Linking Network Structure to Collaborative Governance

• 成果类型: Article
• 署名作者: Ulibarri, Nicola; Scott, Tyler A.
• 署名单位: University System of Georgia; University of Georgia
• 刊物名称: JOURNAL OF PUBLIC ADMINISTRATION RESEARCH AND THEORY
• ISSN/ISSBN: 1053-1858
• DOI: 10.1093/jopart/muw041
• 发表日期: 2017
• 页码: 163-181
• 关键词: random graph models; cross-sector collaborations; collective action; policy networks; management; institutions; performance; outcomes; INFORMATION; COOPERATION

摘要

How do social networks differ between highly collaborative and less collaborative forms of governance? Drawing on a prior study that characterized the level of collaboration for three federal hydropower relicensing processes, we develop exponential random graph models of meeting attendance and participation networks. We find that the highly collaborative relicensing process had lower overall density and a propensity for relatively fewer and stronger interactions. Reciprocity is highest in the high-collaboration process, indicating that it is characterized by mutual interactions. In the low-collaboration process, patterns of connections between any three members of the network displayed a more unidirectional structure, suggesting asymmetrical interactions between active versus passive members of the network. By linking network structure to collaborative dynamics, this study helps elaborate potential mechanisms of successful collaboration.