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Agglomeration and dispersion of economic activities in and around Paris: an exploratory spatial data analysis

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  • Rachel Guillain
  • Julie Le Gallo

Abstract

The agglomeration patterns of twenty-six manufacturing and service sectors in and around Paris in 1999 are analysed. The method used measures the intensity of spatial agglomeration and identifies the location patterns of economic sectors. First the locational Gini coefficient and Moran’s I statistics of global spatial autocorrelation are computed. These provide different but complementary information about the spatial agglomeration of the sectors under study. Then exploratory spatial data analysis tools are applied. Moran scatterplots and local indicators of spatial association statistics reveal great diversity in location patterns across sectors.

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  • Rachel Guillain & Julie Le Gallo, 2010. "Agglomeration and dispersion of economic activities in and around Paris: an exploratory spatial data analysis," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 37(6), pages 961-981, November.
  • Handle: RePEc:pio:envirb:v:37:y:2010:i:6:p:961-981
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    Cited by:

    1. Boubaker, Sabri & Derouiche, Imen & Lasfer, Meziane, 2015. "Geographic location, excess control rights, and cash holdings," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 24-37.
    2. Luca Salvati & Giuseppe Venanzoni & Pere Serra & Margherita Carlucci, 2016. "Scattered or polycentric? Untangling urban growth in three southern European metropolitan regions through exploratory spatial data analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 1-29, July.
    3. Arauzo Carod, Josep Maria, 2015. "Agglomeration vs. dispersion of economic activities in the districts of Paris," Working Papers 2072/246965, Universitat Rovira i Virgili, Department of Economics.
    4. Derouiche, Imen & Jaafar, Kaouther & Zemzem, Ahmed, 2016. "Firm geographic location and voluntary disclosure," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 29-47.
    5. Arauzo-Carod, Josep-Maria & Manjón-Antolín, Miguel & Martínez , Óscar, 2015. "The Relocation of R&D Establishments in France: An Empirical Analysis," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 33, pages 97-119.
    6. Nicola Pontarollo & Carolina Serpieri, 2018. "A composite policy tool to measure territorial resilience capacity," JRC Working Papers JRC111389, Joint Research Centre (Seville site).
    7. Mirko Titze & Matthias Brachert & Alexander Kubis, 2014. "Actors and Interactions—Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities," Growth and Change, Wiley Blackwell, vol. 45(2), pages 163-190, June.
    8. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    9. Reades, Jonathan & Smith, Duncan, 2014. "Mapping the ‘space of flows’: the geography of global business telecommunications and employment specialization in the London mega-city-region," LSE Research Online Documents on Economics 55812, London School of Economics and Political Science, LSE Library.
    10. Min-Yang Lee & Cameron Spier & Andrew Carr-Harris & Sharon Benjamin, 2017. "Geographic Concentration of the Atlantic Sea Scallop Fishery," The Review of Regional Studies, Southern Regional Science Association, vol. 47(1), pages 25-46, Winter.
    11. Eri Yamada & Tetsu Kawakami, 2015. "Assessing dynamic externalities from a cluster perspective: the case of the motor metropolis in Japan," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 269-298, January.

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