Network Structure and Governance Performance: What Makes a Difference?
本文用超链接网络分析测量美国各州的清洁能源治理网络，发现网络结构（如平均接近中心性和聚类系数）对治理绩效有显著影响，高桥接和高黏合社会资本的网络表现更好。
Abstract Comparing and evaluating the performance of governance networks are important tasks for researchers and practitioners of network governance and public administration. Limited by the lack of network data across space and time, the study of network performance and effectiveness at the network level is not on pace with advances in theories and methodologies in network analysis. With a novel methodology to measure clean energy governance networks using hyperlink network analysis across the contiguous United States, this article collects a large sample of self‐organizing policy networks in the same policy domain across geographic locations. This article proposes that governance networks with high overall bridging and bonding social capital perform better. Regression analyses show that network structures have statistically significant effects on governance outcomes. States with high average closeness and average clustering in their governance networks are more likely to have faster clean energy development .