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Exploring digital technology industry clusters using administrative and frontier data

Chapter
Publication Date:
2017
abstract:
Industrial clusters help firms and workers become more productive, so are of great interest to researchers and policymakers. However, exploring and analyzing such clusters is challenging. Big data and data-driven approaches can help. We study the emerging digital sector using big data obtained from administrative datasets but also from data science routines to develop modelled firm variables and firms’ activities. These matched datasets allow us to have new insights on the importance of digital technology sectors in the United Kingdom, their structure and their co-location patterns.
Iris type:
Capitolo di Libro
Keywords:
ICT; clusters; agglomeration; innovation; big data; data science
List of contributors:
Nathan, M.; Rosso, A.
Authors of the University:
ROSSO ANNA CECILIA
Handle:
https://irinsubria.uninsubria.it/handle/11383/2120934
Book title:
Big Data for Regional Science
Published in:
ROUTLEDGE ADVANCES IN REGIONAL ECONOMICS, SCIENCE AND POLICY
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