2019
DOI: 10.1016/j.jclepro.2019.07.046
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Factors governing the willingness to pay for air pollution treatment: A case study in the Beijing-Tianjin-Hebei region

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Cited by 53 publications
(21 citation statements)
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“…While professional environmental knowledge (i.e., ecological and scientific knowledge) has only a direct effect on public pro-environmental behavior. Wang et al [44] pointed out that the public willingness to participate in air pollution control in the Beijing-Tianjin-Hebei region is influenced by income level, occupation, the awareness of air pollution, and governmental actions.…”
Section: Discussionmentioning
confidence: 99%
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“…While professional environmental knowledge (i.e., ecological and scientific knowledge) has only a direct effect on public pro-environmental behavior. Wang et al [44] pointed out that the public willingness to participate in air pollution control in the Beijing-Tianjin-Hebei region is influenced by income level, occupation, the awareness of air pollution, and governmental actions.…”
Section: Discussionmentioning
confidence: 99%
“…However, the next step for the integrated management of air pollution is that the control measures should be done by managers and decision-makers. Wang et al [44] reported that as air pollution control is a large-scale task and different sectors are involved, the public individual participating and governmental actions can help together to reach a win-win solution in improving the air quality. Table 11 shows the main sources of the concerns and dissatisfaction of Isfahanian citizens about the air quality, and also the major control measures to reduce air pollution related to each source were based on the finding in the present study as well as previously published research works [26,29,47,50,51,53].…”
Section: The Level Of Awareness and Knowledge Of Peoplementioning
confidence: 99%
“…Our study sample size is relatively close to the valid sample size of 330 in [9] that examined the public knowledge and awareness in waste management. It is also comparable to the city-level sample size of 249–262 in [7] that studied the willingness to pay to reduce air pollution in Beijing, Tianjin, and Hebei.…”
Section: Experimental Design Materials Methodsmentioning
confidence: 66%
“…Sample size selection . We followed previous environmental studies [ 7 , 8 ] in using the following equation to determine our sample size: …”
Section: Experimental Design Materials Methodsmentioning
confidence: 99%
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