Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government-Sponsored Collaborative Groups Enhance Organizational Networks?

被引:37
|
作者
Scott, Tyler A. [1 ]
机构
[1] Univ Georgia, Sch Publ & Int Affairs, Publ Policy, Athens, GA 30602 USA
关键词
collaborative management; collaborative governance; policy networks; ERGMs; valued networks; network analysis; INSTITUTIONS; MANAGEMENT; ECOLOGY; COOPERATION; INFORMATION; RISK;
D O I
10.1111/psj.12118
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
This paper examines collaborative management groups from the perspective of policymakers seeking to increase coordination within a policy network. While governments often support collaborative groups as a tool to address perceived network failures such as a lack of coordination, the net impact groups have is unclear. I use valued exponential random graph models (ERGMs) to model relationships of varying strength among a regional network of organizations involved in 57 collaborative groups. This provides a unique opportunity to study the interplay between numerous groups and organizations within a large-scale network. Valued ERGMs are a recently developed extension of standard ERGMs that model valued instead of binary ties; thus, this paper also makes a methodological contribution to the policy literature. Findings suggest that participation in collaborative groups does motivate coordination and cooperation amongst individual network organizations; however, this effect is strongest for: (i) organizations that are not already members of another group and (ii) organizations that do not have a preexisting tie. These results support a transaction-cost-based perspective of how government-sponsored collaborative groups can influence network coordination; further, they also provide an empirical example of the Ecology of Games, in which multiple collaborative institutions have interactive effects on one another within a policy network.
引用
收藏
页码:215 / 244
页数:30
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