Liu W G[20] | 辽宁省大连市 | | 道路交通安全 | 私家车出行者 | 1 050 | CV | 绝对风险降低分别为6/10万、12/10万和18/10万 | 55万⁓156万元 人民币 |
| 党健[21] | 河南省义马市 | 2010年 | 劳动力市场 | 工人 | 903 | CV | 工作危险性减少 一半 | 362.350 016万 ⁓426.932 518万元人民币 |
| 刘文歌[22] | 辽宁省大连市 | 2011年 | 道路交通安全 | 私家车出行者 | 1 056 | CV | 每年致命风险降低2‱ | 59.8万元人民币 |
| Liu W G[23] | 辽宁省大连市 | 2011年 | 道路交通安全 | 私家车出行者 | 213 | DCE | 平均死亡风险降低1‱ | 36万元人民币 |
| Wang H[24] | 江苏丹阳市、贵州省六盘水市、 天津市 | 2000年 | 癌症预防 | 居民 | 838 | CV | 1种药能确保1年不患癌症 | 48.1⁓81.4万元 人民币 |
| 程启智[25] | 北方地区 | 2010年 | 劳动力市场 | 工人 | 863 | HC/CV | 工作危险性减少 一半 | 400⁓600 万元 人民币 |
| 刘文歌[26] | 辽宁省大连市 | 2011年 | 道路交通安全 | 私家车出行者 | 926 | CV | 每年致命风险降低2‱ | 59.8万元人民币 |
| 高婷[27] | 北京市 | 2014年 | 空气污染 | 居民 | 722 | CV | 死亡率降低1.5‱ | 66.7万⁓133.3万元人民币 |
| Yang Z[28] | 江苏省南京市 | 2014— 2015年 | 道路交通安全 | 居民 | 2 857 | DCE | 每年死亡人数减少到原来一半 | 718.440 6万元 人民币 |
| Hoffmann S[29] | 上海市、江西省九江市、广西壮族自治区南宁市 | 2006年 | 空气污染 | 居民 | 980 | CV | 每年死亡率风险降低5‱ | 147万元人民币 |
| Huang D S[30] | 北京市 | 2010年 | 空气污染 | 居民 | 475 | DCE | 10年内死亡风险降低2‰/1.5‰/1‰ | 524万元人民币 |
| Hammitt J K[31] | 四川省成都市 | 2016年 | 健康 | 18~70岁居民 | 2 048 | CV | 当年死亡风险降低3‱和5‱ | 55万美元 |
| Hao Y[32] | 74个城市 | 2016年 | 空气污染 | 居民 | 308 | CV | 未来10年死亡风险降低5%和10% | 153万元人民币 |
| Zheng Q K[33] | 浙江省杭州市 | 2017年 | 道路交通安全 | 居民 | 1 092 | CV | 每年死亡人数减少到原来2/5 | 439.99万元人民币 |
| 刘文歌[34] | 辽宁省大连市 | 2018年 | 道路交通安全 | 私家车出行者 | 324 | DCE | 平均死亡风险降低7‱ | 105.76万元人民币 |
| 刘文歌[35] | 辽宁省大连市 | 2018年 | 道路交通安全 | 私家车出行者 | 1 546 | CV | 未来10年死亡风险降低1‱ | 231.08万元人民币 |
| Jin Y[36] | 北京市 | 2016年 | 空气污染 | 居民 | 1 107 | DCE | 每年发病率和死亡率降低0.1‱ | 554万元人民币 |
| 彭菲[37] | 成渝地区 | 2018年 | 空气污染 | 居民 | 1 205 | CV | 降低5‰死亡率 | 394.8万元人民币 |
| 张羽[38] | 四川省成都市 | 2020年 | 建筑职业市场/新型冠状病毒感染疫情 | 建筑从业者/ 居民 | 536/571(分2种 风险进行调查) | CV | 降低0.5‱死亡率 | 429.472万元人民币/459.079万元人民币 |
| Cao C J[39] | 北京市、山西省晋中市、江苏省扬州市、江西省赣州市、广东省汕头市、吉林省四平市 | 2019年 | 空气污染 | ≥18岁居民 | 3936 | CV | 每年降低12/10万死亡风险 | 510万元人民币 |
), ArticleFig(id=1321170529575350315, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, language=CN, label=表1, caption=
纳入文献一般特征
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| 第一作者 | 研究地区 | 调查年份 | 研究领域 | 研究人群 | 有效样本量 | 研究方法 | 风险变动 | 原始VSL报告值 |
|---|
| Qin X Z[10] | 中国 | 2005年 | 劳动力市场 | 劳动者 | 1 285 012 | CWD | 平均死亡率为6.62 / 10万 | 181万元人民币 |
| Wang H[13] | 重庆市 | 1998年 | 空气污染 | 15~80岁居民 | 482 | CV | 死亡风险降低0.5‱ | 28.6万元人民币 |
| Guo X Q[14] | 四川省成都市 | 1995年 | 空气污染 | 工人 | 997 | CV | 死亡风险降低3‱、5‱和10‱ | 1.2万⁓12万美元 |
| Hammitt J K[15] | 北京市、安徽省 安庆市 | 1999年 | 空气污染 | 18~65成年人 | 3700 | CV | 死亡风险降低50‱⁓60‱ | 0.4万⁓1.7万美元 |
| 梅强[16] | 江苏省 | 2004年 | 劳动力市场 | 工人 | 933 | CV | 工作危险等级增加1级 | 507.65万⁓557.78 万元人民币 |
| 罗俊鹏[17] | 北京市 | | 道路交通安全 | ≥18岁成年人 | 500 | CV | 死亡风险降低2‱ | 51.3万元人民币 |
| GUO X Q[18] | 中国 | 1995年和 2000— 2002年 | 劳动力市场 | 工人 | 21 698 | CWD | | 4.5万美元 |
| 曾贤刚[19] | 上海市、广西壮族自治区南宁市、江西省九江市 | | 空气污染 | 40~80岁居民 | 380/ 344/355 (上海/南宁/ 九江) | CV | 10年间死亡风险降低10‰和5‰ | 约100万元人民币 |
| Liu W G[20] | 辽宁省大连市 | | 道路交通安全 | 私家车出行者 | 1 050 | CV | 绝对风险降低分别为6/10万、12/10万和18/10万 | 55万⁓156万元 人民币 |
| 党健[21] | 河南省义马市 | 2010年 | 劳动力市场 | 工人 | 903 | CV | 工作危险性减少 一半 | 362.350 016万 ⁓426.932 518万元人民币 |
| 刘文歌[22] | 辽宁省大连市 | 2011年 | 道路交通安全 | 私家车出行者 | 1 056 | CV | 每年致命风险降低2‱ | 59.8万元人民币 |
| Liu W G[23] | 辽宁省大连市 | 2011年 | 道路交通安全 | 私家车出行者 | 213 | DCE | 平均死亡风险降低1‱ | 36万元人民币 |
| Wang H[24] | 江苏丹阳市、贵州省六盘水市、 天津市 | 2000年 | 癌症预防 | 居民 | 838 | CV | 1种药能确保1年不患癌症 | 48.1⁓81.4万元 人民币 |
| 程启智[25] | 北方地区 | 2010年 | 劳动力市场 | 工人 | 863 | HC/CV | 工作危险性减少 一半 | 400⁓600 万元 人民币 |
| 刘文歌[26] | 辽宁省大连市 | 2011年 | 道路交通安全 | 私家车出行者 | 926 | CV | 每年致命风险降低2‱ | 59.8万元人民币 |
| 高婷[27] | 北京市 | 2014年 | 空气污染 | 居民 | 722 | CV | 死亡率降低1.5‱ | 66.7万⁓133.3万元人民币 |
| Yang Z[28] | 江苏省南京市 | 2014— 2015年 | 道路交通安全 | 居民 | 2 857 | DCE | 每年死亡人数减少到原来一半 | 718.440 6万元 人民币 |
| Hoffmann S[29] | 上海市、江西省九江市、广西壮族自治区南宁市 | 2006年 | 空气污染 | 居民 | 980 | CV | 每年死亡率风险降低5‱ | 147万元人民币 |
| Huang D S[30] | 北京市 | 2010年 | 空气污染 | 居民 | 475 | DCE | 10年内死亡风险降低2‰/1.5‰/1‰ | 524万元人民币 |
| Hammitt J K[31] | 四川省成都市 | 2016年 | 健康 | 18~70岁居民 | 2 048 | CV | 当年死亡风险降低3‱和5‱ | 55万美元 |
| Hao Y[32] | 74个城市 | 2016年 | 空气污染 | 居民 | 308 | CV | 未来10年死亡风险降低5%和10% | 153万元人民币 |
| Zheng Q K[33] | 浙江省杭州市 | 2017年 | 道路交通安全 | 居民 | 1 092 | CV | 每年死亡人数减少到原来2/5 | 439.99万元人民币 |
| 刘文歌[34] | 辽宁省大连市 | 2018年 | 道路交通安全 | 私家车出行者 | 324 | DCE | 平均死亡风险降低7‱ | 105.76万元人民币 |
| 刘文歌[35] | 辽宁省大连市 | 2018年 | 道路交通安全 | 私家车出行者 | 1 546 | CV | 未来10年死亡风险降低1‱ | 231.08万元人民币 |
| Jin Y[36] | 北京市 | 2016年 | 空气污染 | 居民 | 1 107 | DCE | 每年发病率和死亡率降低0.1‱ | 554万元人民币 |
| 彭菲[37] | 成渝地区 | 2018年 | 空气污染 | 居民 | 1 205 | CV | 降低5‰死亡率 | 394.8万元人民币 |
| 张羽[38] | 四川省成都市 | 2020年 | 建筑职业市场/新型冠状病毒感染疫情 | 建筑从业者/ 居民 | 536/571(分2种 风险进行调查) | CV | 降低0.5‱死亡率 | 429.472万元人民币/459.079万元人民币 |
| Cao C J[39] | 北京市、山西省晋中市、江苏省扬州市、江西省赣州市、广东省汕头市、吉林省四平市 | 2019年 | 空气污染 | ≥18岁居民 | 3936 | CV | 每年降低12/10万死亡风险 | 510万元人民币 |
), ArticleFig(id=1321170529680207916, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, language=EN, label=Tab.2, caption=
Maximum, minimum and median values of a statistical life (in tens of thousands of Chinese yuan adjusted to the consumer price index of 2021) associated with air pollution/traffic safety/occupational safety/health conditions estimated by different numbers of studies, the four hazard-specific median values of a statistical life estimated by different numbers of studies with stated/revealed preference, and the main common factors influencing the estimates
, figureFileSmall=null, figureFileBig=null, tableContent=
| 领域 | 合计 | | 陈述偏好研究 | | 显示偏好研究 | 共同影响因素 |
|---|
最大值 (万元) | 最小值 (万元) | 中位数 (万元) | 研究个数 | | 中位数 (万元) | 研究个数 | | 中位数 (万元) | 研究个数 |
|---|
| 空气污染 | 677.10 | 13.94 | 168.90 | 12 | | 182.56 | 11 | | 0 | 0 | 收入水平、教育程度、年龄、家庭规模、自我认知的身体健康状况 |
| 交通安全 | 808.99 | 44.14 | 98.57 | 9 | | 98.57 | 9 | | 0 | 0 | 收入水平、教育程度、年龄、认知风险程度 |
| 职业安全 | 752.54 | 59.48 | 499.60 | 6 | | 626.07 | 4 | | 155.30 | 2 | 收入水平、教育程度、年龄、认知风险程度、性别、婚姻状况 |
| 健康 | 463.21 | 103.38 | 403.30 | 3 | | 403.30 | 3 | | 0 | 0 | 收入水平、教育程度、年龄、风险变动 |
), ArticleFig(id=1321170529764093997, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1321170524386997248, language=CN, label=表2, caption=
不同研究领域和研究方法VSL估计值及支付意见主要影响因素
, figureFileSmall=null, figureFileBig=null, tableContent=
| 领域 | 合计 | | 陈述偏好研究 | | 显示偏好研究 | 共同影响因素 |
|---|
最大值 (万元) | 最小值 (万元) | 中位数 (万元) | 研究个数 | | 中位数 (万元) | 研究个数 | | 中位数 (万元) | 研究个数 |
|---|
| 空气污染 | 677.10 | 13.94 | 168.90 | 12 | | 182.56 | 11 | | 0 | 0 | 收入水平、教育程度、年龄、家庭规模、自我认知的身体健康状况 |
| 交通安全 | 808.99 | 44.14 | 98.57 | 9 | | 98.57 | 9 | | 0 | 0 | 收入水平、教育程度、年龄、认知风险程度 |
| 职业安全 | 752.54 | 59.48 | 499.60 | 6 | | 626.07 | 4 | | 155.30 | 2 | 收入水平、教育程度、年龄、认知风险程度、性别、婚姻状况 |
| 健康 | 463.21 | 103.38 | 403.30 | 3 | | 403.30 | 3 | | 0 | 0 | 收入水平、教育程度、年龄、风险变动 |
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