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The geography of French creative class : An exploratory spatial data analysis

Author

Listed:
  • Stéphanie Peres

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Sébastien Chantelot

    (LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - UT2J - Université Toulouse - Jean Jaurès - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - Institut d'Études Politiques [IEP] - Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville)

  • Stéphane Virol

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper analyses the creative class geography in France, in 2006. This geography is seen here through the lens of Explanatory Spatial Data Analysis (ESDA). This method brings originality to the question of creative people geography in addition to the spatial context, France, where this question hasn’t been deepened yet. Methodology allows measurement of spatial agglomeration degree and identification of creative people location patterns. First, by computing locational Gini index and Moran’s I statistic of global spatial autocorrelation. These measures provide an overview of the spatial distribution of creative people among French districts and the existence of some hotspot regions with strong dynamic of creative people accumulation. Second, Exploratory Spatial Data Analysis (ESDA) tools, such as Moran scatterplot and LISA statistics, allow to identify district clusters of creative people. It leads to evidence that creative people are unevenly geographically distributed across French districts. District clusters of creative occupations result from spreading of French largest cities influence.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Stéphanie Peres & Sébastien Chantelot & Stéphane Virol, 2010. "The geography of French creative class : An exploratory spatial data analysis," Post-Print hal-01143933, HAL.
    • Handle: RePEc:hal:journl:hal-01143933
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    Cited by:

    1. Daniel Sanchez-Serra, 2014. "Talent and Creative Economy in French Local Labour Systems," Environment and Planning C, , vol. 32(3), pages 405-425, June.
    2. Timo Tohmo, 2015. "The Creative Class Revisited: Does the Creative Class Affect the Birth Rate of High-tech Firms in Nordic Countries?," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 63-89.
    3. Cattivelli, Valentina & Stawinoga, Agnieszka, 2019. "A revised application of 3Ts´ Florida in peri-urban areas," MPRA Paper 99221, University Library of Munich, Germany.
    4. Arauzo Carod, Josep Maria & Coll Martínez, Eva & Turcu, Camelia, 2018. "Where New Creative Industries Locate? Evidence from French Departments," Working Papers 2072/307042, Universitat Rovira i Virgili, Department of Economics.
    5. Bagher Fotuhi Mehrabani & Saeed Zanganeh Shahraki & Seyed Ali Hosseini & Narges Ahmadifard & Seyed Mohammad Hosseini & Arastoo Yari Hesar, 2022. "How Creative is Tehran? An International and National Benchmarking Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 33-69, July.

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    Keywords

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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