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首页> 外文期刊>The Annals of regional science >Embeddedness of regions in European knowledge networks: a comparative analysis of inter-regional R&D collaborations, co-patents and co-publications
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Embeddedness of regions in European knowledge networks: a comparative analysis of inter-regional R&D collaborations, co-patents and co-publications

机译：欧洲知识网络中区域的嵌入性：区域间研发合作，共同专利和共同出版物的比较分析

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摘要

This paper investigates the embeddedness of European regions in different types of inter-regional knowledge networks, namely project-based R&D collaborations within the European framework programmes (FPs), co-patent networks and co-publication networks. Embeddedness refers to the network positioning of regions captured in terms of social network analytic (SNA) centrality measures. The objective is to estimate how region-internal and region-external factors influence network embeddedness in the distinct network types, in order to identify differences in their driving factors at the regional level. In our modelling approach, we apply advanced spatial econometric techniques by means of a mixed effects panel version of the spatial Durbin model (SDM) and introduce a set of variables accounting for a capacity specific, a relational as well as a spatial dimension in regional knowledge production activities. The results reveal conspicuous differences between the knowledge networks. Internal capacity- and technology-related aspects but also spatial spillover impacts from surrounding regions prove to be particularly important for centrality in the co-patent network. We also find significant-region-internal and region-external-impacts of general economic conditions on a region's centrality in the FP network. However, we cannot observe substantial spillover effects of region-external factors on centrality in the co-publication network. Thus, the distinctive knowledge creation foci in each network seem to find expression in the network structure as well as its regional determinants.
机译：本文研究了欧洲区域在不同类型的区域间知识网络中的嵌入性，即欧洲框架计划（FP），共同专利网络和共同出版物网络内基于项目的研发合作。嵌入度是指根据社交网络分析（SNA）集中度度量捕获的区域的网络定位。目的是估计区域内部和区域外部因素如何影响不同网络类型中的网络嵌入性，以便确定区域级别上其驱动因素的差异。在我们的建模方法中，我们通过空间杜宾模型（SDM）的混合效应面板版本应用先进的空间计量经济学技术，并引入了一组变量，这些变量说明了区域知识中的容量特定，关系以及空间维度生产活动。结果揭示了知识网络之间的明显差异。与内部能力和技术相关的方面以及周围区域的空间溢出影响被证明对于共同专利网络的集中性特别重要。我们还发现了一般经济状况对FP网络中一个区域中心的重要区域内部和区域外部影响。但是，我们无法在联合出版物网络中观察到区域外部因素对中心性的实质性溢出效应。因此，每个网络中独特的知识创造焦点似乎可以在网络结构及其区域决定因素中找到表达。

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  • 来源
    《The Annals of regional science》 |2014年第2期|337-368|共32页
  • 作者

    Iris Wanzenboeck; Thomas Scherngell; Thomas Brenner;

  • 作者单位

    Innovations Systems Department, Austrian Institute of Technology (AIT), Vienna, Austria;

    Innovations Systems Department, Austrian Institute of Technology (AIT), Vienna, Austria;

    Economic Geography and Location Research, Philipps University Marburg, Marburg, Germany;

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