Department of Politics and Public Administration, The University of Hong Kong, Pokfulam, Hong Kong, China.
School of Public Administration and Policy, Renmin University of China, Beijing 100872, China.
Int J Environ Res Public Health. 2020 Mar 11;17(6):1819. doi: 10.3390/ijerph17061819.
Local water governance is challenging given the significance to public health and the difficulties to manage it in a fragmented administrative system. A collaboration network is a popular governance tool in local governance to cope with functional fragmentation problems and institutional collective action (ICA) dilemmas. Empirical works are needed to examine the outcomes of such governance networks, especially in the context of environmental governance. With fuzzy-set qualitative comparative analysis (fsQCA), this article seeks to evaluate the outcomes of collaboration networks by investigating the influence of network structures on local water governance performance in China. Based on empirical analyses on a dataset of twenty local water governance networks implementing the Water Ecological Civilization Pilot Project in China, the findings suggest that a high overall bridging and bonding of social capital and a low network density are important determinants of effective collaboration networks. This study has policy implications for the design of local collaboration networks in facilitating effective environmental governance.
鉴于水治理对公共健康的重要性,以及在分散的行政系统中管理水治理的难度,地方水治理面临挑战。合作网络是地方治理中应对功能碎片化问题和制度集体行动困境的一种流行治理工具。需要实证研究来检验这些治理网络的结果,特别是在环境治理方面。本文采用模糊集定性比较分析(fsQCA)方法,通过研究网络结构对中国地方水治理绩效的影响,评估合作网络的结果。基于对中国实施水生态文明试点项目的 20 个地方水治理网络数据集的实证分析,研究结果表明,高社会资本的整体桥接和联系以及低网络密度是有效合作网络的重要决定因素。本研究对设计促进有效环境治理的地方合作网络具有政策意义。