2016
DOI: 10.1080/13504851.2016.1226482
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Willingness to pay to control PM2.5 pollution in Jing-Jin-Ji Region, China

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Cited by 31 publications
(17 citation statements)
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“…This result is consistent with the one calculated from the Fifth National Census data, where the average age of the Chinese population is about 32.48 years old. Approximately 65.76% had a bachelor or university degree, which is in line with the respondents in Wei and Wu [34]. They found that 69% of their respondents obtained a college education.…”
Section: Demographic Profile Of the Respondentssupporting
confidence: 72%
See 1 more Smart Citation
“…This result is consistent with the one calculated from the Fifth National Census data, where the average age of the Chinese population is about 32.48 years old. Approximately 65.76% had a bachelor or university degree, which is in line with the respondents in Wei and Wu [34]. They found that 69% of their respondents obtained a college education.…”
Section: Demographic Profile Of the Respondentssupporting
confidence: 72%
“…As in Wei and Wu [34], this study employed a two-stage modelling process to analyze the collected data. We first applied the binary probit model to explore the probability of a respondent having a positive WTP for protecting grassland ecosystem services in Inner Mongolia.…”
Section: Discussionmentioning
confidence: 99%
“…Tang and Zhang [29] employed CE to estimate the WTP of individuals to improve the air quality in China, especially in residents of the city where fog and smog occur frequently. Wei and Yan [30] examined the WTP for improving PM 2.5 pollution in Jing-jin-ji, China. At this time, the mean WTP was associated with income, age, and education levels.…”
Section: Method: Contingent Valuation (Cv)mentioning
confidence: 99%
“…First, of the studies that measured people's WTP for reducing the PM 2.5 concentration remain scarce, more tackled particulate matter and air quality (e.g., [25][26][27][28][29][30]). In this regard, this study can contribute to the literature on the economic valuation of the public value of reducing the PM 2.5 concentration.…”
Section: Method: Contingent Valuation (Cv)mentioning
confidence: 99%
“…First, studies that investigate the role of NG to abate PM emissions compared with that of coal, remain scarce as most of the related studies have tackled PM itself [24][25][26][27][28][29]. Considering this, the present study can contribute to the literature on the additional WTP for electricity from NG-fired generation over coal-fired generation in view of PM emissions abatement.…”
Section: Method: CVmentioning
confidence: 74%