Éditeur(s) : HAL CCSD Oxford University Press (OUP): Policy F
Résumé : JEL classification: C40, C60, L60, R12
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.
ISSN: 1468-2702

halshs-00372646
https://halshs.archives-ouvertes.fr/halshs-00372646

Éditeur(s) : HAL CCSD Oxford University Press (OUP): Policy F
Résumé : International audience
We discuss a property of distance-based measures that has not been addressed with regard to evaluating the geographic concentration of economic activities. The article focuses on the choice between a probability density function of point-pair distances or a cumulative function. We begin by introducing a new cumulative function, M, for evaluating the relative geographic concentration and the co-location of industries in a non-homogeneous spatial framework. Secondly, some rigorous comparisons are made with the leading probability density function of Duranton and Overman (2005), Kd. The merits of the simultaneous use of Kd and M is proved, underlining the complementary nature of the results they provide.
Journal of Economic Geography

hal-01094082
https://hal-agroparistech.archives-ouvertes.fr/hal-01094082
DOI : 10.1093/jeg/lbp056