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Cambridge Journal of Regions, Economy and Society 2008 1(2):205-217; doi:10.1093/cjres/rsn012
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© The Author 2008. Published by Oxford University Press on behalf of the Cambridge Political Economy Society. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org

This article appears in the following Cambridge Journal of Regions, Economy and Society issue: Knowledge Networks and Innovation [View the issue table of contents]

Dynamic models of regional innovation: explorations with British time-series data

Ciaran Drivera and Christine Oughtonb

a Tanaka Business School, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. c.driver{at}imperial.ac.uk
b School of Economics and Management, Free University of Bozen-Bolzano, Sernesistrasse 1, via Sernesi 1, 39100 Bozen-Bolzano, Italy. christine.oughton{at}unibz.it


  Abstract

In this paper, we analyse a new dataset on innovation in the British regions from 1990 to 2006. We interpret these data as representing the rate of growth of investment in innovation which we analyse using a range of estimators. The paper explores the role of macro- and microeconomic determinants of innovation. In addition to standard determinants that help to explain the decline in innovation from the late 1990s, our findings also support the hypothesis of path dependence in innovation and the importance of human capital. These findings are consistent with the literature on absorptive capacity and suggest a role for regional policies to promote investment in innovation and training as well as appropriate macroeconomic policies.

Keywords: region, innovation, UK, manufacturing absorptive capacity

Received on January 28, 2008. Accepted on April 14, 2008.

JEL codes: R1, L6


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