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A measure for identifying substantial geographic concentrations
Author(s) -
Egeraat Chris,
Morgenroth Edgar,
Kroes Rutger,
Curran Declan,
Gleeson Justin
Publication year - 2018
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/pirs.12241
Subject(s) - measure (data warehouse) , index (typography) , scale (ratio) , range (aeronautics) , econometrics , environmental resource management , environmental science , business , computer science , economics , geography , data mining , cartography , engineering , aerospace engineering , world wide web
Regional industrial policy emphasizes the notion of building on existing concentrations of competitive firms. A range of measures to identify such concentrations has been put forward in the literature. These measures, however, do not identify substantial concentrations which have the best potential for further development, tend to concentrate on scale measured by employment, and are applied using data for pre‐specified administrative boundaries. This paper presents a new concentration index that identifies substantial concentrations and utilizes information on both the number and size of plants. It also proposes a method for generating relevant industry‐specific spatial units.