The geography of French creative class: An exploratory spatial data analysis
AbstractThis 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.
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Bibliographic InfoPaper provided by Groupe de Recherche en Economie Théorique et Appliquée in its series Cahiers du GREThA with number 2010-16.
Date of creation: 2010
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Creative class; ESDA; location patterns; spatial autocorrelation; French districts;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- O18 - Economic Development, 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-09-25 (All new papers)
- NEP-GEO-2010-09-25 (Economic Geography)
- NEP-URE-2010-09-25 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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.
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