Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Measuring Knowledge Bases in Swedish Regions

Martin, Roman LU (2012) In European Planning Studies 20(9). p.1569-1582
Abstract
Within the literature on innovation systems, there are a growing number of scholars emphasizing the importance of differentiated knowledge bases underlying innovation activities. The existing work on knowledge bases is largely grounded on in-depth case studies; while surprisingly little effort has been done so far to operationalize the concept in a more systematic manner. In this article, an attempt is made to develop a scheme of analysis to identify the knowledge base of a regional economy. We suggest using occupation data in association with a location quotient analysis, to assess whether a regional economy has a particular strength in one (or more) knowledge bases. To bring the analytical scheme into practice and assess it, we apply it... (More)
Within the literature on innovation systems, there are a growing number of scholars emphasizing the importance of differentiated knowledge bases underlying innovation activities. The existing work on knowledge bases is largely grounded on in-depth case studies; while surprisingly little effort has been done so far to operationalize the concept in a more systematic manner. In this article, an attempt is made to develop a scheme of analysis to identify the knowledge base of a regional economy. We suggest using occupation data in association with a location quotient analysis, to assess whether a regional economy has a particular strength in one (or more) knowledge bases. To bring the analytical scheme into practice and assess it, we apply it on the county level in Sweden. The results are explained and contrasted with insights into the regional economies taken from secondary sources. We conclude that the proposed scheme of analysis leads to fairly reliable results, and could stimulate further empirical research on differentiated knowledge bases. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Planning Studies
volume
20
issue
9
pages
1569 - 1582
publisher
Taylor & Francis
external identifiers
  • wos:000308703000009
  • scopus:84866341751
ISSN
1469-5944
DOI
10.1080/09654313.2012.708022
language
English
LU publication?
yes
id
b142b8c7-79eb-48bf-ad1d-69c29244d2ef (old id 3146709)
date added to LUP
2016-04-01 10:28:04
date last changed
2024-01-21 14:49:17
@article{b142b8c7-79eb-48bf-ad1d-69c29244d2ef,
  abstract     = {{Within the literature on innovation systems, there are a growing number of scholars emphasizing the importance of differentiated knowledge bases underlying innovation activities. The existing work on knowledge bases is largely grounded on in-depth case studies; while surprisingly little effort has been done so far to operationalize the concept in a more systematic manner. In this article, an attempt is made to develop a scheme of analysis to identify the knowledge base of a regional economy. We suggest using occupation data in association with a location quotient analysis, to assess whether a regional economy has a particular strength in one (or more) knowledge bases. To bring the analytical scheme into practice and assess it, we apply it on the county level in Sweden. The results are explained and contrasted with insights into the regional economies taken from secondary sources. We conclude that the proposed scheme of analysis leads to fairly reliable results, and could stimulate further empirical research on differentiated knowledge bases.}},
  author       = {{Martin, Roman}},
  issn         = {{1469-5944}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{1569--1582}},
  publisher    = {{Taylor & Francis}},
  series       = {{European Planning Studies}},
  title        = {{Measuring Knowledge Bases in Swedish Regions}},
  url          = {{http://dx.doi.org/10.1080/09654313.2012.708022}},
  doi          = {{10.1080/09654313.2012.708022}},
  volume       = {{20}},
  year         = {{2012}},
}