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

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 introduci...

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Published in:Journal of economic geography 2010-09, Vol.10 (5), p.745-762
Main Authors: Marcon, Eric, Puech, Florence
Format: Article
Language:English
Subjects:
Confidence interval
Density distributions
Economic activity
Economic geography
Geodetic position
Geography
Industrial areas
Industrial concentration
Industrial plants
Location of industry
Null hypothesis
Overman
Probability distribution
Studies
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description 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.
doi_str_mv 10.1093/jeg/lbp056
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source EconLit s plnými texty; JSTOR Archival Journals and Primary Sources Collection; Oxford Journals Online
subjects Confidence interval
Density distributions
Economic activity
Economic geography
Geodetic position
Geography
Industrial areas
Industrial concentration
Industrial plants
Location of industry
Null hypothesis
Overman
Probability distribution
Studies
title Measures of the geographic concentration of industries: improving distance-based methods
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