Detecting spatial clustering using a firm-level index

Tobias Scholl and Thomas Brenner

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).

MoreLess

Year of publication:	2013
Authors:	Scholl, Tobias ; Brenner, Thomas
Publisher:	Marburg : Philipps University Marburg, Department of Geography
Subject:	Spatial concentration \| localization \| clusters \| MAUP \| distance-based measures \| Regionales Cluster \| Regional cluster \| Räumliche Verteilung \| Spatial distribution \| Clusteranalyse \| Cluster analysis \| Räumliche Interaktion \| Spatial interaction \| Regionalökonomik \| Regional economics \| Agglomerationseffekt \| Agglomeration effect