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The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Creative Class and Regional Growth: Empirical Evidence from Seven European Countries

Boschma, Ron A., Fritsch, Michael·2009·Economic Geography

Abstract

This article analyzes the regional distribution and economic effect of the “creative class” on the basis of a unique data set that covers more than 500 regions in 7 European countries. The creative class is unevenly geographically distributed across Europe; the analyses show that a regional climate of tolerance and openness has a strong and positive effect on a region's share of these people. Regional job opportunities also have a large effect on the size of a region's population of the creative class. The findings reveal some evidence of a positive relationship among creative class occupation, employment growth, and entrepreneurship at the regional level in a number of European countries. On the basis of the analysis, however, it is not clear whether human capital, measured by creative occupation, outperforms indicators that are based on formal education, or if formal education has the stronger effect.

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Crossref · 10.1111/j.1944-8287.2009.01048.x

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Metadata

Authors
Boschma, R. A., & Fritsch, M.
Venue
Economic Geography
Publisher
Wiley
Published
2009-09
Volume
85
Issue
4
Pages
391-423
ISSN
  • 0013-0095 (ISSN-L)
  • 1944-8287
OpenAlex
W2744615047
Cited by
391
References
25
FWCI
82.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Creative Class and Regional Growth: Empirical Evidence from Seven European Countries. https://app.cochat.ai/papers/10.1111/j.1944-8287.2009.01048.x
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Boschma, R. A., & Fritsch, M. (2009). Creative Class and Regional Growth: Empirical Evidence from Seven European Countries. Economic Geography. https://doi.org/10.1111/j.1944-8287.2009.01048.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.