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Factors explaining the spatial agglomeration of the Creative Class. Empirical evidence for German artists

Author

Listed:
  • Christoph Alfken

    (Institue of Economic and Cultural Geography, Leibnitz-University of Hannover)

  • Tom Broekel

    (Institue of Economic and Cultural Geography, Leibnitz-University of Hannover)

  • Rolf Sternberg

    (Institue of Economic and Cultural Geography, Leibnitz-University of Hannover)

Abstract

The paper contributes to the ongoing debate about the relative importance of economic and amenity-related location factors for attracting talents or members of the creative class. While Florida highlights the role of amenities, openness, and tolerance, others instead emphasize the role of regional productions systems, local labour markets and externalities. The paper sheds light on this issue by analysing changes in the spatial distribution of four groups of artists over time: visual artists, performing artists, musicians, and writers. Little evidence is found for amenity-related factors influencing the growth rates of regional artist populations. Moreover, artists are shown to be a heterogeneous group inasmuch as the relative importance of regional factors significantly differs between artist branches.

Suggested Citation

  • Christoph Alfken & Tom Broekel & Rolf Sternberg, 2013. "Factors explaining the spatial agglomeration of the Creative Class. Empirical evidence for German artists," Working Papers on Innovation and Space 2013-02, Philipps University Marburg, Department of Geography.
  • Handle: RePEc:pum:wpaper:2013-02
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    References listed on IDEAS

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    Cited by:

    1. Roman Martin & Jan Ole Rypestøl, 2018. "Linking content and technology: on the geography of innovation networks in the Bergen media cluster," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 966-989, November.
    2. Gong, Huiwen & Hassink, Robert, 2016. "What drives the geographies of creative industries? From literature review to research agenda," Papers in Innovation Studies 2016/9, Lund University, CIRCLE - Centre for Innovation Research.
    3. Niusha Esmaeilpoorarabi & Tan Yigitcanlar & Mirko Guaralda, 2016. "Place quality and urban competitiveness symbiosis? A position paper," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 7(1), pages 4-21.
    4. Jinliao He & Jue Peng & Gang Zeng, 2023. "The Spatiality of the Creative Digital Economy: Local Amenities to the Spatial Agglomeration of Creative E-Freelancers in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4608-4629, December.
    5. Gutierrez-Posada, Diana & Kitsos, Tasos & Nathan, Max & Nuccio, Massimiliano, 2021. "Do Creative Industries Generate Multiplier Effects? Evidence from UK Cities, 1997-2018," SocArXiv xs8zg, Center for Open Science.
    6. Cattivelli, Valentina & Stawinoga, Agnieszka, 2019. "A revised application of 3Ts´ Florida in peri-urban areas," MPRA Paper 99221, University Library of Munich, Germany.
    7. Annie Tubadji & Thomas Colwill & Don Webber, 2021. "Voting with your feet or voting for Brexit: The tale of those stuck behind," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(2), pages 247-277, April.
    8. Zhenshan Yang, 2023. "Human capital space: a spatial perspective of the dynamics of people and economic relationships," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    9. Esmaeilpoorarabi, Niusha & Yigitcanlar, Tan & Guaralda, Mirko & Kamruzzaman, Md., 2018. "Evaluating place quality in innovation districts: A Delphic hierarchy process approach," Land Use Policy, Elsevier, vol. 76(C), pages 471-486.
    10. Esmaeilpoorarabi, Niusha & Yigitcanlar, Tan & Guaralda, Mirko & Kamruzzaman, Md., 2018. "Does place quality matter for innovation districts? Determining the essential place characteristics from Brisbane’s knowledge precincts," Land Use Policy, Elsevier, vol. 79(C), pages 734-747.
    11. Adu-McVie, Rosemary & Yigitcanlar, Tan & Erol, Isil & Xia, Bo, 2021. "Classifying innovation districts: Delphi validation of a multidimensional framework," Land Use Policy, Elsevier, vol. 111(C).
    12. Wentao Yu & Xiaolan Tan, 2022. "The creative class in China: Heterogeneity and its regional determinants," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3466-3478, December.

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    More about this item

    Keywords

    Artists; bohemians; creative class; spatial dynamics; amenities; agglomeration;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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