IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01143933.html
   My bibliography  Save this paper

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 - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université 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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    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. Åke Andersson, 1985. "Creativity And Regional Development," Papers in Regional Science, Wiley Blackwell, vol. 56(1), pages 5-20, January.
    4. 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

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


    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. 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.
    3. 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.
    4. 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.
    5. Cattivelli, Valentina & Stawinoga, Agnieszka, 2019. "A revised application of 3Ts´ Florida in peri-urban areas," MPRA Paper 99221, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cattivelli, Valentina & Stawinoga, Agnieszka, 2019. "A revised application of 3Ts´ Florida in peri-urban areas," MPRA Paper 99221, University Library of Munich, Germany.
    2. Aurélie LALANNE & Guillaume POUYANNE, 2012. "Ten years of metropolization in economics: a bibliometric approach (In French)," Cahiers du GREThA (2007-2019) 2012-11, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    3. Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2013. "High Performance in Complex Spatial Systems: A Self-Organizing Mapping Approach with Reference to The Netherlands," Tinbergen Institute Discussion Papers 13-194/VIII, Tinbergen Institute.
    4. Mark D. Partridge & M. Rose Olfert, 2011. "The Winners' Choice: Sustainable Economic Strategies for Successful 21st-Century Regions," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(2), pages 143-178.
    5. Sara Santos Cruz & Aurora A.C. Teixeira, 2012. "Methodological approaches for measuring the creative employment: a critical appraisal with an application to Portugal," FEP Working Papers 455, Universidade do Porto, Faculdade de Economia do Porto.
    6. Sara Cruz & Aurora Teixeira, 2015. "The neglected heterogeneity of spatial agglomeration and co-location patterns of creative employment: evidence from Portugal," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 143-177, January.
    7. David A. McGranahan & Timothy R. Wojan & Dayton M. Lambert, 2011. "The rural growth trifecta: outdoor amenities, creative class and entrepreneurial context -super-§," Journal of Economic Geography, Oxford University Press, vol. 11(3), pages 529-557, May.
    8. Margaret Olfert & Mark Partridge, 2011. "Creating the Cultural Community: Ethnic Diversity vs. Agglomeration," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(1), pages 25-55.
    9. Michael Stuetzer & Martin Obschonka & Udo Brixy & Rolf Sternberg & Uwe Cantner, 2014. "Regional characteristics, opportunity perception and entrepreneurial activities," Small Business Economics, Springer, vol. 42(2), pages 221-244, February.
    10. Chantelot Sèbastien, 2011. "French creative clusters: An exploratory spatial data analysis," ERSA conference papers ersa10p477, European Regional Science Association.
    11. Bjerke, Lina & Mellander, Charlotta, 2019. "Mover Stayer Winner Loser - A study of income effects from rural migration," Working Paper Series in Economics and Institutions of Innovation 476, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    12. Kai Zhao & Yuesheng Zhang & Jinkai Zhao & Xiaojing Li, 2020. "Understanding Contributions of the Creative Class to Sustainable Economic Growth in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    13. Richard Florida & Charlotta Mellander & Patrick Adler, 2011. "The Creative Class Paradigm," Chapters, in: David Emanuel Andersson & Åke E. Andersson & Charlotta Mellander (ed.), Handbook of Creative Cities, chapter 3, Edward Elgar Publishing.
    14. Vitálišová Katarína & Vaňová Anna & Šúrová Janka, 2020. "How to Attract and Retain Creative Class," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 13(1), pages 245-266, June.
    15. Kristina Vaarst Andersen & Høgni Kalsø Hansen & Arne Isaksen & Mika Raunio, 2010. "Nordic City Regions in the Creative Class Debate—Putting the Creative Class Thesis to a Test," Industry and Innovation, Taylor & Francis Journals, vol. 17(2), pages 215-240.
    16. Alina Maria Pavelea & Bogdana Neamțu & Peter Nijkamp & Karima Kourtit, 2021. "Is the Creative Class a Game Changer in Cities? A Socioeconomic Study on Romania," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    17. Lily Kiminami & Akira Kiminami & Shinichi Furuzawa, 2018. "Impacts of multi-functionality of urban agriculture on the CCs in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 507-527, August.
    18. Mikaela Backman & Pia Nilsson, 2018. "The role of cultural heritage in attracting skilled individuals," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(1), pages 111-138, February.
    19. 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.
    20. David B. Audretsch & Erik E. Lehmann & Nikolaus Seitz, 2021. "Amenities, subcultures, and entrepreneurship," Small Business Economics, Springer, vol. 56(2), pages 571-591, February.

    More about this item

    Keywords

    exploratory spatial data analysis; creativity; France;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    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:hal:journl:hal-01143933. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.