caa a22 4500 467905010 CHVBK 20180406152831.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s10661-005-9054-z doi (NATIONALLICENCE)springer-10.1007/s10661-005-9054-z Air Quality Improvement Estimation and Assessment Using Contingent Valuation Method, A Case Study in Beijing [Elektronische Daten] [X. Wang, W. Zhang, Y. Li, K. Yang, M. Bai] The aim of the paper is to estimate and assess residents' willingness to pay to improve air quality in the urban area of Beijing using the Contingent Valuation Method (CVM). The mean willingness to pay (WTP) for a 50% reduction of harmful substances in the air was 143 CNY per household per year, and the total WTP of the residents in the study area was 336 million CNY per year. As a proportion of household annual income, the mean WTP amounted to 0.7%. Four socio-economic variables were found to have significant impacts on residents' willingness to pay. The analysis results illustrated that WTP increases with income and education level, and decreases with household population and age. The willingness was larger for residents in the urban districts than those in the suburban districts. It was found that most of the protest bids lay on interviewees' incomplete perception of the values of environmental amenity. The influence of household income on people's willingness to pay illustrated in this study reflects a causal force of Beijing's transition to market economy that households created to have disposable income are more likely to care about environmental quality. The results of this study strike an optimistic note on the possibility of measuring the total economic value of environmental quality improvement by using the CVM in China. Suggestions on implication of the CVM for both academics and policy makers are provided in the paper. Springer Science+Business Media, Inc., 2006 air quality nationallicence contingent valuation method nationallicence environmental valuation nationallicence willingness to pay nationallicence Wang X. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut Zhang W. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut Li Y. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut Yang K. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut Bai M. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut Environmental Monitoring and Assessment Kluwer Academic Publishers 120/1-3(2006-09-01), 153-168 0167-6369 120:1-3<153 2006 120 10661 https://doi.org/10.1007/s10661-005-9054-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-005-9054-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang X. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut NATIONALLICENCE 700 1- Zhang W. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut NATIONALLICENCE 700 1- Li Y. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut NATIONALLICENCE 700 1- Yang K. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut NATIONALLICENCE 700 1- Bai M. College of Environmental Sciences, MOE Laboratory of Earth Surface Process, Peking University, Beijing, P.R. China aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 120/1-3(2006-09-01), 153-168 0167-6369 120:1-3<153 2006 120 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer