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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Bibliographic Details
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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Summary: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.
ISSN:1468-2702
1468-2710
DOI:10.1093/jeg/lbp056