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

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  • Ciaran Driver
  • Christine Oughton

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. Copyright 2008, Oxford University Press.

Suggested Citation

  • Ciaran Driver & Christine Oughton, 2008. "Dynamic models of regional innovation: explorations with British time-series data," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(2), pages 205-217.
    • Handle: RePEc:oup:cjrecs:v:1:y:2008:i:2:p:205-217
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    File URL: http://hdl.handle.net/10.1093/cjres/rsn012
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    Cited by:

    1. Ana Paula Faria & Natália Barbosa & Vasco Eiriz, 2013. "Firms’ innovation across regions: an exploratory study," NIPE Working Papers 12/2013, NIPE - Universidade do Minho.
    2. Goschin, Zizi, 2015. "Endogenous Regional Development in Romania. A Knowledge Production Function Model," MPRA Paper 88828, University Library of Munich, Germany.
    3. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    4. Ana Paula Faria & Natália Barbosa & Vasco Eiriz, 2015. "Firm Innovation and Co-Location in Portugal," Growth and Change, Wiley Blackwell, vol. 46(4), pages 574-592, December.
    5. Huanjia Ma & Raquel Ortega-Argiles & Matthew Lyons, 2024. "UK Levelling Up R&D mission effects: A multi-region input-output approach," MIOIR Working Paper Series 2024-03, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.

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