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.
Exploring digital technology industry clusters using administrative and frontier data / M. Nathan, A. Rosso - In: Big Data for Regional Science / [a cura di] L.A Schintler, Z. Chen. - Prima edizione. - [s.l] : Routledge, 2017. - ISBN 9781351983266. - pp. 143-152
Titolo: | Exploring digital technology industry clusters using administrative and frontier data |
Autori: | |
Parole Chiave: | ICT; clusters; agglomeration; innovation; big data; data science |
Settore Scientifico Disciplinare: | Settore SECS-P/01 - Economia Politica Settore SECS-P/02 - Politica Economica Settore SECS-P/06 - Economia Applicata |
Data di pubblicazione: | 2017 |
Tipologia: | Book Part (author) |
Appare nelle tipologie: | 03 - Contributo in volume |
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