Identifying industrial clusters from a multidimensional perspective

Abstract

"If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input-output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification." (Author's abstract, IAB-Doku) ((en))

Cite article

Brachert, M., Titze, M. & Kubis, A. (2011): Identifying industrial clusters from a multidimensional perspective. Methodical aspects with an application to Germany. In: Papers in regional science, Vol. 90, No. 2, p. 419-439. DOI:10.1111/j.1435-5957.2011.00356.x