A Methodology for Identifying the Drivers of Industrial Clusters: The Foundation of Regional Competitive Advantage

Abstract

This article presents a theoretically based method for identifying the clusters of industries in which a region has a competitive advantage. The method combines cluster analysis with discriminant analysis, using variables derived from economic base theory and measures of productivity, to identify the industries in which a region has its greatest competitive advantage. These industries are called driver industries because they drive the region’s economy. The driver industries are linked to supplier and customer industries with information from a region-specific input-output model to form industry clusters. After introductory comments about cluster-based approaches to understanding regional economies, the authors present an overview of their method and the variables used. They then apply this method to the Cleveland-Akron Consolidated Metropolitan Statistical Area.

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