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Uncovering the Factors behind Comparative Regional Economic Performance: A Multi-regional Computable General Equilibrium (CGE) Approach

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  • James Giesecke
  • John Madden

Abstract

Giesecke J. A. and Madden J. R. Uncovering the factors behind comparative regional economic performance: a multi-regional computable general equilibrium (CGE) approach, Regional Studies. Recently, a new method has emerged for uncovering the factors driving regional growth disparities. The method involves historical analysis with a multi-regional computable general equilibrium (CGE) model. This paper has three main aims. First, to demonstrate the capacity of the CGE historical technique to decompose the causes of regional divergence into clearly specified economic factors. Second, to provide a generic miniature model that can be used as a template for adapting any multi-regional CGE model to give it the capacity for undertaking historical analysis. Third, to demonstrate that this same miniature model can be used to explain the regional results in terms of the major model mechanisms behind them. [image omitted] Giesecke J. A. et Madden J. R. Devoiler les facteurs derriere la performance economique comparative des regions: une facon CGE a plusieurs regions, Regional Studies. Recemment, une nouvelle methode qui cherche a devoiler les facteurs qui conduisent les ecarts de la croissance regionale a vu le jour. Cette methode necessite une analyse chronologique a partir d'un modele d'equilibre general a plusieurs regions sur ordinateur. Cet article a trois objectifs. Primo, on cherche a demontrer la capacite de la technique chronologique CGE a decomposer les causes de l'ecart regional en facteurs economiques precis. Secundo, on cherche a fournir un modele miniature generique que l'on peut employer en tant que gabarit afin d'adapter aucun modele CGE a plusieurs regions pour que l'on puisse augmenter sa capacite a faire une analyse chronologique. Tertio, on cherche a demontrer que ce meme modele miniature sert a expliquer les resultats regionaux en termes des mecanismes majeurs qui le soutiennent. Equilibre general sur ordinateur Croissance regionale Ecart regional Analyse chronologique a plusieurs regions Giesecke J. A. und Madden J. R. Ermittlung der Faktoren hinter der komparativen regionalen Wirtschaftsleistung: Ein multiregionaler CGE-Ansatz, Regional Studies. In jungster Zeit ist eine neue Methode zur Ermittlung der Faktoren entstanden, die beim Regionalwachstum Disparitaten verursachen. Die Methode beinhaltet eine historische Analyse mit einem multiregionalen berechenbaren allgemeinen Gleichgewichtsmodell (CGE-Modell). Mit unserem Beitrag verfolgen wir drei Hauptziele. Erstens mochten wir nachweisen, dass sich die historische CGE-Technik zu einer Dekomposition der Ursachen regionaler Divergenz in klar spezifizierte Wirtschaftsfaktoren eignet. Zweitens wollen wir ein generisches Miniaturmodell entwickeln, das als Vorlage zur Anpassung eines beliebigen multiregionalen CGE-Modells genutzt werden kann, um mit diesem Modell historische Analysen durchfuhren zu konnen. Drittens mochten wir nachweisen, dass sich anhand desselben Miniaturmodells die regionalen Ergebnisse hinsichtlich der grosseren, dahinterliegenden Modellmechanismen erlautern lassen. Berechenbares allgemeines Gleichgewicht Regionales Wachstum Regionale Divergenz Multiregionale historische Analyse Giesecke J. A. y Madden J. R. Descubrir los factores tras el rendimiento de la economia regional comparativa: un enfoque multiregional CGE, Regional Studies. Acaba de surgir un nuevo metodo para descubrir los factores que impulsan las desigualdades de crecimiento regional. Con este metodo se realizan analisis historicos mediante un modelo de equilibrio general computable y multiregional. Este documento tiene tres objetivos principales. Primero, demostrar la capacidad de la tecnica historica de equilibrio general computable (CGE) para descomponer las causas de divergencia regional en factores economicos claramente especificos. Segundo, ofrecer un modelo generico en miniatura que puede servir como plantilla para adaptar cualquier modelo multiregional CGE y otorgarle la capacidad de realizar analisis historicos. Tercero, demostrar que este mismo modelo en miniatura puede servir para explicar los resultados regionales en terminos de los mecanismos principales en el modelo que existen detras. Equilibrio computable general Crecimiento regional Divergencia regional Analisis historico multiregional

Suggested Citation

  • 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.
  • Handle: RePEc:taf:regstd:v:44:y:2010:i:10:p:1329-1349
    DOI: 10.1080/00343400802070886
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    as
    1. Suahasil Nazara & Geoffrey J.D. Hewings, 2004. "Spatial Structure and Taxonomy of Decomposition in Shift‐Share Analysis," Growth and Change, Wiley Blackwell, vol. 35(4), pages 476-490, September.
    2. Johan Lundberg, 2006. "Using spatial econometrics to analyse local growth in Sweden," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 303-316.
    3. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    4. Masayuki Doi, 2006. "Introduction to Computable General Equilibrium Approaches in Urban and Regional Policy Studies," World Scientific Book Chapters, in: Masayuki Doi (ed.), Computable General Equilibrium Approaches In Urban And Regional Policy Studies, chapter 1, pages 3-7, World Scientific Publishing Co. Pte. Ltd..
    5. Peter G. McGregor & J. Kim Swales & Ya Ping Yin, 1999. "Spillover and Feedback Effects in General Equilibrium Interregional Models of the National Economy: A Requiem for Interregional Input-Output?," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & Moss Madden & Yoshio Kimura (ed.), Understanding and Interpreting Economic Structure, chapter 9, pages 167-190, Springer.
    6. Paul C. Cheshire & Edward J. Malecki, 2004. "Growth, development, and innovation: A look backward and forward," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 249-267, Springer.
    7. Mustafa Dinc & Kingsley Haynes, 2005. "Productivity, International Trade and Reference Area Interactions in Shift‐Share Analysis: Some Operational Notes," Growth and Change, Wiley Blackwell, vol. 36(3), pages 374-394, June.
    8. Geoffrey J. D. Hewings & Michael Sonis & Moss Madden & Yoshio Kimura (ed.), 1999. "Understanding and Interpreting Economic Structure," Advances in Spatial Science, Springer, number 978-3-662-03947-2, Fall.
    9. Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), 2007. "Globalization and Regional Economic Modeling," Advances in Spatial Science, Springer, number 978-3-540-72444-5, Fall.
    10. Matthew W. Peter & Mark Horridge & G.A.Meagher & Fazana Naqvi & B.R.Parmenter, 1996. "The Theoretical Structure of MONASH-MRF," Centre of Policy Studies/IMPACT Centre Working Papers op-85, Victoria University, Centre of Policy Studies/IMPACT Centre.
    11. Uwe Blien & Katja Wolf, 2002. "Regional development of employment in eastern Germany: an analysis with an econometric analogue to shift-share techniques," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(3), pages 391-414.
    12. Harrigan, Frank & McGregor, Peter G. & Dourmashkin, Neil & Perman, Roger & Swales, Kim & Yin, Ya Ping, 1991. "AMOS : A macro-micro model of Scotland," Economic Modelling, Elsevier, vol. 8(4), pages 424-479, October.
    13. W. Jill Harrison & J. Mark Horridge & K.R. Pearson, 2000. "Decomposing Simulation Results with Respect to Exogenous Shocks," Computational Economics, Springer;Society for Computational Economics, vol. 15(3), pages 227-249, June.
    14. Maria Abreu & Henri L. F. de Groot & Raymond J. G. M. Florax, 2005. "A Meta‐Analysis of β‐Convergence: the Legendary 2%," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 389-420, July.
    15. 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.
    16. Daina McDonald & Peter B. Dixon, 1988. "The Australian Economy: 1987–88 and 1988–89," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 21(2), pages 3-26, June.
    17. Eduardo Haddad & Geoffrey Hewings, 1999. "The short-run regional effects of new investments and technological upgrade in the Brazilian automobile industry: An interregional computable general equilibrium analysis," Oxford Development Studies, Taylor & Francis Journals, vol. 27(3), pages 359-383.
    18. 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.
    19. Edgar S. Dunn, 1960. "A Statistical And Analytical Technique For Regional Analysis," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 97-112, January.
    20. Naqvi, Farzana & Peter, Matthew W, 1996. "A Multiregional, Multisectoral Model of the Australian Economy with an Illustrative Application," Australian Economic Papers, Wiley Blackwell, vol. 35(66), pages 94-113, June.
    21. Dixon, Peter B. & Parmenter, B. R. & Powell, Alan A., 1984. "The role of miniatures in computable general equilibrium modelling : Experience from ORANI," Economic Modelling, Elsevier, vol. 1(4), pages 421-428, October.
    22. 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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    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. 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.
    3. Georgeta Lixandru (Bardasu), 2015. "The Evolution of the Performances at Regional Level," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 135-139, October.

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