Computable general equilibrium modelling in regional science

Allan, Grant J. and Lecca, Patrizio and McGregor, Peter G. and McIntyre, Stuart G. and Swales, J. Kim; Jackson, Randall and Schaeffer, Peter, eds. (2017) Computable general equilibrium modelling in regional science. In: Regional Research Frontiers. Advances in Spatial Science: The Regional Science Series, 2 . Springer International Publishing AG, Cham, pp. 59-78. ISBN 9783319505893 (https://doi.org/10.1007/978-3-319-50590-9_4)

Abstract

Computable General Equilibrium (CGE) modelling has a long and distinguished history in regional science. In the past decade or so, improvements in computation have led to more elaborate and detailed CGE models being developed and used in a range of different policy areas. Against a backdrop of these advances, this chapter seeks to identify and review a number of areas where we see the potential for significant developments in CGE modelling in the years ahead. Specifically, we first consider potential improvements in computation, model specification and methodology, before looking in more detail at three areas where these models are used, or could be used, with a view to identifying avenues where model improvements would be valuable. These three areas are: urban and spatial modelling, model integration with other systems and models, and regional fiscal issues. CGE modelling has a bright future in regional science, but to remain at the forefront of economic research in regional science it must continue to adapt and evolve as, historically it has done, and we hope that the directions identified in this chapter are helpful to the future direction of this field.

ORCID iDs

Allan, Grant J. ORCID: https://orcid.org/0000-0002-1404-2768

McGregor, Peter G. ORCID: https://orcid.org/0000-0003-1221-7963

McIntyre, Stuart G. ORCID: https://orcid.org/0000-0002-0640-7544

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• Item metadata

  Item type:	Book Section
  ID code:	60773
  Dates:	Date Event 18 April 2017 Published 2016 Submitted
  Subjects:	Social Sciences > Economic Theory
  Department:	Strathclyde Business School > Economics
  Depositing user:	Pure Administrator
  Date deposited:	25 May 2017 11:45
  Last modified:	11 Nov 2024 15:07
  Related URLs:	Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/60773