Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China
Abstract(1) Background: Air quality apt to deteriorate in decades in China, people are seeking improvement measures. To assess the willingness to pay (WTP) for improved air quality among manufacturing workers and associated factors influencing their WTP. (2) Methods: A cross-sectional questionnaire survey was conducted in combination with contingent valuation in Nanchang between September and October of 2015. A face-to-face interview was conducted to obtain basic demographic information from manufacturing workers and to understand their WTP for air quality improvement. (3) Results: A total of 600 effective questionnaires were collected in this study and showed that more than half of the respondents (53%) expressed their WTP for improved air quality. Multivariable logistic regression analysis revealed that the main factors associated with manufacturing workers’ WTP were their residence areas, education level, annual household income and travel experience. (4) Conclusions: These findings have provided (a) important information of the concern and desire for air pollution control through their WTP from manufacturing workers, (b) baseline information for the policy-maker and local government for their development of more effective policy in air pollution prevention and control and (c) the need for more study for WTP among different population groups in future. View Full-Text
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Liu, R.; Liu, X.; Pan, B.; Zhu, H.; Yuan, Z.; Lu, Y. Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China. Sustainability 2018, 10, 1613.
Liu R, Liu X, Pan B, Zhu H, Yuan Z, Lu Y. Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China. Sustainability. 2018; 10(5):1613.Chicago/Turabian Style
Liu, Rong; Liu, Xiaojun; Pan, Bingbing; Zhu, Hui; Yuan, Zhaokang; Lu, Yuanan. 2018. "Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China." Sustainability 10, no. 5: 1613.
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