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The Regional Cambridge Multisectoral Dynamic Model of the UK Economy

In: Regional Science in Business

Author

Listed:
  • Terry Barker
  • Bernie Fingleton
  • K. Homenidou
  • R. Lewney

Abstract

This chapter reports on a regionalised, fully specified and coherent model of the various UK regional economies. It has a clear economic structure allowing incorporation of incomplete and partial data in a similar manner to the procedure followed in general equilibrium modelling, but at the same time validating the model’s projections against the available data for employment and output. The regionalised model is a development of the Cambridge Multisectoral Dynamic Model of the UK economy (MDM); see Barker and Peterson (1987) for an account of version 6 of the model. This is a time-series, cross-section (input-output) model distinguishing, inter alia, 49 industries and 68 categories of consumers’ expenditure. The standard UK regions are treated as one of several classifications in the model, with several commodity, industry and employment variables regionalised according to the availability of data. The current version of the model (MDM94) has been re-estimated on 1997 National Accounts and consistent Regional Accounts data (on the 1990 price base) and incorporates the 1990 input-output tables for the UK.

Suggested Citation

  • Terry Barker & Bernie Fingleton & K. Homenidou & R. Lewney, 2001. "The Regional Cambridge Multisectoral Dynamic Model of the UK Economy," Advances in Spatial Science, in: Graham Clarke & Moss Madden (ed.), Regional Science in Business, chapter 5, pages 79-96, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04625-8_5
    DOI: 10.1007/978-3-662-04625-8_5
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    Cited by:

    1. Barker, Terry & Junankar, Sudhir & Pollitt, Hector & Summerton, Philip, 2007. "Carbon leakage from unilateral Environmental Tax Reforms in Europe, 1995-2005," Energy Policy, Elsevier, vol. 35(12), pages 6281-6292, December.
    2. Jun Li & Douglas Crawford‐Brown & Mark Syddall & Dabo Guan, 2013. "Modeling Imbalanced Economic Recovery Following a Natural Disaster Using Input‐Output Analysis," Risk Analysis, John Wiley & Sons, vol. 33(10), pages 1908-1923, October.

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