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Exploring the Composition of Communication Networks of Governance - a Case Study on Local Environmental Policy in Helsinki, Finland

机译:探索治理沟通网络的组成-以芬兰赫尔辛基当地环境政策为例

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Governance (Rhodes, 1996; Kooiman, 1993, 2003; Pierre, 2000) is one of the most popular new concepts in policy science and administrative science. The literature does not constitute a unified theory, but a single theme runs throughout: policy decisions are referred to as being made by networks of organizations. However, the network governance literature has not built on the previous literature on policy networks and the methods of social network analysis. The structure of the governance network can make a difference in policy-making, but the structures have often been neglected in governance research. Here, the combination of social network analysis and governance literature is suggested as a possibility for investigating network structures. In particular, we investigate how and why the organizations involved choose their communication partners. The methods of exponential random graph modelling (sometimes referred to as p~* models) (Snijders et al., 2006; Robins et al., 2007a, 2007b) enable the simultaneous modelling of structural effects and individual variables and their effects on network structure. As of yet, there are few substantial applications. The aim of this paper is to evaluate the composition of a policy network and the effects of network and actor variables on the empirically observed network. The environmental policy of the city of Helsinki, Finland, is used to demonstrate the approach.
机译:治理(Rhodes,1996; Kooiman,1993,2003; Pierre,2000)是政策科学和行政科学中最受欢迎的新概念之一。文献并不构成统一的理论,而是贯穿始终的一个主题:政策决策是指由组织网络做出的决策。但是,网络治理文献并未建立在先前有关政策网络和社会网络分析方法的文献的基础上。治理网络的结构可以在决策中有所作为,但是在治理研究中常常忽略了这些结构。在这里,社会网络分析和治理文献的结合被认为是研究网络结构的一种可能性。特别是,我们调查了相关组织如何以及为什么选择他们的沟通伙伴。指数随机图建模的方法(有时称为p〜*模型)(Snijders等,2006; Robins等,2007a,2007b)可以同时对结构效应和单个变量及其对网络结构的效应进行建模。到目前为止,几乎没有实际应用。本文的目的是评估政策网络的组成以及网络和参与者变量对经验观察网络的影响。芬兰赫尔辛基市的环境政策用于说明该方法。

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