The Embeddedness of Regions in R&D Collaboration Networks of the EU Framework Programmes

Iris Wanzenböck () and Barbara Heller-Schuh
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Iris Wanzenböck: AIT Austrian Institute of Technology
Barbara Heller-Schuh: AIT Austrian Institute of Technology

Chapter Chapter 15 in The Geography of Networks and R&D Collaborations, 2013, pp 279-297 from Springer

Abstract: Abstract This article focuses on the embeddedness of European regions in networks of R&D collaborations of the EU Framework Programmes. Network embeddedness is defined in terms of network analytic centrality measures calculated for organisations and aggregated to the regional level. The objective is to estimate how region-internal and region-external characteristics affect a region’s positioning in the thematic networks of Information and Communication Technologies, Sustainable Development and Life Sciences. In our modelling approach, we employ panel spatial Durbin error models, linking a region’s centrality in the network to knowledge production and general economic characteristics of regions, and their neighbours, respectively. We found evidence that financial R&D resources, human capital and the level of socio-economic development are important general determinants of a region’s network positioning. By linking European R&D networks with regional innovativeness, the study provides important implications for setting priorities in a regional innovation policy context.

Keywords: Social Network Analysis; Betweenness Centrality; Eigenvector Centrality; Gross Regional Product; Spatial Spillover (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-319-02699-2_15

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DOI: 10.1007/978-3-319-02699-2_15

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