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TEA Model Documentation

Author

Listed:
  • Cunha, Bruno S. L.
  • Garaffa, Rafael
  • Gurgel, Ângelo Costa

Abstract

The TEA model is a multi-regional and multi-sectorial Computable General Equilibrium (CGE) model that tracks the production and distribution of goods in a dynamic recursive setup for the global economy. The model is built in GAMS and departures from the framework of the GTAPinGAMS model [1]. The dynamic structure and parameters are based in other CGEs and Integrated Assessment Models (AIM) as the MIT EPPA model [2, 3] and the COFFEE model [4], considering the evolution of primary factors and technologies in 18 regions and 21 economic sectors. The TEA model was built to perform economic analysis of future greenhouse gas emissions scenarios, considering technological and structural changes in the global economy, under different climate policies. The TEA model can work on a standalone basis but also soft-linked to other tools and models (such as the COFFEE model), in order to increase the capacity of Brazilian research groups to contribute to the scientific and policy debate on climate change and its related topics. This document describes the TEA model structure and its functionalities.

Suggested Citation

  • Cunha, Bruno S. L. & Garaffa, Rafael & Gurgel, Ângelo Costa, 2020. "TEA Model Documentation," Textos para discussão 520, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    • Handle: RePEc:fgv:eesptd:520
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    References listed on IDEAS

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    1. Angel Aguiar & Badri Narayanan & Robert McDougall, 2016. "An Overview of the GTAP 9 Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 181-208, June.
    2. Rutherford, Thomas F, 1999. "Applied General Equilibrium Modeling with MPSGE as a GAMS Subsystem: An Overview of the Modeling Framework and Syntax," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 1-46, October.
    3. Shoven,John B. & Whalley,John, 1992. "Applying General Equilibrium," Cambridge Books, Cambridge University Press, number 9780521266550, January.
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    1. Ruth Delzeit & Robert Beach & Ruben Bibas & Wolfgang Britz & Jean Chateau & Florian Freund & Julien Lefevre & Franziska Schuenemann & Timothy Sulser & Hugo Valin & Bas van Ruijven & Matthias Weitzel &, 2020. "Linking Global CGE Models with Sectoral Models to Generate Baseline Scenarios: Approaches, Challenges, and Opportunities," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 162-195, June.
    2. Pedro R. R. Rochedo & Panagiotis Fragkos & Rafael Garaffa & Lilia Caiado Couto & Luiz Bernardo Baptista & Bruno S. L. Cunha & Roberto Schaeffer & Alexandre Szklo, 2021. "Is Green Recovery Enough? Analysing the Impacts of Post-COVID-19 Economic Packages," Energies, MDPI, vol. 14(17), pages 1-19, September.
    3. Cai, Yongxia & Woollacott, Jared & Beach, Robert H. & Rafelski, Lauren E. & Ramig, Christopher & Shelby, Michael, 2023. "Insights from adding transportation sector detail into an economy-wide model: The case of the ADAGE CGE model," Energy Economics, Elsevier, vol. 123(C).
    4. Taran Faehn & Gabriel Bachner & Robert Beach & Jean Chateau & Shinichiro Fujimori & Madanmohan Ghosh & Meriem Hamdi-Cherif & Elisa Lanzi & Sergey Paltsev & Toon Vandyck & Bruno Cunha & Rafael Garaffa , 2020. "Capturing Key Energy and Emission Trends in CGE models: Assessment of Status and Remaining Challenges," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 196-272, June.
    5. Liu, Zipeng & Zhang, Meixi & Bauer, Christian & McKenna, Russell, 2025. "The role of low carbon fuels towards net-zero in integrated assessment models and energy system models: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
    6. Lars Lindholt & Taoyuan Wei, 2023. "The Effects on Energy Markets of Achieving a 1.5 °C Scenario," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    7. Oguzhan Akcin & Robert P. Streit & Benjamin Oommen & Sriram Vishwanath & Sandeep Chinchali, 2022. "A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics," Papers 2210.12881, arXiv.org.

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