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 language | English |
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Pages (from-to) | S1-S24 |
Journal | Papers in Regional Science |
Volume | 97 |
Issue number | S1 |
DOIs | |
Publication status | Published - 1 Mar 2018 |
Keywords
- R&D networks
- European Framework Programme
- regional knowledge production
- dynamic spatial panel data model
- space-time impacts