Climate change, large risks, small risks, and the value per statistical life

被引:0
作者
Anna Alberini
Milan Ščasný
机构
[1] University of Maryland,Institute of Economic Studies at Faculty of Social Sciences and The Environment Center
[2] Charles University,undefined
来源
Climatic Change | 2024年 / 177卷
关键词
Climate change; Heat waves; Health risks; Value per statistical life (VSL); Life-saving programs; Q51; Q54; Q58; K32;
D O I
暂无
中图分类号
学科分类号
摘要
We conduct a contingent valuation survey in Spain and the UK to elicit information about the Willingness to Pay (WTP) for heat wave watch and response programs. We find that people are willing to pay for such programs, and that the WTP (€ 50 for each of 10 years; 2019 PPP euro) is virtually the same across the two countries and across respondents that received two alternate presentations of the mortality risks with and without the programs. The responses to the WTP questions are internally consistent. Persons who re-assessed their own risks as “very high” after reading the questionnaire’s information about the health effects of excessive heat are prepared to pay more for these programs. These persons are in poor health and less highly educated, and thus an important priority for outreach and education efforts by heat wave watch and response programs. That people value saving lives during heat waves as important is confirmed by the results of person tradeoffs, which show that avoiding a fatality during heat waves is comparable to avoiding a cancer fatality, is slightly more valuable than an avoiding a cardiovascular fatality, and definitely more valuable than an avoided road traffic fatality. The Value per Statistical Life implied by the WTP for the programs is € 1.1 million to € 4.7 million (2019 PPP euro), depending on the size of the mortality risk reduction valued by the respondent, for an average of € 1.6 million.
引用
收藏
相关论文
共 130 条
[31]  
Carson RT(2009)Que podemos saber sobre el Valor Estadistico de la Vida en Espana utilizando datos laborales? Hacienda Publica Espanola 191 73-1694
[32]  
Groves T(2018)The income elasticity of global values of a statistical life: Stated preference evidence J Benefit Cost Anal 9 407-772
[33]  
Carthy T(2012)Mortality risk valuation in environment, health and transport policies OECD Publishing 5 1683-284
[34]  
Chilton S(2021)Evolving heat waves characteristics challenge heat warning system and prevention plans Int J Biometeorol 123 766-474
[35]  
Covey J(2015)Assessment of short- and long-term mortality displacement in heat-related deaths in Brisbane, Australia, 1996–2004 Environ Health Perspect 37 273-228
[36]  
Hopkins L(2017)Exploring differences between TTO and DCE in the valuation of health states Med Decis Making 179 457-4781
[37]  
Jones-Lee M(2013)Mortality Displacement as a Function of Heat Event Strength in 7 US Cities Am J Epidemiol 63 203-15
[38]  
Loomes G(2021)The value of statistical life in the context of road safety: new evidence on the contingent valuation/standard gamble chained approach J Risk Uncertain 9 4760-250
[39]  
Pidgeon N(2012)Valuation of Mortality Risks Attributable to Climate Change: Investigating the Effect of Survey Administration Modes on a VSL Int J Environ Res Public Health 52 3-482
[40]  
Spencer A(2007)A survey of public perception and response to heat warnings across four North American cities: An evaluation of municipal effectiveness Int J Biometeorol 8 226-154