01450nam a2200157Ia 4500008004100000100001600041245007600057260000900133300001500142504001200157520103500169650001601204650001301220650002601233773003301259181130s2018    xx            000 0 und d  aYi, Hongtao  aNetwork structure and governance performance:bwhat makes a difference?  c2018  ap.195-205.  dMar/Apr  aComparing 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. - Reproduced.  aGovernance   aNetworks  aPublic administration  aPublic Administration Review