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Inside the black box of regional development--human capital, the creative class and tolerance

Open access
Florida, R., Mellander, C., Stolarick, K.·2008·Journal of Economic Geography

Abstract

While there is a general consensus on the importance of human capital to regional development, debate has emerged around two key issues. The first involves the efficacy of educational versus occupational measures (i.e. the creative class) of human capital, while the second revolves around the factors that effect its distribution. We use structural equation models and path analysis to examine the effects of these two alternative measures of human capital on regional income and wages, and also to isolate the effects of tolerance, consumer service amenities, and the university on its distribution. We find that human capital and the creative class effect regional development through different channels. The creative class outperforms conventional educational attainment measures in accounting for regional labor productivity measured as wages, while conventional human capital does better in accounting for regional income. We find that tolerance is significantly associated with both human capital and the creative class as well as with wages and income.

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Metadata

Authors
Florida, R., Mellander, C., & Stolarick, K.
Venue
Journal of Economic Geography
Published
2008-07-21
Volume
8
Issue
5
Pages
615-649
ISSN
  • 1468-2702 (ISSN-L)
  • 1468-2710
OpenAlex
W1988199510
Cited by
887
References
5
FWCI
86.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Inside the black box of regional development--human capital, the creative class and tolerance. https://app.cochat.ai/papers/10.1093/jeg/lbn023
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Florida, R., Mellander, C., & Stolarick, K. (2008). Inside the black box of regional development--human capital, the creative class and tolerance. Journal of Economic Geography. https://doi.org/10.1093/jeg/lbn023

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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.