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Explaining regional economic performance: An historical application of a dynamic multi-regional CGE model

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  • James Giesecke

    ()
    (Centre for Regional Economic Analysis, University of Tasmania, GPO Box 252-90, Hobart Australia 7001)

Abstract

A multi-regional dynamic computable general equilibrium model of the Australian economy (federal-f) is used to identify the causes of the divergent growth performance of two Australian regional economies (Tasmania and the rest of Australia) over the period 1992-1993 to 1998-1999. These causes are traced to a large number of structural and policy changes in the two economies. Ultimately, no simple or mono-causal explanation for the divergent growth experience is found - the relatively slow growth of the Tasmanian economy is the net effect of a large number of countervailing influences. Nevertheless, from among these many influences, it is possible to distinguish those that had a sizeable impact from those that had a negligible impact.

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Bibliographic Info

Article provided by Springer in its journal Papers in Regional Science.

Volume (Year): 81 (2002)
Issue (Month): 2 ()
Pages: 247-278

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Handle: RePEc:spr:presci:v:81:y:2002:i:2:p:247-278

Note: Received: 29 February 2000
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Related research

Keywords: Multi-regional CGE; dynamic CGE; regional growth; divergence;

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Cited by:
  1. James A Giesecke & John R Madden, 2006. "Uncovering the Factors behind Comparative Regional Economic Performance: A Dynamic CGE Approach," Centre of Policy Studies/IMPACT Centre Working Papers g-165, Victoria University, Centre of Policy Studies/IMPACT Centre.
  2. Giesecke, J. & Madden, J.R., 2004. "Modelling the Regional Economic Consequences of Efficiency Gains in the Utilities Sector," Economic Analysis and Policy (EAP), Queensland University of Technology (QUT), School of Economics and Finance, vol. 34(1), pages 15-35, March.
  3. Plassmann, Florenz, 2005. "The advantage of avoiding the Armington assumption in multi-region models," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 777-794, November.
  4. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
  5. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
  6. repec:hrs:journl::v:3:y:2011:i:2:p:13-25 is not listed on IDEAS

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