Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods

Eric Marcon () and Florence Puech ()
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Eric Marcon: ECOFOG - Ecologie des forêts de Guyane - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - UAG - Université des Antilles et de la Guyane - AgroParisTech - CNRS - Centre National de la Recherche Scientifique
Florence Puech: LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique

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Abstract: This study introduces two new measures of spatial concentration. The proposed M functions constitute an extension to Ripley's functions (Ripley, 1976, 1977). They allow the evaluation of the relative geographic concentration and co-location of industries in a non-homogeneous spatial framework. Some rigorous comparisons with similar recently developed tools prove the relevance of the M functions in the field of spatial economics.

Keywords: Geographic concentration; Distance-based methods; Ripley's K function; M function (search for similar items in EconPapers)
Date: 2009-04-01
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00372617v1
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Citations: View citations in EconPapers (13)

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