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Author |
Marcon, E.; Puech, F. |
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Title |
Measures of the geographic concentration of industries: improving distance-based methods |
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Journal Article |
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Year |
2010 |
Publication |
Journal of Economic Geography |
Abbreviated Journal |
J. Econ. Geogr. |
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Volume |
10 |
Issue |
5 |
Pages |
745-762 |
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Keywords |
Geographic concentration; distance-based methods; K-density function; Ripley's K function; M function; C40; C60; R12; L60 |
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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. |
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Address |
[Marcon, Eric] AgroParisTech ENGREF, UMR EcoFoG, Kourou 97310, French Guiana, Email: Florence.Puech@univ-lyon2.fr |
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Publisher |
OXFORD UNIV PRESS |
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ISSN |
1468-2702 |
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Notes |
ISI:000281183300009 |
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Call Number |
EcoFoG @ eric.marcon @ |
Serial |
43 |
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