Computable General Equilibrium Modelling in Regional Science

Grant Allan, Patrizio Lecca, Peter McGregor, Stuart McIntyre and J. Kim Swales ()
Additional contact information
J. Kim Swales: University of Strathclyde

Chapter Chapter 4 in Regional Research Frontiers - Vol. 2, 2017, pp 59-78 from Springer

Abstract: 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.

Keywords: Public Spending; Computable General Equilibrium; Computable General Equilibrium Model; Dynamic Stochastic General Equilibrium; Dynamic Stochastic General Equilibrium Model (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (3)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-319-50590-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319505909

DOI: 10.1007/978-3-319-50590-9_4

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().