IDEAS home Printed from
   My bibliography  Save this paper

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


  • Sébastien CHANTELOT (ESC Bretagne Brest)
  • Stéphanie PERES (USC INRA 2032 GAIA)
  • Stéphane VIROL (GREThA, UMR CNRS 5113)


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.

Suggested Citation

  • Sébastien CHANTELOT (ESC Bretagne Brest) & Stéphanie PERES (USC INRA 2032 GAIA) & Stéphane VIROL (GREThA, UMR CNRS 5113), 2010. "The geography of French creative class: An exploratory spatial data analysis," Cahiers du GREThA 2010-16, Groupe de Recherche en Economie Théorique et Appliquée.
  • Handle: RePEc:grt:wpegrt:2010-16

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    2. David Mcgranahan & Timothy Wojan, 2007. "Recasting the Creative Class to Examine Growth Processes in Rural and Urban Counties," Regional Studies, Taylor & Francis Journals, vol. 41(2), pages 197-216.
    3. Høgni Kalsø Hansen & Thomas Niedomysl, 2009. "Migration of the creative class: evidence from Sweden," Journal of Economic Geography, Oxford University Press, vol. 9(2), pages 191-206, March.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. repec:wsi:jecxxx:v:23:y:2015:i:01:n:s021849581550003x is not listed on IDEAS
    2. 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.

    More about this item


    Creative class; ESDA; location patterns; spatial autocorrelation; French districts;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:grt:wpegrt:2010-16. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valerio Sterzi). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.