Cognitive Capital and Islands of Innovation: The Lucas Growth Model from a Regional Perspective

Andrea Caragliu and Peter Nijkamp

Regional Studies, 2014, vol. 48, issue 4, 624-645

Abstract: Caragliu A. and Nijkamp P. Cognitive capital and islands of innovation: the Lucas growth model from a regional perspective, Regional Studies . Knowledge triggers regional growth. Evidence suggests that skilled labour force concentrates in islands of innovation, providing an advantage for innovative regions and a challenge for lagging ones. A growth model explaining the effect of human capital on regional wealth is presented. Estimates are based on the European Values Study (EVS) and Eurostat regional data. The externality driving growth in the model is cognitive capital. Empirical tests show that a higher endowment of cognitive capital generates increasing returns to knowledge, favouring the emergence of islands of innovation; also, regions with a high endowment of cognitive capital attract knowledge spillovers from neighbours.

Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2012.672726 (text/html)
Access to full text is restricted to subscribers.

Related works:
Journal Article: Cognitive Capital and Islands of Innovation: The Lucas Growth Model from a Regional Perspective (2020)
Working Paper: Cognitive Capital and Islands of Innovation: The Lucas Growth Model from a Regional Perspective (2011)
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:48:y:2014:i:4:p:624-645

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

DOI: 10.1080/00343404.2012.672726

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 ().