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Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model

Author

Listed:
  • Jian Wang

    (School of Business, Quzhou University, Kecheng District, Quzhou 324000, China
    E-Commerce Research Center, Pingxiang University, Anyuan District, Pingxiang 337055, China)

  • Jin-Chun Huang

    (School of Business, Quzhou University, Kecheng District, Quzhou 324000, China
    E-Commerce Research Center, Pingxiang University, Anyuan District, Pingxiang 337055, China)

  • Shan-Lin Huang

    (Department of Tourism Management, College of Economics and Management, Sanming University, Sanyuan District, Sanming 365004, China
    National Park Center, Sanming University, Sanyuan District, Sanming 365004, China)

  • Gwo-Hshiung Tzeng

    (Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, San Shia District, New Taipei 23741, Taiwan)

  • Ting Zhu

    (Department of Tourism Management, College of Economics and Management, Sanming University, Sanyuan District, Sanming 365004, China)

Abstract

Global warming and extreme weather have increased most people’s awareness of the problem of environmental destruction. In the domain of sustainable development, environmental governance has received considerable scholarly attention. However, protecting and improving the environment requires not only substantial capital investment but also cooperation among stakeholders. Therefore, based on the network structure of stakeholders, the best–worst method (BWM) and modified Vlsekriterijumska Optimizacija I Kompromisno Resenje method were combined to form an environmental co-governance assessment framework that can be used to evaluate the effects of various policies and identify strategies for further improvement through data analysis (henceforth the BWM-mV model). This mechanism is not only useful for evaluating the effectiveness of environmental governance policies but also for generating suggestions to enhance these policies. Hence, the BWM-mV model is particularly suitable for local governments with limited resources in time, money, or labor. Pingxiang City Government is currently subject to such limitations and was therefore selected as the subject of an empirical case study. The results of this study revealed that the aspects (i.e., criteria) the Pingxiang City Government should urgently improve on pertain to a high-quality information communication platform ( C 13 ) and smooth joint decision-making by stakeholders ( C 24 ).

Suggested Citation

  • Jian Wang & Jin-Chun Huang & Shan-Lin Huang & Gwo-Hshiung Tzeng & Ting Zhu, 2021. "Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model," IJERPH, MDPI, vol. 18(9), pages 1-30, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4969-:d:550129
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