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The Impact of Collaboration Network on Water Resource Governance Performance: Evidence from China’s Yangtze River Delta Region

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  • Hongtao Yi

    (School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
    John Glenn College of Public Affairs, The Ohio State University, Columbus, OH 43210, USA)

  • Yan Yang

    (School of Public Administration and Policy, Renmin University of China, Beijing 100872, China)

  • Chao Zhou

    (School of Government, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

Existing studies rarely examine the relationship between network structure and network performance. To fill this research gap, this article collects inter-local collaboration network data from 41 cities in the Yangtze River Delta region of China from 2009 to 2015. Based on the institutional collective action framework and social capital theory, we propose bridging and bonding hypotheses regarding the impact of network structures on governance performance. We employ social network analysis and panel data regression models to test the hypotheses. The results show that the coefficients for closeness centrality and clustering coefficient are statistically significant in this analysis, Wuxi played a central role in the collaboration network and the region had formed a close partner network, confirming the positive effect of bridging and bonding network social capital structures on network performance.

Suggested Citation

  • Hongtao Yi & Yan Yang & Chao Zhou, 2021. "The Impact of Collaboration Network on Water Resource Governance Performance: Evidence from China’s Yangtze River Delta Region," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2557-:d:510410
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    References listed on IDEAS

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    1. Jisun Youm & Richard C. Feiock, 2019. "Interlocal collaboration and local climate protection," Local Government Studies, Taylor & Francis Journals, vol. 45(6), pages 777-802, November.
    2. Hyung Jun Park & Richard C. Feiock, 2006. "Institutional Collective Action, Social Capital and Regional Development Partnership," International Review of Public Administration, Taylor & Francis Journals, vol. 11(2), pages 57-69, January.
    3. Woolcock, Michael & Narayan, Deepa, 2000. "Social Capital: Implications for Development Theory, Research, and Policy," The World Bank Research Observer, World Bank, vol. 15(2), pages 225-249, August.
    4. Ramiro Berardo & John T. Scholz, 2010. "Self‐Organizing Policy Networks: Risk, Partner Selection, and Cooperation in Estuaries," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 632-649, July.
    5. Ramiro Berardo & Andrea K. Gerlak, 2012. "Conflict and Cooperation along International Rivers: Crafting a Model of Institutional Effectiveness," Global Environmental Politics, MIT Press, vol. 12(1), pages 101-120, February.
    6. Mark Lubell & Adam Douglas Henry & Mike McCoy, 2010. "Collaborative Institutions in an Ecology of Games," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 287-300, April.
    7. Chris Huxham, 2003. "Theorizing collaboration practice," Public Management Review, Taylor & Francis Journals, vol. 5(3), pages 401-423, September.
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    Cited by:

    1. 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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