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The European Cluster Observatory
TCI Global Conference, Gurgaon, 1 December 2010
Göran LindqvistCSC, Stockholm School of Economics
A knowledge platform for the European policy community facilitating analysis and supporting fact-based policy
2 Lindqvist, TCI Global Conference, 1 Dec 2010
Key activitiesStatistical cluster data and regional competitiveness datao Collect secondary statistical data from national statistical
agencieso Process and assemble the data in a database
Data about cluster organisationso Identify them with secondary data (Google, reports, etc)o Solicit primary data (website users)
Make the data publically available on a websiteProduce analysis and reportsProvide a ”library” for cluster-related documents
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Cluster mappingMultiple indicators: employment, firms (units), wages, growthComparable data across all of Europe
Gives you answers to questions like:”In which European regions is a certain sector concentrated?””In which sectors is a certain European region specialised?
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Cluster Mapping
Example of non-cluster use:
Services vs.manufacturing
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Typical uses:Observatory reports, examples:o Creative and cultural industries clusterso Mobility industries clusterso Smart specialisation in European regionso Service vs. manufacturing orientation
Other EU uses, examples:o A reference source for cluster policy reports by the
European Commission
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Typical usesNational and regional reports
Academic books,articles, working papers, etc.(currently 104 hits on Google Scholar)
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EU and India: an important difference
India EU
Competitiveness = productivity Competitiveness = innovation
Improve qualtity and efficiencyEnhance knowledge flowsbetween firms, research and education
Best done in homogoneousgroups of firms producing same or similar products
Best done in systems of related industries and ”triple helix”, and across clusters
Narrow cluster definition Wide cluster definition
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Contact
Göran Lindqvist, PhDCenter for Strategy and CompetitivenessStocholm School of Economicswww.sse.edu/cscgoran.lindqvist@hhs.se+46 8 7369524
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