Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions

Francesco Quatraro

Regional Studies, 2016, vol. 50, issue 3, 513-539

Abstract: Q uatraro F. Co-evolutionary patterns in regional knowledge bases and economic structure: evidence from European regions, Regional Studies . This paper analyses the co-evolutionary patterns of structural change in knowledge and economics. The former is made operational through an analysis of co-occurrences of technological classes in patent documents in order to derive indicators of coherence, variety and cognitive distance. The latter is made operational in a synthetic way by implementing shift-share analysis which decomposes labour productivity growth into effects caused by changes in the allocation of employment, those ascribed to intra-sector productivity growth, and those caused by interaction of these two components. The results of the analysis conducted on a sample of 227 European regions show that increasing variety is associated with the reallocation of the workforce across sectors whereas within-sector productivity is associated with high levels of both coherence and cognitive distance of the regional knowledge base.

Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2014.927952 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions (2016)
Working Paper: Co-evolutionary patterns in regional knowledge bases and economic structure: evidence from European Regions (2013)
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:taf:regstd:v:50:y:2016:i:3:p:513-539

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20

DOI: 10.1080/00343404.2014.927952

Access Statistics for this article

Regional Studies is currently edited by Ivan Turok

More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().