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Cited by 678

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

Creative cities: the cultural industries and the creative class

Open access
Pratt, Andy C.·2008·Geografiska Annaler: Series B, Human Geography

Abstract

.The aim of this article is to critically examine the notion that the creative class may or may not play as a causal mechanism of urban regeneration. I begin with a review of Florida's argument focusing on the conceptual and theoretical underpinnings. The second section develops a critique of the relationship between the creative class and growth. This is followed by an attempt to clarify the relationship between the concepts of creativity, culture and the creative industries. Finally, I suggest that policy‐makers may achieve more successful regeneration outcomes if they attend to the cultural industries as an object that links production and consumption, manufacturing and service. Such a notion is more useful in interpreting and understanding the significant role of cultural production in contemporary cities, and what relation it has to growth.

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Crossref · 10.1111/j.1468-0467.2008.00281.x

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Metadata

Authors
Pratt, A. C.
Venue
Geografiska Annaler: Series B, Human Geography
Published
2008-06
Volume
90
Issue
2
Pages
107-117
ISSN
  • 0435-3684 (ISSN-L)
  • 1468-0467
OpenAlex
W1567567901
Cited by
678
References
25
FWCI
88.37
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Creative cities: the cultural industries and the creative class. https://app.cochat.ai/papers/10.1111/j.1468-0467.2008.00281.x
The paper
Pratt, A. C. (2008). Creative cities: the cultural industries and the creative class. Geografiska Annaler: Series B, Human Geography. https://doi.org/10.1111/j.1468-0467.2008.00281.x

Data sources

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.