Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/111878
Authors: 
Scholl, Tobias
Brenner, Thomas
Year of Publication: 
2013
Series/Report no.: 
Working Papers on Innovation and Space 02.12
Abstract: 
We present a new statistical method that detects industrial clusters at a firm level. The proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our metric differs both in its calculation and interpretation from existing distance-based metrics and shows four central properties that enable its meaningful usage for cluster analysis. The method fulfills all five criteria for a test of localization proposed by Duranton and Overman (2005).
Subjects: 
Spatial concentration
localization
clusters
MAUP
distance-based measures
JEL: 
C40
C60
R12
Document Type: 
Working Paper

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