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A Pollution Prevention Pathway Evaluation Methodology Based on Systematic Collaborative Control

Author

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  • Shujuan Li

    (School of Management, School of Language, Literature and Law, Xi’an University of Architecture and Technology, Xi’an 710064, China)

  • Enyi Zhou

    (School of Management, School of Language, Literature and Law, Xi’an University of Architecture and Technology, Xi’an 710064, China)

  • Peng Zhang

    (School of Management, School of Language, Literature and Law, Xi’an University of Architecture and Technology, Xi’an 710064, China
    School of Economics and Management, Xi’an Aeronautical University, Xi’an 710087, China)

  • Yu Xia

    (Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, QC H3G 1M8, Canada)

Abstract

To improve the efficiency of air pollution control, in this research, a systematic air pollution collaborative governance pathway system was developed from a systemic perspective. The sequencing of air pollution control pathways in the system can significantly affect its efficiency, so the order of the sequence was optimized. To develop the system, first, two case studies on coordinated air pollution control in the U.S. and China were conducted to demonstrate the importance of systematic collaborative governance. Next, based on the analysis of these two cases and a review of the related literature, a systematic coordinated air pollution control mechanism was proposed. The priorities of collaborative governance pathways were evaluated using the Analytic Hierarchy Process (AHP) methodology. The input to the AHP was data from in-depth interviews with established scholars and practitioners in air pollution prevention and control. Several policy suggestions are put forward based on the expert ranking of the results of the priorities of the collaborative governance pathways. These policy suggestions include identifying the most critical pathways in the cooperative control of air pollution and their order of implementation as well as measures that can effectively reduce pollution. The theoretical contributions of this research include the establishment of a cooperative governance mechanism and the analysis of governance pathways to help develop an efficient air pollution pathway system. The practical contributions of this research include policy suggestions to improve the efficiency of collaborative air pollution treatment and lower its costs.

Suggested Citation

  • Shujuan Li & Enyi Zhou & Peng Zhang & Yu Xia, 2022. "A Pollution Prevention Pathway Evaluation Methodology Based on Systematic Collaborative Control," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8747-:d:864993
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    References listed on IDEAS

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    1. Youting Li & Wenhui Zhao & Jianing Fu & Zhiqiang Liu & Congying Li & Jingying Zhang & Chuan He & Kai Wang, 2020. "Joint Governance Regions and Major Prevention Periods of PM 2.5 Pollution in China Based on Wavelet Analysis and Concentration-Weighted Trajectory," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    2. Daniel A. Vallero, 2016. "Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus," Sustainability, MDPI, vol. 8(12), pages 1-9, November.
    3. Bucovetsky, S., 1991. "Asymmetric tax competition," Journal of Urban Economics, Elsevier, vol. 30(2), pages 167-181, September.
    4. Yifeng Xue & Xizi Cao & Yi Ai & Kangli Xu & Yichen Zhang, 2020. "Primary Air Pollutants Emissions Variation Characteristics and Future Control Strategies for Transportation Sector in Beijing, China," Sustainability, MDPI, vol. 12(10), pages 1-10, May.
    5. Cheung, Chun Wai & He, Guojun & Pan, Yuhang, 2020. "Mitigating the air pollution effect? The remarkable decline in the pollution-mortality relationship in Hong Kong," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    6. George Economides & Apostolis Philippopoulos, 2008. "Growth enhancing policy is the means to sustain the environment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(1), pages 207-219, January.
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    Cited by:

    1. Jiancheng Li, 2023. "Structural Characteristics and Evolution Trend of Collaborative Governance of Air Pollution in “2 + 26” Cities from the Perspective of Social Network Analysis," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    2. Peng Zhang & Jun Liu & Lihong Guo & Xiaofei Wang, 2025. "Research on the Measurement and Enhancement Pathways of the Coupled and Coordinated Development of Digitalization and Greening in the Energy Industry," Sustainability, MDPI, vol. 17(13), pages 1-30, July.

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