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Author Marcon, E.; Puech, F.
Title Measures of the geographic concentration of industries: improving distance-based methods Type Journal Article
Year 2010 Publication Journal of Economic Geography Abbreviated Journal J. Econ. Geogr.
Volume (down) 10 Issue 5 Pages 745-762
Keywords Geographic concentration; distance-based methods; K-density function; Ripley's K function; M function; C40; C60; R12; L60
Abstract 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.
Address [Marcon, Eric] AgroParisTech ENGREF, UMR EcoFoG, Kourou 97310, French Guiana, Email: Florence.Puech@univ-lyon2.fr
Corporate Author Thesis
Publisher OXFORD UNIV PRESS Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1468-2702 ISBN Medium
Area Expedition Conference
Notes ISI:000281183300009 Approved no
Call Number EcoFoG @ eric.marcon @ Serial 43
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