Nathan, Max;
Rosso, Anna;
Bouet, Francois;
(2014)
Mapping information economy business with big data: findings from the UK.
Nesta: London, UK.
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Abstract
Information and Communications Technologies – and the digital economy they support – are of enduring interest to researchers and policymakers. National and local government are particularly keen to understand the characteristics and growth potential of ‘their’ digital businesses. Given the recent resurgence of interest in industrial policy across many developed countries (Rodrik 2004, Aiginger 2007, Harrison and Rodríguez–Clare 2009, Aghion, Dewatripont et al. 2012, Aghion, Besley et al. 2013), there is now substantial policy interest in developing stronger, more competitive digital economies. For example, the UK’s current industrial strategy (Cable 2012) combines horizontal interventions with support for seven key sectors, of which the ‘information economy’ is one (Department for Business Innovation and Skills 2012, Department for Business Innovation and Skills 2013). The desire to grow high–tech clusters is often prominent in the policy mix – for instance the UK’s Tech City UK initiative, Regional Innovation Clusters in the US and elements of ‘smart specialisation’ policies in the EU (Nathan and Overman 2013).
Type: | Report |
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Title: | Mapping information economy business with big data: findings from the UK |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.nesta.org.uk/report/mapping-informatio... |
Language: | English |
Additional information: | © 2023 Nesta. All our work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
URI: | https://discovery.ucl.ac.uk/id/eprint/10175133 |
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