Detecting Spatial Clustering Using a Firm-Level Index

Tobias Scholl () and Thomas Brenner ()
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Tobias Scholl: Schumpeter Center for Clusters, Entrepreneurship and Innnovation, University of Frankfurt

No 2012-02, Working Papers on Innovation and Space from Philipps University Marburg, Department of Geography

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).

Keywords: Spatial concentration; localization; clusters; MAUP; distance†based measures (search for similar items in EconPapers)
JEL-codes: C40 C60 R12 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2013-09
New Economics Papers: this item is included in nep-cse, nep-ecm, nep-geo, nep-sbm and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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