@Article{Marcon+Puech2010,
author="Marcon, E.
and Puech, F.",
title="Measures of the geographic concentration of industries: improving distance-based methods",
journal="Journal of Economic Geography",
year="2010",
publisher="OXFORD UNIV PRESS",
volume="10",
number="5",
pages="745--762",
optkeywords="Geographic concentration",
optkeywords="distance-based methods",
optkeywords="K-density function",
optkeywords="Ripley{\textquoteright}s K function",
optkeywords="M function",
optkeywords="C40",
optkeywords="C60",
optkeywords="R12",
optkeywords="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.",
optnote="ISI:000281183300009",
optnote="exported from refbase (http://php.ecofog.gf/refbase/show.php?record=43), last updated on Wed, 04 May 2011 12:16:22 -0300",
issn="1468-2702"
}