RD networks and regional knowledge production in Europe: Evidence from a space-time model

Iris Wanzenböck, Philipp Piribauer

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this study we estimate space-time impacts of the embeddedness in R&D networks on regional knowledge production using a dynamic spatial panel data model with non-linear effects for 229 European NUTS 2 regions in the period 1998–2010. Embeddedness refers to the positioning in networks where nodes represent regions that are linked by joint R&D projects funded by EU Framework Programmes. We find evidence that increasing embeddedness in EU funded R&D networks leads to positive immediate impacts on regional knowledge production, and that regions with lower levels of own knowledge endowments more likely exploit the positive effects. However, the long-term impacts of a region's embeddedness in these R&D networks are comparatively small.
Original languageEnglish
Pages (from-to)S1-S24
JournalPapers in Regional Science
Volume97
Issue numberS1
DOIs
Publication statusPublished - 1 Mar 2018

Keywords

  • R&D networks
  • European Framework Programme
  • regional knowledge production
  • dynamic spatial panel data model
  • space-time impacts

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