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The Improvement Path for Regionally Coordinated Green Development: Evidence from Social Network Analysis

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  • Yang Zhou

    (The Party School of Zhejiang Provincial Committee of the Communist Party of China, Hangzhou 311121, China
    Zhejiang Research Center of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, Hangzhou 311121, China
    Zhejiang Provincial Party School Research Center for Comprehensively Strictly Governing the Party, Hangzhou 311121, China)

  • Hankun Wang

    (Department of Public & International Affairs, City University of Hong Kong, Hong Kong 999077, China)

  • Zuqiang Wang

    (The Party School of Zhejiang Provincial Committee of the Communist Party of China, Hangzhou 311121, China
    Zhejiang Research Center of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, Hangzhou 311121, China
    Zhejiang Provincial Party School Research Center for Comprehensively Strictly Governing the Party, Hangzhou 311121, China)

  • Xiang Dai

    (College of Business and Economics, Australian National University, Canberra, ACT 2600, Australia)

Abstract

Regionally coordinated green development has been widely documented in China. However, most previous studies have investigated it from the perspective of linearity, while the spatial correlation of green development is nonlinear. Based on 48 cities in Bohai Rim, this study used a social network analysis to measure the spatial network, with an emphasis on the internal structure of regional green development, and analyzed the driving factors of regionally coordinated green development from the perspective of nonlinearity. We found that large cities have formed a “siphon effect” and that the polarization of eco-efficiency has become increasingly serious. There are limited connections, some of which are redundant, in the spatial network of green development, while the stability of the network is strong. Additionally, reducing the differences in environmental regulation approaches among cities can have a positive impact on the spatial correlation and spillover effect of green development, thereby promoting regionally coordinated green development among cities in the Bohai Rim.

Suggested Citation

  • Yang Zhou & Hankun Wang & Zuqiang Wang & Xiang Dai, 2022. "The Improvement Path for Regionally Coordinated Green Development: Evidence from Social Network Analysis," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11703-:d:916987
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    References listed on IDEAS

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    1. Peng, Benhong & Wang, Yuanyuan & Wei, Guo, 2020. "Energy eco-efficiency: Is there any spatial correlation between different regions?," Energy Policy, Elsevier, vol. 140(C).
    2. Kaika, Dimitra & Zervas, Efthimios, 2013. "The Environmental Kuznets Curve (EKC) theory—Part A: Concept, causes and the CO2 emissions case," Energy Policy, Elsevier, vol. 62(C), pages 1392-1402.
    3. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1545-1564, September.
    4. Xinghua Cui & Ning Xu & Wanxu Chen & Guanzheng Wang & Jiale Liang & Sipei Pan & Binqiao Duan, 2022. "Spatio-Temporal Variation and Influencing Factors of the Coupling Coordination Degree of Production-Living-Ecological Space in China," IJERPH, MDPI, vol. 19(16), pages 1-26, August.
    5. Michael Brown & Linda Treviño, 2014. "Do Role Models Matter? An Investigation of Role Modeling as an Antecedent of Perceived Ethical Leadership," Journal of Business Ethics, Springer, vol. 122(4), pages 587-598, July.
    6. Cui, Qiang & Li, Ye, 2020. "A cross efficiency distinguishing method to explore the cooperation degree in dynamic airline environmental efficiency," Transport Policy, Elsevier, vol. 99(C), pages 31-43.
    7. Song, Yan & Zhang, Xiao & Zhang, Ming, 2021. "The influence of environmental regulation on industrial structure upgrading: Based on the strategic interaction behavior of environmental regulation among local governments," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    8. Zhenggen Fan & Chao Deng & Yuqi Fan & Puwei Zhang & Hua Lu, 2021. "Spatial-Temporal Pattern and Evolution Trend of the Cultivated Land Use Eco-Efficiency in the National Pilot Zone for Ecological Conservation in China," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    9. Bhattarai, Madhusudan & Hammig, Michael, 2001. "Institutions and the Environmental Kuznets Curve for Deforestation: A Crosscountry Analysis for Latin America, Africa and Asia," World Development, Elsevier, vol. 29(6), pages 995-1010, June.
    10. Xiaoying Zhong & Guanghai Liu & Peng Chen & Kaili Ke & Ruhe Xie, 2022. "The Impact of Internet Development on Urban Eco-Efficiency—A Quasi-Natural Experiment of “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(3), pages 1-23, January.
    11. Liu, Xuehua & Liu, Lin & Peng, Yu, 2017. "Ecological zoning for regional sustainable development using an integrated modeling approach in the Bohai Rim, China," Ecological Modelling, Elsevier, vol. 353(C), pages 158-166.
    12. Dasgupta, Susmita & Laplante, Benoit & Mamingi, Nlandu & Wang, Hua, 2001. "Inspections, pollution prices, and environmental performance: evidence from China," Ecological Economics, Elsevier, vol. 36(3), pages 487-498, March.
    13. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    Cited by:

    1. Xiaotong Gao & Naigang Cao & Yushuo Zhang & Lin Zhao, 2022. "Spatial Structure of China’s Green Development Efficiency: A Perspective Based on Social Network Analysis," Sustainability, MDPI, vol. 14(23), pages 1-16, December.

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