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Location and spatial clustering of artists

Author

Listed:
  • Andersson, Åke E.
  • Andersson, David Emanuel
  • Daghbashyan, Zara
  • Hårsman, Björn

Abstract

Surveys of artists' location choices show that they disproportionately reside in large cities. This paper introduces a model that attempts to explain this urban preference. The model includes four factors: access to other artists; access to consumer demand; access to service jobs; and housing affordability. These four factors are combined in a spatial equilibrium model. An equilibrium spatial distribution of artists is derived from the model and is correlated with the actual distribution among Swedish municipalities. Subsequently, the model is used for an econometric estimation of factor effects. The results show that access to other artists and local access to service jobs are important localization factors. Educated labor used as a proxy for consumer demand has a significant effect on artists' location choices.

Suggested Citation

  • Andersson, Åke E. & Andersson, David Emanuel & Daghbashyan, Zara & Hårsman, Björn, 2014. "Location and spatial clustering of artists," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 128-137.
    • Handle: RePEc:eee:regeco:v:47:y:2014:i:c:p:128-137
    DOI: 10.1016/j.regsciurbeco.2013.09.008
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    Cited by:

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    2. Fikri Zul Fahmi, 2015. "Regional Distribution of Creative and Cultural Industries in Indonesia," ERSA conference papers ersa15p914, European Regional Science Association.
    3. David Emanuel Andersson & Ã…ke E. Andersson, 2019. "Phase transitions as a cause of economic development," Environment and Planning A, , vol. 51(3), pages 670-686, May.
    4. Iván Boal-San Miguel & Luis César Herrero-Prieto, 2020. "A Spatial–Temporal Analysis of Cultural and Creative Industries with Micro-Geographic Disaggregation," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    5. Coll Martínez, Eva, 2017. "Creativity and the City: Testing the Attenuation of Agglomeration Economies fo r the Creative Industries in Barcelona," Working Papers 2072/292435, Universitat Rovira i Virgili, Department of Economics.
    6. Eva Coll-Martínez, 2019. "Creativity and the city: testing the attenuation of agglomeration economies in Barcelona," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(3), pages 365-395, September.
    7. Chun‐Yu Ho & Yue Sheng, 2022. "Productivity advantage of large cities for creative industries," Papers in Regional Science, Wiley Blackwell, vol. 101(6), pages 1289-1306, December.
    8. Tao, Jin & Ho, Chun-Yu & Luo, Shougui & Sheng, Yue, 2019. "Agglomeration economies in creative industries," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 141-154.

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    More about this item

    Keywords

    Location choice; Artists; Clustering; Knowledge externalities;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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