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

Author

Listed:
  • 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.

Suggested Citation

  • James Giesecke, 2002. "Explaining regional economic performance: An historical application of a dynamic multi-regional CGE model," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(2), pages 247-278.
    • Handle: RePEc:spr:presci:v:81:y:2002:i:2:p:247-278
    Note: Received: 29 February 2000
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    Citations

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    Cited by:

    1. James A. Giesecke & John R. Madden, 2013. "Evidence-based regional economic policy analysis: the role of CGE modelling," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 6(2), pages 285-301.
    2. Peter B. Dixon & Maureen T. Rimmer, 2023. "What do GTAP databases tell us about technologies for industries and regions?," Centre of Policy Studies/IMPACT Centre Working Papers g-340, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Hiroyuki SHIBUSAWA & Yuzuru MIYATA, 2011. "Evaluating The Dynamic And Spatial Economic Impacts Of An Earthquake: A Cge Application To Japan," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 13-25, December.
    4. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 379-475, Elsevier.
    5. Mardones D., Cristián, 2012. "Chile: building a computable general equilibrium model with an application to the Bío Bío region," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    6. Andrew Feltenstein & Florenz Plassmann, 2008. "The Welfare Analysis of a Free Trade Zone: Intermediate Goods and the Asian Tigers," The World Economy, Wiley Blackwell, vol. 31(7), pages 905-924, July.
    7. James Giesecke, 2008. "A Top-down Framework for Regional Historical Analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 45-87.
    8. 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.
    9. 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.
    10. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    11. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    12. Harvey Cutler & Stephen Davies, 2010. "The Economic Consequences of Productivity Changes: A Computable General Equilibrium (CGE) Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1415-1426.
    13. 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.
    14. repec:hrs:journl::v:3:y:2011:i:2:p:13-25 is not listed on IDEAS
    15. James Giesecke & John Madden, 2010. "Uncovering the Factors behind Comparative Regional Economic Performance: A Multi-regional Computable General Equilibrium (CGE) Approach," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1329-1349.
    16. James Giesecke & John R. Madden, 2003. "Regional Labour Market Adjustment to Competition Policy Reforms: A Dynamic CGE Framework for Assessment," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 6(3), pages 409-433, September.
    17. repec:elg:eechap:14395_2 is not listed on IDEAS

    More about this item

    Keywords

    Multi-regional CGE; dynamic CGE; regional growth; divergence;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

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