Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government-Sponsored Collaborative Groups Enhance Organizational Networks?
Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government-Sponsored Collaborative Groups Enhance Organizational Networks?
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DOI：
10.1111/psj.12118
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发表时间：
2016-05
期刊：
影响因子：
--
通讯作者：
Scott TA
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文献类型：
--
作者：
Scott TA
本文从政策制定者寻求加强政策网络内部协调的角度探讨了协作管理小组。虽然政府经常支持协作团体作为解决缺乏协调等感知网络故障的工具，但团体的净影响尚不清楚。我使用有价值的指数随机图模型（ERGMs）的区域网络的组织参与57个协作组之间的关系的不同强度的模型。这提供了一个独特的机会来研究一个大规模网络中的众多群体和组织之间的相互作用。价值ERGMs是最近开发的扩展标准ERGMs的模型值，而不是二进制的关系，因此，本文也作出了方法论的贡献，政策文献。研究结果表明，参与协作组不激励个别网络组织之间的协调与合作，但是，这种效果是最强的：（一）组织已经不是另一组的成员和（二）组织没有预先存在的领带。这些结果支持基于交易成本的角度来看，政府赞助的合作团体如何影响网络协调;此外，他们还提供了一个实证的例子，在游戏的生态，多个合作机构在一个政策网络内相互影响。
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.
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