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Evaluation of the Governance Efficiency of Water Environmental Governance Efficiency in Yangtze River Delta from the Perspective of Multivariate Synergies

Author

Listed:
  • Xiaoqiong Liu

    (School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
    China Institute of Mountaineering and Outdoor Sports, Wuhan 430074, China)

  • Xu Wang

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Feiyu Lu

    (The Development Research Center of Kunshan Municipal People’s Government, Kunshan 215300, China)

  • Shuai Liu

    (School of Arts and Communication, China University of Geosciences, Wuhan 430074, China)

  • Kunlun Chen

    (China Institute of Mountaineering and Outdoor Sports, Wuhan 430074, China
    School of Physical Education, China University of Geosciences, Wuhan 430074, China)

Abstract

Comprehensive governance of the watershed environment is one of the keys to urban and regional development and construction, which will affect not only the overall quality of urban economic development, but also the production and lives of urban residents. Since the economy in the Yangtze River Delta develops rapidly and the water environmental issues is more and more striking, it is in urgent need of moving forward the governance of water environment. This study empirically analyzes the governance efficiency of water environment in the Yangtze River Delta from 2006 to 2017 adopting the methods of the DPSIR (Driving Force-Pressure-State-Impact-Response Analysis model)–TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and the SNA (Social Network Analysis) to clarify the roles and responsibilities of different cities and main contributors in the governance of water environment. According to the research, the following results are attained: first, due to the effects of pressure and the state subsystem, the Yangtze River Delta’s governance efficiency of water environment has increased steadily over time, from 0.3704 in 2006 to 0.4645 in 2017, but the disparities across cities have further widened. Second, in terms of contributors, the enterprises and governments play the main roles in the governance of water environment in recent years, while the public cannot always exert significant influence owing to unexpected environmental occurrences. Lastly, from the perspective of regional coordinated governance, the Yangtze River Delta resembles a tightly connected network of collaborative governance of water environment, with network connectivity and density growing year after year. However, the network structure of the governance efficiency of water environment in the study area is asymmetric, and network connectivity is higher inside the administrative regions, whereas spatial connectivity across provincial administrative boundaries has to be improved. The research scale and connotation in the field of the governance of water environment can be expanded and deepened through the study on the evaluation of the governance efficiency of water environment in the Yangtze River Delta, and it has considerable practical implications in modernizing the national governance system and capability.

Suggested Citation

  • Xiaoqiong Liu & Xu Wang & Feiyu Lu & Shuai Liu & Kunlun Chen, 2022. "Evaluation of the Governance Efficiency of Water Environmental Governance Efficiency in Yangtze River Delta from the Perspective of Multivariate Synergies," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2347-:d:752430
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    Citations

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    Cited by:

    1. Huifang Liu & Xiaoyi Shi & Pengwei Yuan & Xiaoqing Dong, 2022. "Study on the Evolution of Multiple Network Resilience of Urban Agglomerations in the Yellow River Basin," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    2. Lianju Lyu & Daxue Kan & Wenqing Yao & Weichiao Huang, 2022. "Has China’s Pilot Policy of Water Ecological Civilization City Construction Reduced Water Pollution Intensity?," Land, MDPI, vol. 11(11), pages 1-22, November.
    3. Zhao, Feifei & Hu, Zheng & Yi, Ping & Zhao, Xu, 2024. "Does environmental decentralization improve industrial ecology? Evidence from China's Yangtze River Economic Belt," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1250-1270.
    4. Fan, Ruilin & Zhang, Hanlu & Gao, Yi, 2023. "The global cooperation in asteroid mining based on AHP, entropy and TOPSIS," Applied Mathematics and Computation, Elsevier, vol. 437(C).
    5. Ying Cheng & Zhen Liu & Li Gao & Yanan Zhao & Tingting Gao, 2022. "Traffic Risk Environment Impact Analysis and Complexity Assessment of Autonomous Vehicles Based on the Potential Field Method," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    6. Jiangyang Lin & Yuanhong Tian & Qian Yao & Yong Shi, 2023. "Structural Characteristics of Intergovernmental Water Pollution Control Cooperation Networks Using Social Network Analysis and GIS in Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 15(18), pages 1-18, September.

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