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Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model

Author

Listed:
  • Yanchao Feng

    (School of Economics and Management, Harbin Institute of Technology, Harbin 150001, China)

  • Xiaohong Wang

    (School of Economics and Management, Harbin Institute of Technology, Harbin 150001, China)

  • Wenchao Du

    (School of Economics and Management, Harbin Institute of Technology, Harbin 150001, China)

  • Jun Liu

    (School of Economics and Management, Harbin Institute of Technology, Harbin 150001, China)

Abstract

With the rapid development of urbanization, industrialization, and motorization, a large number of Chinese cities have been affected by heavy air pollution. In order to promote the development quality of Chinese cities, mixed regulations to control air pollution have been implemented under the lead of government. The principal component analysis and efficacy coefficient method are used to estimate urban development quality, according to the panel data of 285 prefecture-level cities in China over the period 2003–2016. On this basis, the paper uses the spatial Durbin model to study the direct impact and the spatial spillover effect of air pollution control on urban development quality in China. Results show that the control of smoke and dust has improved urban development quality in China, however, the control of sulfur dioxide has led to the decline of urban development quality in China. Furthermore, the impact of air pollution control on urban development quality in the eastern region is of great significance in statistical tests, while the situation in the central and western regions has not passed the test, implying the spatial heterogeneity among different regions. The different effects of air pollution control on urban development quality in different regions also illustrate the consciousness and supervision of local governments’ environment protection. Finally, the effects decomposition of the influencing factors based on spatial Durbin model (SDM) also supports the robust findings. Promoting the upgrading of energy consumption structure, raising awareness of environmental protection and supervision, and strengthening cooperation of different regions are suggested. Further recommendations are provided to improve the conceptual design and increase the credibility of our research. Our study not only provides new evidence on the impact of air pollution control on urban development quality in China, but also proposes a new perspective to promote urban development quality in China.

Suggested Citation

  • Yanchao Feng & Xiaohong Wang & Wenchao Du & Jun Liu, 2018. "Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model," IJERPH, MDPI, vol. 15(12), pages 1-21, December.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2822-:d:189696
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    2. Simon K. C. Cheung & Tommy K. Y. Cheung, 2022. "Mixed membership nearest neighbor model with feature difference," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1578-1594, December.
    3. Li Wen & Danling Yang & Yanning Li & Dongjia Lu & Haixia Su & Mengying Tang & Xiaokun Song, 2022. "Spatial Effect of Ecological Environmental Factors on Mumps in China during 2014–2018," IJERPH, MDPI, vol. 19(23), pages 1-16, November.

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