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A regionalized national Input-Output – Modell for Chile (COFORCE) Methodology and Applications

Author

Listed:
  • Dr. Anett Großmann

    (GWS - Institute of Economic Structures Research)

  • Svenja Schwarz

    (GWS - Institute of Economic Structures Research)

  • Frank Hohmann

    (GWS - Institute of Economic Structures Research)

  • Anke Mönnig

    (GWS - Institute of Economic Structures Research)

Abstract

The research project “Development of sustainable strategies in the Chilean mining sector through a regionalized national model” – funded by the German Federal Ministry of Education and Research – analyses the socio-economic impacts of copper on the Chilean economy. For this, the model COFORCE (COpper FORecasting in ChilE, www.coforce.cl) was developed from scratch. First, a macro-econometric input-output (IO) model for Chile (COFORCE) was built in line with the INFORUM (Interindustry FORcasting at the University of Maryland) modelling approach to forecast and simulate the impact of copper industry on the overall economy. Second, due to the importance of Chilean copper exports, the COFORCE model is linked to the bilateral trade model TINFORGE which captures among other world trade of copper between 153 countries. The national COFORCE model receives export demand and import prices from the world model according to its global market shares. Third, the COFORCE model was regionalized by using an Interregional Input-Output table developed by partners in Brazil (Haddad et al. 2018). The national and 15 regional models for Chile are linked via final demand components and industries by applying a top-down approach. Therefore, regional economic growth is mainly driven by the industry structure and inter- and intraregional trade. This set of three projection and simulation models considers the main aspects regarding copper: 1. It is the main exporting product, 2. It has a huge impact on the economic development and 3. The copper industry is regionally differently concentrated. The modelling tools are applied for the evaluation of alternative economic scenarios, e. g. copper export scenarios at the national and subnational level. The main focus of this paper is to introduce the methodology used to regionalize the national model COFORCE, to explain the main transmission channels and to present regional modelling results. The national model COFORCE and the underlying model philosophy and characteristics are explained in detail in Mönnig/Bieritz 2019. Section 4 shows examples of applications and how to implement scenarios by using the graphical user interface solver(c) (see section 4.1). which includes the underlying data set (historic data and forecasted) and supports the user in scenario design.

Suggested Citation

  • Dr. Anett Großmann & Svenja Schwarz & Frank Hohmann & Anke Mönnig, 2020. "A regionalized national Input-Output – Modell for Chile (COFORCE) Methodology and Applications," GWS Discussion Paper Series 20-3, GWS - Institute of Economic Structures Research.
    • Handle: RePEc:gws:dpaper:20-3
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    References listed on IDEAS

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    1. Edwin S. Mills, 1993. "The Misuse of Regional Economic Models," Cato Journal, Cato Journal, Cato Institute, vol. 13(1), pages 29-39, Spring/Su.
    2. Mancini, Lucia & Sala, Serenella, 2018. "Social impact assessment in the mining sector: Review and comparison of indicators frameworks," Resources Policy, Elsevier, vol. 57(C), pages 98-111.
    3. repec:wsr:wpaper:y:2010:i:062 is not listed on IDEAS
    4. Roxana Julia-Wise & Stephen C. Cooke & RDavid Holland, 2002. "A Computable General Equilibrium Analysis of a Property Tax Limitation Initiative in Idaho," Land Economics, University of Wisconsin Press, vol. 78(2), pages 207-227.
    5. Haddad, Eduardo A. & Domingues, Edson P. & Perobelli, Fernando S., 2002. "Regional effects of economic integration: the case of Brazil," Journal of Policy Modeling, Elsevier, vol. 24(5), pages 453-482, August.
    6. Farhauer, Oliver & Kröll, Alexandra, 2009. "Die Shift-Share-Analyse als Instrument der Regional- und Clusterforschung," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-59-09, University of Passau, Faculty of Business and Economics.
    7. Zika, Gerd & Schneemann, Christian & Hummel, Markus & Maier, Tobias & Kalinowski, Michael & Bernardt, Florian & Mönnig, Anke & Parton, Frederik & Sonnenburg, Anja & Ulrich, Philip & Wolter, Marc Ingo, 2020. "Langfristige Folgen von Demografie und Strukturwandel für die Bundesländer : Detaillierte Bundeslands-Ergebnisse der 5. Welle der BIBB-IAB-Qualifikations- und Berufsprojektionen," IAB-Forschungsbericht 202002, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Philip Ulrich & Dr. Marc Ingo Wolter, 2013. "LÄNDER-Modell 2013 - Grundlagen, Ansätze und erste Analysen zum aktuellen Modell," GWS Discussion Paper Series 13-6, GWS - Institute of Economic Structures Research.
    9. 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.
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    More about this item

    Keywords

    Model Building; Input-Output; Sustainable Mining; Copper;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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