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.     

Economic evaluation of healthcare technology improving the quality of social life: the case of assistive technology for the disabled and elderly

Public investments in healthcare technology for the disabled and elderly to improve the quality of social life have been vigorous, but the economic evaluation of the assistive technology is still lacking. Under this circumstance, the purpose of this study is to analyse the socio-economic value of developing assistive technologies with the potential to improve the quality of social life, especially for disabled and elderly individuals. Based on a survey of 400 respondents, the spike model, a special form of the contingent valuation method (CVM) is applied to assess the value of assistive technologies. In Korea, a household’s willingness-to-pay (WTP) for the development of assistive technologies is US$4.26 per year, on average, in the form of a government-levied tax; although many people express zero WTP for the development of these technologies, people with higher household savings, higher levels of education and higher levels of charity donations have a higher WTP for the development of assistive technology. We conclude that although assistive technologies have considerable economic value many people express zero WTP for the development of these technologies. Therefore, political and social educational efforts are necessary to reach social consensus on the government investment in such technologies.     

Complements, Substitutes, Budget Constraints and Valuation

This study employs a multi-program contingent valuation (CVM) design tosimultaneously assess the value of three ecosystem conservation programsin Alberta, Canada. The design is different from most other CVM designsand has several different features including the natural incorporation ofdirect reminders of substitute/complementary programs and budgetconstraints. In contrast to the findings of other studies, two of the environmentalprograms appear to be complements and other combinations of the programssuggest an absence of substitution effects. The multi-program model ismore informative and robust in terms of theoretical validity and expectedrelationships with demographic and recreational characteristics of therespondents.     

The effect of experience and quantity-based pricing on the valuation of a curbside recycling program

Quantity-based pricing for garbage collection services and recycling programs are becoming increasingly popular methods of meeting municipal solid waste diversion objectives. This article investigates household willingness to pay (WTP) for a pilot curbside recycling program (CRP) in the presence of a quantity-based pricing scheme for garbage collection services, which allows a household to alter their garbage container size at a reduced price. Unlike previous studies that have modeled the simultaneity of these household decisions as a two-step process, we jointly estimate the household's intentions using a full-information maximum-likelihood (FIML) approach. Our results show a strong positive correlation between a household's WTP for a CRP and its stated intention to reduce its garbage container size when a CRP is offered. The positive correlation suggests that WTP will be higher for households which are more likely to reduce their garbage container size. Thus, in the presence of quantity-based pricing, a household's WTP for recycling more fully reflects the marginal social costs of garbage disposal.     

Valuing climate protection through willingness to pay for biomass ethanol

This study uses a multi-part, split-sample contingent valuation method (CVM) and fair share (FS) survey to better understand the public's valuation of mitigating global climate change through its willingness to pay for biomass or “cellulosic” ethanol. In addition to a basic CVM question, a related scenario was developed that asked half of the survey respondents to state their fair share cost to lessen a potential food shortage in the next decade, also through the expanded use of cellulosic ethanol. Three alternative biomass feedstocks were assessed: farming residues, forestry residues and paper mill wastes, and municipal solid wastes. Overall a slightly larger proportion of respondents were WTP extra for cellulosic ethanol in the basic CVM scenario than in the FS scenario, though no significant differences were found in the WTP for the different feedstocks. Bid curve lognormal regression results for the two models were similar, supporting the idea that asking a FS rather than a conventional WTP question may be justifiable in some circumstances, such as in cases of a national emergency.     

A CONTINGENT VALUATION STUDY OF UNCERTAIN ENVIRONMENTAL GAINS

Acid deposition in a present and future cause of biodiversity losses in vulnerable upland areas of Scotland important for nature conservation. However, the exact nature of damages under the status quo, and both the timing and extent of recovery of upland ecosystems if deposition is reduced, are subject to uncertainty. this uncertainty complicates damages cost estimation. In this paper, we have explored the use of CVM to measure the willingness to pay (WTP) of the Scottish population for uncertain recovery/damage scenarios from reduced acid rain deposition. An optimally-designed referendum format was used utilising the distribution of open-ended bids from a pilot study to determine bid amounts and sampling size for each bid amount. Eight explanatory variables, including future damage level were selected in a non-linear step-wise regression analysis. Average household WTP for abatement of acid rain was £247 and £351 per year when faced with low and high future damage levels respectively. Recovery level and recovery time did not significantly influence WTP. When faced with risky outcomes regarding future damage and recovery level, respondent were found to be risk averse to both environmental gains and losses.     

Are Korean consumers willing to pay a tax for a mandatory BSE testing programme?

The outbreaks of mad cow disease (BSE) have significantly increased the demand for food safety programs in the Korean beef market. Two issues that are getting much attention are about whether Korea should implement mandatory testing of slaughtered domestic cattle for BSE and whether consumers are willing to pay a tax for the programme. No study, however, has examined consumers’ willingness to pay (WTP) a tax for a BSE testing programme. We conducted a contingent valuation (CV) study using a double-bounded dichotomous choice approach to estimate Korean consumers’ valuation for a mandatory BSE testing programme on slaughtered domestic cattle that are 21 months or older. Our results show that the sample-population adjusted mean estimate of WTP a tax per year is 4482 KRW (US $4.01) per household. This suggests that Korean consumers have a strong preference for a mandatory testing of domestic cattle for BSE. This study also found that Korean consumers’ WTP for the programme is greater than estimated implementation costs of the programme. These results imply that implementing a mandatory BSE testing programme in Korea could confer positive consumer welfare.     

Willingness to pay for a clear night sky: use of the contingent valuation method

This article applies the Contingent Valuation Method (CVM) to the issue of night sky pollution. Light pollution decreases the ability to view a clear, unobstructed night sky. We administered a survey to the students of the Rochester Institute of Technology (RIT) to obtain estimates of Willingness To Pay (WTP) to improve night sky visibility and to prevent deterioration in visibility. This is the first CVM study that attempts to distinguish between these different WTPs. We find that students are willing to pay significantly more for a larger improvement in night sky conditions. We also find significant differences in WTP to improve versus prevent deterioration in night sky conditions.     

Income Treatment Effects in Contingent Valuation: The Case of the Swedish Predator Policy

This paper provides case study evidence on two relevant issues in estimating the relationship between WTP and income using contingent valuation: (1) the choice of income measure; and (2) the modelling choice. Addressing these issues, a sensitivity analysis is performed on a dataset concerning implementation of the Swedish predator policy. The results show that the estimated income-elasticity of WTP varies between 0.12 and 0.40 for the models estimated. The main conclusion drawn from the analysis is that controlling for the number of adults in the household is important for finding a significant income effect, when the household income measure is used. Besides this finding the empirical analysis finds little support for the hypothesis that the choice of income measure and modelling assumptions significantly influence the overall model fit.     

Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development

In order to reduce future dependence on foreign oil and emissions of CO₂, how much would US households be willing to pay annually to support increased energy research and development (R&D) activities designed to replace fossil fuels? Does it matter whether the R&D includes nuclear energy options? We explore these questions using data from a unique set of national telephone and Internet surveys. Using a national advisory referendum format, the contingent valuation method is applied to estimate annual household willingness-to-pay (WTP) for US household support of a national Energy Research and Development Fund (ERDF) for investments in energy sources not reliant on fossil fuels. While accounting for the level of (un)certainty in voting responses, the WTP modeling includes a comparison of both classic maximum likelihood estimation (MLE) and Bayesian analysis. Evidence indicates that MLE and Bayesian analysis achieve similar statistical inference, while the Bayesian analysis provides a narrower confidence interval around estimated WTP.     

Cognitive ability and scale bias in the contingent valuation method

This study investigates whether or not the scale bias found in contingent valuation (CVM) studies on mortality risk reductions is a result of cognitive constraints among respondents. Scale bias refers to insensitivity and non-near-proportionality of the respondents’ willingness to pay (WTP) to the size of the risk reduction. Two hundred Swedish students participated in an experiment in which their cognitive ability was tested before they took part in a CVM-study asking them about their WTP to reduce bus-mortality risk. The results imply that WTP answers from respondents with a higher cognitive ability are less flawed by scale bias.     

Public-good valuation and intra-family allocation

I derive values of marginal changes in a public good for two-person households, measured alternatively by household member i’s willingness to pay (WTP) for the good on behalf of the household, WTP _i (H), or by the sum of individual WTP values across family members, WTP(C). Households are assumed to allocate their resources in efficient Nash bargains over private and common household goods. WTP _i (H) is then defined by trade-offs between the public good and the household good, and WTP(C) by trade-offs of between the public good and private goods. WTP _i (H) is found to be higher (lower) than WTP(C) when member i has a relatively high (low) marginal valuation of the public good, but tends on average to equal WTP(C). As a consequence, individuals tend to represent households correctly on average when questioned about the household’s WTP for a public good, even when they are purely selfish and answer truthfully. Adding all members’ WTP answers on behalf of the household then leads to double counting. Pure and paternalistic altruism (the latter attached to consumption of the public good) move each member’s WTP on behalf of the household closer to the true sum of individual WTP, but only paternalistic altruism raises this sum.      

调查评价法在非景区型森林景观价值评估中的应用

针对非景区型森林景观具有公共物品的特性,运用调查评价法评估其经济价值。在星子县大排岭瓷土矿区森林景观价值评估中,477个样本的人均支付意愿为66.86元,以白鹿镇人口为基数,计算大排岭矿区森林景观的总价值为1 671 834元。在支付意愿相关性分析中发现:收入与支付意愿中度相关(r=0.64,p<0.01),职业、学历与支付意愿低度相关(r=0.352&0.367,p<0.01),年龄、性别与支付意愿不相关。     

流域生态补偿支付意愿的影响因素分析——以湘江流域长沙段为例

以湘江流域长沙段为例,运用结构方程模型和CVM调查数据对流域生态补偿支付意愿的影响因素进行分析。研究发现,以＂外部特征＂、＂现状评价＂、＂心理特征＂取代传统研究的＂个人社会经济特征＂作为＂支付意愿＂的主要影响因素更具全面性和解释力;运用结构方程模型比传统回归模型分析更具整体建构性和优越性;居民的支付意愿不仅取决于外部条件和现实能力,也取决于居民的心理特征。     

Asking for Individual or Household Willingness to Pay for Environmental Goods?

The aggregate welfare measure for a change in the provision of a public good derived from a contingent valuation (CV) survey will be higher if the same elicited mean willingness to pay (WTP) is added up over individuals rather than households. A trivial fact, however, once respondents are part of multi-person households, it becomes almost impossible to elicit an “uncontaminated” WTP measure that with some degree of confidence can be aggregated over one or the other response unit. The literature is mostly silent about which response unit to use in WTP questions, and in some CV studies it is even unclear which type has actually been applied. We test for differences between individual and household WTP in a novel, web-administered, split-sample CV survey asking WTP for preserving biodiversity in old-growth forests in Norway. Two samples are asked both types of questions, but in reverse order, followed by a question with an item battery trying to reveal why WTP may differ. We find in a test between samples that the WTP respondents state on behalf of their households is not significantly different from their individual WTP. However, within the same sample, household WTP is significantly higher than individual WTP; in particular if respondents are asked to state individual before household WTP. Our results suggest that using individual WTP as the response unit may overestimate aggregate WTP. Thus, the choice of response format needs to be explicitly and carefully addressed in CV questionnaire design and further research in order to avoid the risk of unprofitable projects passing the benefit-cost test.

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CVM Embedding Effects When There Are Active, Potentially Active and Passive Users of Environmental Goods

Embedding is said to occur when thewillingness-to-pay (WTP) values for a gooddiffer according to whether the good is valuedon its own or as part of a package of goods. Itcan manifest itself as a question order orsequencing effect whereby the WTP for a gooddepends upon the order in which contingentvaluation questions are asked. Usingsplit-sample data from different questionorderings of a survey administered to a generalpopulation, the willingness-to-pay values forimprovements to three recreational activities(swimming, fishing, and boating in HamiltonHarbour, Ontario, Canada) are estimated. Respondents are divided into three types ofuser groups: active users, potentially activeusers, and passive users. The paper thenexamines the extent to which embedding in theform of different question sequences affectseach of these three user types. Severalarguments are put forward to suggest whypassive users might be more susceptible toquestion order than active users. The resultssupport the hypothesis that order effects arelikely to be larger for passive users and alsoshow that potentially active users may beaffected by question order to a greater extentthan active users. This highlights theimportance of considering context when usingmultiple-question CVM to value passive usegoods.     

Public willingness to pay for endocrine disrupting chemicals-free labelling policy in Korea

As public interest in health and safety grows, endocrine disrupting chemicals (EDC) have become an inevitable problem in society. One way to reduce the social cost of exposure to EDC is to grant a label certification to eco-friendly products that do not release EDC. The Korean government is considering introducing an EDC-free labelling policy. Therefore, our article tries to examine the public willingness to pay (WTP) for implementing the EDC-free labelling policy in Korea. For this purpose, a contingent valuation survey of 1000 Korean consumers was conducted in 2016. We used a one-and-one-half-bounded dichotomous choice question to elicit the WTP responses from the respondents. The mean of household WTP for the EDC-free labelling policy implementation is estimated to be KRW 2266 (USD 2.05) per year. When we expand the value to the whole country, it amounts to KRW 42.9 billion (USD 38.8 million) per year. These values are statistically meaningful at the 1% level and imply that the EDC-free labelling policy contributes to households’ utility and should be implemented immediately.     

The Value of Household Water Service Quality in Lahore,Pakistan

Most existing literature focuses on the benefits of establishing basic drinking water access for unserved populations, the extensive water supply margin. In contrast, this article examines the intensive margin—the benefits of improving water service to under-served households, a growing population in developing country cities. We use contingent valuation to estimate willingness to pay (WTP) for improved piped water quality and reductions in supply interruptions among a sample of 193 households in Lahore, Pakistan. The distribution of WTP is described using parametric and non-parametric models. Results indicate that households in Lahore are willing to pay about 7.50 to7.50 to 9 per month for piped water supply that is clean and drinkable directly from the tap—comparable to the monthly cost of in-home water treatment, and about three to four times the average monthly water bill for sample households using piped water. Estimates of WTP for reducing supply interruptions are both smaller and more difficult to interpret, since a significant fraction of the estimated WTP distribution for supply improvements is negative. All of our WTP estimates are well below 4% of monthly household income, the World Bank’s benchmark upper bound for affordable water service.     

Preference Structures, Property Rights, and Paired Comparisons

The method of paired comparisons was used to determine the structure of survey participants' value expressions for Australian native forests. The same participants were also surveyed using the contingent valuation method (CVM). Data from the paired comparisons were used to construct preference maps which enabled identification of participants whose value expressions were structurally incompatible with economic welfare theory – in particular, those participants who expressed their values according to lexicographic preferences. For some of these participants, CVM results did not provide appropriate measures of WTP. The surveys also demonstrated the importance of allowing participants' own views on property rights to dictate the valuation context offered.     

农户对可持续农业技术采用意愿分析

农户采用可持续农业技术受到多种因素的影响.经验分析表明,显著影响因素有农场特征、家庭特征、制度变量等.本文采用意愿调查法进行了水稻生产者对环境和健康的支付意愿调查分析.结果表明,当前影响农民采用可持续农业技术意愿的因素有年龄、教育程度、家中老人个数和信息来源等.