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Creativity, Cities, and Innovation

Authors: Neil Lee; Andrés Rodríguez-Pose;

Creativity, Cities, and Innovation

Abstract

The creative industries have long been seen as an innovative sector. More recent research posits that creative occupations are also a fundamental, but overlooked, driver of innovation. Theory also suggests cities are important for both creative industries and occupations, with urban environments helping firms innovate. Yet little empirical work has considered the links between creative industries, occupations, cities, and innovation at the firm level. This paper addresses this gap using a sample of over 9000 UK SMEs. Our results stress that creative industries firms are more likely to introduce original product innovations, but not those learnt from elsewhere. Creative occupations, however, appear a more robust general driver of innovation. We find no support for the hypothesis that urban creative industries firms are particularly innovative. However, creative occupations are used in cities to introduce product innovations learnt elsewhere. The results suggest that future work needs to seriously consider the importance of occupations in empirical studies of innovation.

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Keywords

Innovation; Creative Industries; Creative Occupations; Cities; Learning, Cities; Creative industries; Creative occupations; Innovation; Learning, jel: jel:O31, jel: jel:R58, jel: jel:O38, jel: jel:R11

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    59
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
59
Top 10%
Top 10%
Top 10%
bronze