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GlobeTERM, combining multi-country and sub-national detail

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  • Glyn Wittwer

Abstract

This paper describes a method of combining national GTAP regions with sub-national detail. The approach extends the sub-national TERM methodology to create a family of models named GlobeTERM. In each model, the master database includes 74 sectors, based on GTAP with electricity split into 9 generation sectors plus a distribution sector. The other 64 sectors are those in on GTAP version 11c. In most examples, one country within GTAP is split into sub-national regions, while retaining the other 159 GTAP regions in the master database. Examples include China, Germany, UK and USA. Another version represents Europe's regions at the NUTS-2 level. Using the US version of GlobeTERM, an illustrative simulation examines the impacts of the imposition of large bilateral tariffs between USA and China. The aggregation for this scenario depicts swing states separately. While almost all US regions lose in the short run from the imposition of high bilateral tariffs, there are winning and losing states in the long run.

Suggested Citation

  • Glyn Wittwer, 2025. "GlobeTERM, combining multi-country and sub-national detail," Centre of Policy Studies/IMPACT Centre Working Papers g-350, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:g-350
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    References listed on IDEAS

    as
    1. Joaquim Bento de Souza Ferreira Filho & Mark Horridge, 2006. "The Doha Development Agenda and Brazil: Distributional Impacts ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 362-369.
    2. Joaquim Bento de Souza Ferreira Filho & Mark Horridge, 2021. "Biome Composition in Deforestation Deterrence and GHG Emissions in Brazil," World Scientific Book Chapters, in: Peter Dixon & Joseph Francois & Dominique van der Mensbrugghe (ed.), POLICY ANALYSIS AND MODELING OF THE GLOBAL ECONOMY A Festschrift Celebrating Thomas Hertel, chapter 13, pages 419-436, World Scientific Publishing Co. Pte. Ltd..
    3. Wittwer, Glyn & McKirdy, Simon & Wilson, Ryan, 2005. "Regional economic impacts of a plant disease incursion using a general equilibrium approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(01), pages 1-15.
    4. Dixon, Peter B. & Rimmer, Maureen T. & Waschik, Robert, 2017. "Linking CGE and specialist models: Deriving the implications of highway policy using USAGE-Hwy," Economic Modelling, Elsevier, vol. 66(C), pages 1-18.
    5. Glyn Wittwer & Onil Banerjee, 2015. "Investing in irrigation development in North West Queensland, Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 189-207, April.
    6. Wittwer, Glyn & Dixon, Janine, 2013. "Effective use of public funding in the Murray-Darling Basin: a comparison of buybacks and infrastructure upgrades," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3).
    7. Simola, Antti & Perrels, Adriaan & Honkatukia, Juha, 2011. "Extreme weather events in Finland – a dynamic CGE-analysis of economic effects," Conference papers 332099, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Glyn Wittwer & Mark Horridge, 2010. "Bringing Regional Detail to a CGE Model using Census Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 229-255.
    9. Wittwer, Glyn & Vere, David T. & Jones, Randall E. & Griffith, Garry R., 2005. "Dynamic general equilibrium analysis of improved weed management in Australia's winter cropping systems," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(4), pages 1-15.
    10. Peter B. Dixon & Maureen T. Rimmer & Glyn Wittwer, 2011. "Saving the Southern Murray‐Darling Basin: The Economic Effects of a Buyback of Irrigation Water," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 153-168, March.
    11. Glyn Wittwer, 2017. "The relevance of inter-regional trade data produced by the 2012 Commodity Flow Survey for multi-regional CGE modelling," Centre of Policy Studies/IMPACT Centre Working Papers g-275, Victoria University, Centre of Policy Studies/IMPACT Centre.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Computable general equilibrium; regional economics; tariffs;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • B17 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - International Trade and Finance

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