Detecting new industry emergence using government data: a new analytic approach to regional innovation policy

Roe, G and Potts, J 2016, 'Detecting new industry emergence using government data: a new analytic approach to regional innovation policy', Innovation: Management, Policy and Practice, vol. 18, no. 3, pp. 373-388.


Document type: Journal Article
Collection: Journal Articles

Title Detecting new industry emergence using government data: a new analytic approach to regional innovation policy
Author(s) Roe, G
Potts, J
Year 2016
Journal name Innovation: Management, Policy and Practice
Volume number 18
Issue number 3
Start page 373
End page 388
Total pages 15
Publisher Routledge
Abstract This paper presents the rationale and method for a new model of innovation policy by regional government that is based on the early detection of the emergence of new industry clusters. The approach takes advantage of regional governments' superior access to distributed information about the categories of activities and investments that individual firms are making. By coding and analyzing this information we show how the nascent seeds of new industries can be detected in clusters of overlapping activities. Surprisingly, these patterns may be opaque to the firms themselves because other firms exploring similar opportunities may not be co-located or even in the same industry. We propose that this method of early detection can be leveraged into opportunities for 'industrial incubation' in the form of institutional support.
Subject Economic Development and Growth
Keyword(s) business intelligence
implementation
new industries
smart specialization
DOI - identifier 10.1080/14479338.2016.1229129
Copyright notice © 2016 Informa UK Limited, trading as Taylor and Francis Group
ISSN 1447-9338
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