Economic Valuation of Environmental Damages due to the Prestige Oil Spill in Spain

This paper presents a parametric and non-parametric analysis of data from a contingent valuation study (CVM) conducted to estimate environmental use and passive use losses due to the Prestige oil spill. This is the first CVM study conducted in Europe after a large oil spill. The CVM survey was implemented using in person interviews. Mean willingness to pay (WTP) values were computed with both, a parametric and non-parametric approach. Parametric WTP estimation indicates that respondents in the sample are willing to pay about 40.51 € per household to avoid a similar future oil spill in Spain. This implies that on average, the Spanish society places a value of the environmental losses caused by the Prestige oil spill around 574 € million. Non-parametric estimates are slightly higher at 58.08 € per household. WTP results are similar to those obtained in the Exxon Valdez study.     

Pricing Lives: International Guideposts for Safety

Government agencies throughout the world use the value of a statistical life (VSL) to monetise the mortality risk reduction benefits of government policies. The most reliable empirical estimates of the VSL using US labour market data are about US$10 million (year 2015 US dollars). Based on international estimates of the income elasticity of the VSL, one can transfer these values to other countries, leading to my VSL estimate for Australia of US$7.9 million, or A$10.0 million, which is over double the current Australia best‐practices value. Transferring US VSL estimates to other nations after accounting for income differences will boost global VSL estimates. Potential refinements of the VSL based on age and income are also feasible. The VSL could serve a pivotal role in promoting safety by valuing lives in litigation contexts, regulatory sanctions, and corporate risk analyses.     

A Mixed Logit Approach to Study Preferences for Safety on Alpine Roads

This paper presents a mixed logit approach to the valuation of reductions in mortality risk on Alpine roads. In addition to common road accidents, users of these roads face risks from natural hazards such as avalanches and rockfalls. Moreover, the individual risk of road users varies with the frequency of their exposure. Drawing on choice experimental data of frequently exposed respondents from a mountainous region and less frequently exposed respondents from a city in Switzerland, we are able to estimate the value of statistical life (VSL). Furthermore, we explore how respondents differ in their individual willingness-to-pay depending on exposure and other individual characteristics. Our estimates of the VSL in the context of fatal accidents on Alpine roads are in the range of CHF 6.0–7.8 million (€3.9–5.1 million). We find the VSL to be dependent on socio-economic and perceptional factors but to be not significantly altered by the type of hazard. These findings imply that the VSL might be adjusted to account for heterogonous risk preferences of different societal groups, but there is no evidence of a ‘dread’ premium for natural hazards.     

Valuing Mortality Risk in Kuwait: Stated-Preference with a New Consistency Test

We report stated-preference estimates of the value per statistical life (VSL) for Kuwaiti citizens obtained using an innovative test to identify respondents whose survey responses are consistent with economic theory. The consistency test requires that an individual report strictly positive willingness to pay (WTP) for mortality-risk reduction and that his responses to binary-choice valuation questions for two risk reductions be consistent with the theoretical requirement that WTP is less than but close to proportional to the change in risk reduction. Our estimates of VSL, $18–32 million, are approximately two to four times larger than values accepted for the United States. These values may reflect cultural factors as well as the substantially larger disposable income of Kuwaiti citizens.     

Context and the VSL: Evidence from a Stated Preference Study in Italy and the Czech Republic

We report on the results of a survey based on conjoint choice experiments that was specifically designed to investigate the effect of context on the Value of a Statistical Life (VSL), an important input into the calculation of the mortality benefits of environmental policies that reduce premature mortality. We define “context” broadly to include (1) the cause of death (respiratory illness, cancer, road traffic accident), (2) the beneficiary of the risk reduction (adult v. child), and (3) the mode of provision of the risk reduction (public program v. private good). The survey was conducted following similar protocols in Italy and the Czech Republic. When do not distinguish for the cause of death, child and adult VSL are not significantly different from one another in Italy, and the difference is weak in the Czech sample. When we distinguish for the cause of death, we find that child and adult VSLs are different at the 1% level for respiratory illnesses and road-traffic accidents, but do not differ for cancer risks. We find evidence of a “cancer premium” and a “public program premium.” In both countries, the marginal utility of income is about 20% lower among wealthier people, which makes the VSL about 20% higher among respondents with incomes above the sample average. The discount rate implicit in people’s choices is effectively zero. We conclude that there is heterogeneity in the VSL, and that such heterogeneity is primarily driven by risk characteristics mode of delivery of the risk reduction, and income, while other individual characteristics of the respondent (e.g., age and education) are less important. For the most part, our results are in agreement with environmental policy analyses that use the same VSL for children and adults, and that apply a cancer premium.     

Value of a Statistical Life—the Case of Poland

This study investigates the relationship between wages and the risk of work-related death for male blue-collar workers. The size of the premium for risk and its statistical significance depend heavily on the inclusion of industry dummy variables into the regression. Irrespective of the type of risk variable used, controlling for industry at a finer breakdown lowers the price of risk and its statistical significance. Estimates of the value of a statistical life (VSL) proved to be more robust when an aggregated risk measure at three-digit occupational level was used. In this case, the VSL varied from 0.79 million USD (for the model with industry dummy variables at the three-digit level) to 2.41 million USD (for the model without industry dummy variables). To the best of the author’s knowledge, this is the first study estimating VSL using the compensating wage differential approach for countries in Central-Eastern Europe.     

Willingness to pay for improving fatality risks and asthma symptoms: Values for children and adults of all ages

We examine effects of age on valuation of mortality and morbidity risks using a two-stage contingent valuation survey and a sample including parents of children aged 4–17 years and adults aged 18–92. The survey used a hypothetical improved asthma therapy to elicit (1) tradeoffs between asthma control and fatality risk, (2) willingness to pay (WTP) for reduced fatality risk, and (3) WTP for asthma control. The mean value of statistical life (VSL) at average age is $3.8M, but age affects VSL and nonlinearly. Estimated VSL is highest at age four ($14.1M), falls until age 30 ($3.7M), rises until age 66 ($6.7M), and then falls to $1.5M by age 92. Results from the wide age range considered may partly reconcile apparently conflicting results from previous studies focused on narrower age ranges. The value of asthma control is not as strongly related to age as VSL and ranges from $1700 to $4000 annually.     

The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model

This paper presents the first value of statistical life (VSL) meta-analysis that empirically estimates correction factors for ‘out of context’ benefits transfer (BT) purposes. In the field of mortality risk reductions elicited willingness to pay values in one risk context, say road safety, are frequently applied in other risk contexts like air pollution. However, differences in risk perception and the population at risk across contexts are likely to result in diverging VSL estimates. In a meta-analysis of 26 international stated preference studies, a Bayesian model is estimated regressing contingent values for mortality risk reductions, originating from three different risk contexts, on the characteristics of the risk reduction itself and additional variables characterizing the underlying studies. A willingness to pay (WTP) premium for mortality risk reductions in the air pollution and general mortality risk context relative to improving road safety is observed. Evaluated at the mean, road safety VSL estimates should be multiplied by a factor 1.8 before being applicable in the air pollution context. Moreover, in an illustrative BT exercise we find limited overlap in the set of context specific predictive VSL distributions. Consequently, ‘out of context’ BT results in a substantial over- or underestimation of the VSL.     

The effect of health improvements due to tobacco control on earnings in the United States

There is minimal evidence causally estimating the relationship between tobacco tax policy, population health and earnings. This article uses state tobacco taxes as an instrument for life expectancy to estimate the effect on earnings per capita in a panel of almost 3000 counties in the United States over the period 1970 to 2000. In the first stage of the model, we find that a one dollar increase in state tobacco taxes significantly increases life expectancy between 1.9% and 2.1%. Despite showing that tobacco tax is correlated with higher life expectancy and that, theoretically, improvements in health from reductions in smoking should lead to increased earnings, we find an insignificant impact of the induced gains in life expectancy from tobacco policy on county level earnings per capita over the period 1970 to 2000. The lack of significance is explained through local average treatment effects and the smaller economic impact of certain policies that impact health later in life. These results provide further evidence that the most effective interventions for improving income later in life are policy interventions with a direct impact on the health of younger cohorts rather than older cohorts.     

Use of Contingent Valuation to Elicit Willingness-to-Pay for the Benefits of Developmental Health Risk Reductions

We report the results of several contingent valuation (CV) surveys to elicit willingness-to-pay values from the general public for risk reductions associated with decreases in exposure to a chemical, PCBs, in the environment. We also develop Quality Adjusted Life Years (QALYs) from the survey using both standard gamble and time-tradeoff elicitation methods to explore the relationship between QALYs and willingness-to-pay (WTP), and to develop QALY weights for subtle developmental effects. The results of the CV surveys are designed for incorporation into a case study of an integrated risk model to monetize the benefits of predicted risk reductions. Respondents showed a nearly proportional, positive relationship between decreasing the risk of a 6-point reduction in IQ (a standard measure of “intelligence”) and WTP, but showed a negative relationship between risk reduction and WTP for reading comprehension as an outcome. The range of mortality risks that respondents would accept on behalf of their (hypothetical) 10-year-old child is 2 in 10,000 to 9 in 1,000 per IQ point, and WTP per IQ point is $466 ($380, $520). QALY weights elicited via time tradeoff (reduction in life expectancy) were significantly different from QALY weights elicited via a standard gamble (p = 0.001). Respondents who answered questions about ecological endpoints first were willing to pay a small additional amount when asked about human health effects, but those respondents who answered questions about human health endpoints first were not willing to pay any additional amount when subsequently asked about ecological effects. This paper has not been submitted elsewhere in identical or similar form, nor will it be during the first three months after its submission to the Publisher.     

Demographic links to savings in life cycle models: identification of issues for LDCs

The author considers the potential for a link between the recent pattern of demographic transition and intertemporal and inter-country variations in savings rates. Fertility, infant mortality, life expectancy, and levels of female and child labor force participation are among the various demographic factors which affect national savings rates through their effects upon age structure, age-specific individual savings behavior, and their general equilibrium effects upon interest rates, wage rates, and income distribution. The author establishes a simple discrete time life cycle model of savings, explains the issues related to age structure, and discusses the effect of age-specific savings functions, the general equilibrium effects of demographic factors, the effects of life expectancies and child mortalities, and the nature of social security coverages in less developed countries, as well as issues which are especially important for less developed countries. A new strategy for empirically evaluating demographic policies is proposed. That is, one can estimate the age profile of earnings, saving and fertility rates from household survey data. The life tables can then be used to compute the aggregate savings rate and population size. Any demographic policy which affects the fertility rate, life expectancy, and investment in the quality of children will change the aggregate saving and population growth rates. These two aggregate effects could be compared to evaluate demographic policies. The author stresses, however, that changes in different demographic factors will have different short-run and long-run effects upon the savings rate which will also depend upon whether such changes are transitory or permanent.     

Using job changes to evaluate the bias of value of a statistical life estimates

This paper presents a new approach to obtaining unbiased estimates of the value of a statistical life (VSL) with labor market data. Investigating job changes, we combine the advantages of recent panel studies, allowing us to control for unobserved heterogeneity of workers, and conventional cross-sectional estimations, which are less affected by measurement error. We find a VSL of 6.1 million euros from pooled cross-sectional estimation, 1.5 million euros from the first-differences panel model and 2.0 million euros from the job-changer specification. Thus, ignoring individual heterogeneity causes overestimates of the VSL, whereas the attenuation bias in panel data models leads to underestimates of the VSL. Our results are less biased than former results and can be used to perform cost–benefit analyses of public projects aimed at reducing fatality risks, e.g., in the domains of environmental, health, or traffic policy.     

Willingness to pay for other species' well-being

Benefit-cost analysis of environmental policies typically focuses on benefits to human health and well-being. For other species, economists have attempted to measure human WTP for changes in the numbers of individuals for different types of wildlife, and to preserve biodiversity. When it comes to humans' WTP for improvements in the quality-of-life for other species, however, the evidence is limited. Morbidity and quality-of-life considerations may be particularly important to the task of valuing non-fatal harm to wildlife in the wake of an environmental disaster. We argue that the other species morbidity-reduction component of WTP should be calculated net of any “outrage” component associated with the cause of the harm. This net WTP is likely to be correlated with the premium that people are willing to pay for chicken products from birds for which the quality-of-life has been enhanced by improved animal welfare measures. This paper uses a conjoint choice stated preference survey to reveal the nature of systematic heterogeneity in preferences for “humanely raised” versus “conventionally raised” chicken. We also use latent class analysis to distinguish between two classes of people—those who are willing to pay a premium for humanely raised chicken, and those who are not.     

城市农民工生命统计价值研究： 基于改进的特征工资模型 ——来自上海的证据

本文在回顾国内外生命价值理论和实证的基础上，利用2009年和2012年上海农民工调查数据，采用特征工资模型对样本农民工的生命价值进行了估算，结果显示行业的伤亡风险对工资率有显著影响，改进模型比经典模型更适合生命价值的评估。基于改进模型得到的城镇农民工平均生命价值为93656万元，比基于经典模型估算的结果要高，原因在于经典模型中遗漏了消费这一重要变量。对年龄分段进行回归分析发现，生命价值与年龄的关系呈倒U型，在46岁~50岁达到最大，并且消费显著提高了老年人的生命价值，其隐含的政策含义对于中国死亡赔偿、生产安全、环境和健康政策的效益评估具有重要的参考价值。     

Giving Stated Preference Respondents “Time to Think”: Results From Four Countries

Previous studies have found that contingent valuation (CV) respondents who are given overnight to reflect on a CV scenario have 30–40% lower average willingness-to-pay (WTP) than respondents who are interviewed in a single session. This “time to think” (TTT) effect could explain much of the gap between real and hypothetical WTP observed in experimental studies. Yet giving time to think is still rare in binary or multinomial discrete choice studies. We review the literature on increasing survey respondents’ opportunities to reflect on their answers and synthesize results from parallel TTT studies on private vaccine demand in four countries. Across all four countries, we find robust and consistent evidence from both raw data and multivariate models for a TTT effect: giving respondents overnight to think reduced the probability that a respondent said he or she would buy the hypothetical vaccines. Average WTP fell approximately 40%. Respondents with time to think were also more certain of their answers, and a majority said they used the opportunity to consult with their spouse or family. We conclude with a discussion of why researchers might be hesitant to adopt the TTT methodology.     

Willingness to pay to control PM2.5 pollution in Jing-Jin-Ji Region,China

This letter aims to study individual willingness to pay (WTP) to mitigate PM_2.5 pollution in the Jing-Jin-Ji region by using contingent valuation method. Our survey indicated that residents in this region were highly concerned about PM_2.5 pollution control and supported PM_2.5 pollution control policies. In this study, a payment card (PC) format is used to elicit residents’ perceived WTP. With a two-part model, we estimate the mean WTP for an 80% reduction of severe PM_2.5 polluting days in this region is 602 CNY a year, approximately accounts for 1% of the GDP per capita. This result indicates an important funding source for the government to control PM_2.5 pollution in the region. In the econometric analysis, the mean WTP is found to significantly relate with income, expense, age and education level. It decreases with income, age and educational level, but increases with expense, and it is higher for females, people who have children, own cars and apartments but lower for those having larger families. By comparing with relevant researches, this letter indicates a strong and ever-increasing WTP for air pollution control among residents in the Jing-Jin-Ji region, China.     

Willingness to pay for improved air quality in Sweden

The aim of the paper is to quantify individual willingness-to-pay measures of improved air quality in Sweden by using the Contingent Valuation Method (CVM). Such measures are important for policy makers when deciding about public investments and policy instruments in order to regulate environmental impacts, e.g. from road transportation and industry. The mean willingness to pay (WTP) for a 50% reduction of harmful substances where the respondents live and work was about 2000 SEK/year, which is of the same order of magnitude as earlier stated preference studies in Nordic countries. Most parameters in the econometric analysis had the expected sign. WTP was increasing in income, wealth and education; it was larger for men, members of environmental organizations, people living in big cities (which are on average more polluted), and people who own their house or apartment. It was lower for retired people. However, the additional WTP for people in big cities, although significantly higher than for other people, was lower than expected, indicating a possible insensitivity-to-scope effect.     

中国分城镇乡村人口平均预期寿命探析

利用人口普查和人口调查资料,通过生命表的Logit模型估计了2009年全国城镇乡村的人口平均预期寿命,给出了部分普查年份按城乡分年龄性别的预期寿命。分析了近30年来中国平均预期寿命的变化特点,并同发达国家进行了对比分析。其结果可反映中国平均预期寿命的增长趋势,对未来人口发展预测也有一定的参考价值。     

Willingness to Pay for Ancillary Benefits of Climate Change Mitigation

Assessing the Willingness to Pay (WTP) of the general public for climate change mitigation programmes enables governments to understand how much taxpayers are willing to support the implementation of such programs. This paper contributes to the literature on the WTP for climate change mitigation programmes by investigating, in addition to global benefits, the ancillary benefits of climate change mitigation. It does so by considering local and personal benefits arising from climate change policies. The Contingent Valuation Method is used to elicit the WTP for ancillary and global benefits of climate mitigation policies in the Basque Country, Spain. Results show that WTP estimates are 53–73% higher when ancillary benefits are considered.