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Evaluating the geographic concentration of industries using distance-based methods

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Author Info
Eric Marcon
Florence Puech
Abstract

We propose new methods for evaluating the spatial distribution of firms. To assess whether firms are concentrated or dispersed, economists have tradi-tionally used indices that analyse the heterogeneity of a spatial structure at a single geographic level. We introduce distance-based methods, Besag's L function (derived from Ripley's K function) and Diggle and Chetwynd's D function to describe simultaneously spatial distribution at different geographical scales. Our empirical applications consider the distribution of French manufacturing firms in the Paris area and in France generally. For some geographic levels, results show significant concentration or dispersion of firms according to their sector of activity. Copyright 2003, Oxford University Press.

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Publisher Info
Article provided by Oxford University Press in its journal Journal of Economic Geography.

Volume (Year): 3 (2003)
Issue (Month): 4 (October)
Pages: 409-428
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Handle: RePEc:oup:jecgeo:v:3:y:2003:i:4:p:409-428

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  1. Frank Bickenbach & Eckhardt Bode, 2006. "Disproportionality Measures of Concentration, Specialization, and Polarization," Kiel Working Papers 1276, Kiel Institute for the World Economy. [Downloadable!]
  2. Jenifer Ruiz-Valenzuela & Rosina Moreno-Serrano & Esther Vaya-Valcarce, 2006. "Concentration of the Economic Activity: Comparing Methodologies and Geographic Units," ERSA conference papers ersa06p197, European Regional Science Association. [Downloadable!]
  3. Miren Lafourcade & Giordano Mion, 2005. "Concentration, agglomeration and the size of plants," PSE Working Papers 2005-42, PSE (Ecole normale supérieure). [Downloadable!]
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  4. Ugo Fratesi, 2004. "Measuring and Explaining Localisation: Evidence from two British Sectors," Urban/Regional 0407003, EconWPA. [Downloadable!]
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