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Uncovering the Factors behind Comparative Regional Economic Performance: A Dynamic CGE Approach

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  • James A Giesecke
  • John R Madden

Abstract

Recently a new method has emerged for uncovering the factors driving regional disparities in growth performance. The method involves historical analysis with a multiregional computable general equilibrium model. This paper has three main aims. The first is to demonstrate the capacity of the CGE historical technique to decompose the causes of regional divergence into clearly-specified economic factors. The second is to provide a generic miniature model that can be used as a template for adapting any multiregional CGE model to give it the capacity for undertaking historical analysis. The third is to demonstrate that this same miniature model can be used to explain the regional results in terms of the major model mechanisms behind them.

Suggested Citation

  • 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.
  • Handle: RePEc:cop:wpaper:g-165
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    8. James Giesecke, 2002. "Explaining regional economic performance: An historical application of a dynamic multi-regional CGE model," Review of Economic Design, Springer;Society for Economic Design, vol. 81(2), pages 247-278, April.
    9. Adams, Philip D. & Dixon, Peter B. & McDonald, Daina & Meagher, G. A. & Parmenter, Brian R., 1994. "Forecasts for the Australian economy using the MONASH model," International Journal of Forecasting, Elsevier, vol. 10(4), pages 557-571, December.
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    13. James A. Giesecke & John R. Madden, 2007. "Regional Adjustment to Globalization: A CGE Analytical Framework," Advances in Spatial Science, in: Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), Globalization and Regional Economic Modeling, chapter 11, pages 229-261, Springer.
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    Cited by:

    1. Francois J. Stofberg & Jan H. van Heerden & Heinrich R. Bohlmann, 2020. "A Fiscus for Better Economic and Social Development in South Africa," Working Papers 202072, University of Pretoria, Department of Economics.
    2. Philip Adams & Janine Dixon & James Giesecke & Mark Horridge, 2010. "MMRF: Monash Multi-Regional Forecasting Model: A Dynamic Multi-Regional Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers g-223, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. 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.
    4. Stofberg, F.J. & van Heerden, J.H. & Horridge, M. & Roos, L., 2022. "A fiscus for better economic and social development in South Africa," Conference papers 333392, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. James Giesecke, 2008. "A Top-down Framework for Regional Historical Analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 45-87.

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    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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