Environmental impact of polluted city canals — a case study from Colombo,Sri Lanka

The city canal of Colombo, an effluent canal running through the city, was monitored for its nitrogeneous species and toxic trace metal contents. The canal is the dumping ground for municipal garbage, human and animal excreta, organic waste matter, etc. However, nitrate content of the canal water remains low, indicating an incomplete nitrification process. Due to the existing pH and redox conditions, the nitrogen species are present in a chemically reduced form. Since the Pb, Cd, and Zn contents of the canal water are high, industrial contamination is obvious. The environmental impact of such a polluted canal is enhanced by the presence of a large number of drinking water wells in the vicinity of the canal.     

Users’ acceptance of private automated vehicles: A systematic review and meta-analysis

Introduction: This research systematically reviewed relevant studies on users’ acceptance of conditional (Level 3) to full (Level 5) automated vehicles when such vehicles are to be used privately (herein referred to as ‘private automated vehicles or private AVs). Method: The search followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, and was undertaken in three databases: APA PsycINFO, Transport Research International Documentation, and Web of Science. Articles were required to focus on individuals’ acceptance of private SAE Level 3–5 AVs. Acceptance was defined as individuals’ attitudes towards or intentions and/or willingness to use AVs in the future. A total of 2,354 articles were identified in the database search. Thirty-five articles were included in the review, six of which included multiple studies and/or comparison groups. Results: Most studies (n = 31) applied self-reported measures to assess user acceptance together with a range of psychosocial factors predicting such acceptance. The meta-analytic correlations revealed that perceived behavioral control, perceived benefits/usefulness, perceived ease of use, and subjective/social norms had significant positive pooled relationships with attitudes and intentions. Trust and sensation seeking also had significant positive pooled correlations with intentions, while knowledge of AVs had a significant and negative pooled correlation with intentions. Age did not show any significant pooled relationship with attitudes, intentions, or willingness. Conclusions: The findings obtained from the systematic review and meta-analysis provide support for psychosocial models to aid understanding of users’ acceptance of private AVs. Practical applications: Examining acceptance of AVs after participants have experienced these vehicles on closed tracks or open roads would advance contemporary knowledge of users’ intentions to use these vehicles in the future. Further, experiencing these vehicles firsthand may also help with addressing any perceived barriers reducing acceptance of future use of private AVs.     

造纸污泥综合利用热电项目验收监测难点及对策

近年来,随着环境监测技术规范化建设的不断发展,国家环保部相继出台了包括火力发电、水泥制造、汽车制造、造纸工业在内的12个不同行业类型的建设项目竣工验收技术规范。然而,造纸污泥综合利用热电项目验收监测尚未列入规范编制日程,其中工程调查、标准制定、点位布设和报告编制等环节仍存在一定误区和难点。文章例从上述薄弱环节入手,对常见难点问题提出了相应的解决办法．可供广大环境监测工作者参考和借鉴。     

Bridging the gap between the field and the lab: Environmental goods, policy maker input, and consequentiality

This paper explores the criterion validity of stated preference methods through experimental referenda that capture key characteristics of a stated preference survey for a proposed environmental program. In particular, we investigate whether advisory referenda, where participant votes have either known or unknown weight in the policy decision, can elicit values comparable to that of a standard, incentive-compatible referendum. When participants regard their votes as consequential, our results suggest there is no elicitation bias with advisory referenda. For advisory referenda where participants view their votes as inconsequential, and for purely hypothetical referenda, we observe elicitation bias.     

The social cost of carbon revisited

An estimate of the social cost of carbon (SCC) is crucial to climate policy. But how should we estimate the SCC? A common approach uses an integrated assessment model (IAM) to simulate time paths for the atmospheric CO₂ concentration, its impact on temperature, and resulting reductions in GDP. I have argued that IAMs have deficiencies that make them poorly suited for this job, but what is the alternative? I present an approach to estimating an average SCC, which I argue can be a useful guide for policy. I rely on a survey of experts to elicit opinions regarding (1) probabilities of alternative economic outcomes of climate change, but not the causes of those outcomes; and (2) the reduction in emissions required to avert an extreme outcome, i.e., a large climate-induced reduction in GDP. The average SCC is the ratio of the present value of lost GDP from an extreme outcome to the total emission reduction needed to avert that outcome. I discuss the survey instrument, explain how experts were identified, and present results. I obtain SCC estimates of $200/mt or higher, but the variation across experts is large. Trimming outliers and focusing on experts who expressed a high degree of confidence in their answers yields lower SCCs, $80 to $100/mt, but still well above the IAM-based estimates used by the U.S. government.     

Willingness to pay for clean air in China

We use a residential sorting model incorporating migration disutility to recover the implicit value of clean air in China. The model is estimated using China Population Census Data along with PM2.5 satellite data. Our study provides new evidence on the willingness to pay for air quality improvements in developing countries and is the first application of an equilibrium sorting model to the valuation of non-market amenities in China. We employ two instrumental variables based on coal-fired electricity generation and wind direction to address the endogeneity of local air pollution. Results suggest important differences between the residential sorting model and a conventional hedonic model, highlighting the role of moving costs and the discreteness of the choice set. Our sorting results indicate that the economic value of air quality improvement associated with a one-unit decline in PM2.5 concentration is up to $8.83 billion for all Chinese households in 2005.     

Air quality assessment by contingent valuation in Ji'nan, China

Along with urbanization and environmental deterioration within China, many residents' desire for improved air quality has increased. To address this topic, this study focuses on the relationship between poor air quality and residents' willingness to pay for improved air quality in the city of Ji'nan. As a means of quantifying an individual's willingness to pay (WTP) for improved air quality, a contingent valuation method (CVM) was employed. A sample of 1500 residents was chosen, based on the stratified sampling method. The respondents' WTP was then elicited through a series of face-to-face interviews, conducted using a range of hypothetical, open-ended scenario questions. The results showed that 59.7% of respondents were able to express a positive WTP, and that the average WTP was 100 Chinese Yuan (CNY) per person, per year. In order to establish the relationship between endogenous variables and WTP, both a Probit model on the probability of a positive WTP, and a stepwise regression model were constructed. Most parameters in the econometric analysis demonstrated the expected results. It was found that annual household income, expenditure on the treatment of respiratory diseases and workers in the family significantly influenced WTP. The rates of positive WTP and the monetary amount were also larger for men than for women. Unlike developed countries, most respondents regard air quality improvement as a government responsibility in that more than 40% of respondents had no incentive to bear the costs of attempting to achieve better air quality, indicating a relatively low environmental consciousness.     

On the value of large predators in Sweden: a regional stratified contingent valuation analysis

This paper contributes with an applied policy analysis of the predator preservation policy in Sweden. We estimate the overall mean willingness to pay (WTP) for preserving the four large predators in the Swedish fauna by applying the contingent valuation method. Using survey data from 2004 we find that 50 percent of the Swedish population is willing to contribute financially toward implementation of the predator policy package, and that the estimated overall mean WTP is approximately SEK 290. Further, we test for spatial differences in attitudes and WTP and find that respondents in Stockholm have the highest overall mean WTP, while respondents living in wolf-territories have the lowest. Our mean WTP measure is flawed with upward bias, since we cannot estimate the willingness to accept for those with clearly negative preferences regarding the predator policy package (e.g. hunters). In this paper, we set their WTP equal to zero. Thus, we cannot rule out the possibility that the mean willingness to pay is, in fact, negative, i.e. the social-value of implementing the predator policy is negative. Finally, the estimates of the overall WTP are sensitive to response-uncertainty. When the respondents indicate uncertainty about their valuation, they tend to state higher values.     

Three reasons to use annual payments in contingent valuation surveys: Convergent validity,discount rates,and mental accounting

We present three arguments for using ongoing annual payments in contingent valuation (CV) surveys that estimate the benefit of a long-lasting environmental improvement. First, by matching the duration of the payments with the duration of the environmental benefits, survey respondents are spared from performing complicated present value calculations. Second, willingness to pay (WTP) estimates from CV surveys that include ongoing annual payments best match WTP estimates obtained using travel cost surveys. Third, respondents are less likely to face binding mental budget constraints with ongoing annual payments than with a larger one-time payment. In addition, respondents’ discount rates may be estimated by collecting non-hypothetical, individual time preference data as part of the valuation survey.     

Demand for environmental quality information and household response: Evidence from well-water arsenic testing

Access to information about environmental quality may facilitate low-cost preventive measures that protect human health. In this paper, we study the demand for information about environmental quality and the behavioral response to the information provided. With a field experiment conducted in Bihar (India), we estimate the price sensitivity of demand for diagnostic testing of drinking water wells for arsenic of natural origin – a serious threat to the health of tens of millions of villagers across South and Southeast Asia. Demand is substantial but sensitive to price; uptake falls from 68% to 31% of households over our price range (Rs. 10 to Rs. 50). We further assess how households respond to information regarding the contamination level in their wells. About one-third of households with unsafe wells switch to a safer water source. Finally, we demonstrate that households that received adverse test outcomes are more likely to selectively forget test results, and proactively remove evidence of their wells' arsenic status.