The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach
Mikel Buesa,
Joost Heijs and
Thomas Baumert
Research Policy, 2010, vol. 39, issue 6, 722-735
Abstract:
The present paper studies the determinants of regional innovation in Europe through a knowledge production function approach that combines factorial analysis and regression. Our dependent variable are the patents while we used initially 21 explanatory variables that were converted--by a factor analysis--into five non-observable "hypothetical" variables reflecting five important aspects of the innovation systems: the National environment, the Regional environment, Innovating firms, Universities and the R&D done by Public Administration. Our results show that all factors have a statistically significant effect on the production of knowledge (patents), although they present very different impacts.
Keywords: Determinants; of; innovation; Regional; innovation; systems; Europe; R&D (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (98)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0048-7333(10)00064-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:39:y:2010:i:6:p:722-735
Access Statistics for this article
Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray
More articles in Research Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().