A Spatial ICT Clusters in Sweden – An Empirical Method to Identify Necessary Conditions for Existence

Charlie Karlsson (), Charlotta Mellander and Thomas Paulsson ()
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Thomas Paulsson: CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology, Postal: CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology, SE-100 44 Stockholm, Sweden, http://www.ihh.hj.se/eng/

No 12, Working Paper Series in Economics and Institutions of Innovation from Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies

Abstract: An empirical method to identify the existence of a spatial cluster is proposed. The method, based upon regression analysis, offers researchers to categorise regions, municipalities, or cities with respect to their over- or under-representation in number of establishments and employment for any arbitrary industry. It is suggested that a necessary condition for the existence of a cluster entails a significant overrepresentation in both the number of establishments as well as in employment for any given sector in a region. Furthermore, this over-representation should be related to the size of the region. The categorisation generated by the proposed method has evident policy implications for any region aiming at developing and supporting a potential or emerging cluster. This paper offers an analysis of the ICT-sector in Sweden, where the proposed method is used to identify potential clusters in the 81 Swedish functional regions. A comparison in time between 1990 and 2000 is also presented.

Keywords: Industrial clusters; agglomeration; economies of scale; ICT sector; functional region; Sweden (search for similar items in EconPapers)
JEL-codes: L10 M13 O31 O40 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2004-11-24
New Economics Papers: this item is included in nep-ent and nep-ino
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Citations: View citations in EconPapers (3)

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Related works:
Working Paper: Spatial ICT Clusters in Sweden ? An Empirical Method to Identify a Necessary Condition for Existence (2003)
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