Measures of the geographic concentration of industries: improving distance-based methods

被引：101

作者：

Marcon, Eric ^{[1
]}

Puech, Florence ^{[1
]}

机构：

[1] AgroParisTech ENGREF, UMR EcoFoG, Kourou 97310, French Guiana

来源：

JOURNAL OF ECONOMIC GEOGRAPHY | 2010年 / 10卷 / 05期

关键词：

Geographic concentration; distance-based methods; K-density function; Ripley's K function; M function; C40; C60; R12; L60; POINT PATTERN-ANALYSIS; LOCALIZATION; ORGANIZATION; SIZE;

D O I：

10.1093/jeg/lbp056

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：745 / 762

页数：18

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