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GTAP-Power 10 Data Base: A Technical Note

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  • Chepeliev, Maksym

Abstract

The purpose of this note is to document changes introduced to the GTAP-Power 10 database construction process in addition to the GTAP-Power build approach developed in Peters (2016). First, in Peters (2016) output of the electricity and heat generation sector in GTAP was split using electricity generation data only. We use heat generation volumes data to provide a more representative sectoral split and better concordance with GTAP definitions. Second, we consider data on country and year-specific shares of transformation and distribution costs in electricity tariff for 80 countries. Finally, for every reference year, we update the levelized costs of electricity generation.

Suggested Citation

  • Chepeliev, Maksym, 2020. "GTAP-Power 10 Data Base: A Technical Note," GTAP Research Memoranda 5938, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    • Handle: RePEc:gta:resmem:5938
    Note: GTAP Research Memorandum No. 31
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    References listed on IDEAS

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    1. Jeffrey C Peters, 2016. "The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 209-250, June.
    2. Angel Aguiar & Maksym Chepeliev & Erwin L. Corong & Robert McDougall & Dominique van der Mensbrugghe, 2019. "The GTAP Data Base: Version 10," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(1), pages 1-27, June.
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    1. Fernández-Amador, Octavio & Francois, Joseph F. & Oberdabernig, Doris A. & Tomberger, Patrick, 2023. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Ecological Economics, Elsevier, vol. 204(PA).
    2. Andrea M. Bassi & Valeria Costantini & Elena Paglialunga, 2021. "Modelling the European Union Sustainability Transition: A Soft-Linking Approach," Sustainability, MDPI, vol. 13(11), pages 1-24, June.
    3. Jensbye, Laerke & Clora, Francesco & Yu, Wusheng, 2022. "Nationally determined contributions and scenarios of agricultural emission reductions at country level," Conference papers 333465, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. Chepeliev, Maksym, 2020. "The GTAP Version 10A Data Base with Agricultural Production Targeting Based on the Food and Agricultural Organization (FAO) Data," GTAP Research Memoranda 6180, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    5. Chen, Y.-H. Henry & Paltsev, Sergey & Gurgel, Angelo & Reilly, John & Morris, Jennifer, 2022. "The MIT EPPA7: A Multisectoral Dynamic Model for Climate Policy Analysis," Conference papers 333493, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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