JRC Data Catalogue
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Baseline GECO 2020

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The economic Multi-Regional Input-Output tables used in the Global Energy and Climate Outlook (GECO) 2020 for the baseline scenario are presented. The Baseline scenario represents a projection of the world economy with corresponding energy demand and GHG's emissions reflecting the impact of COVID-19 on the economy and the energy demand. The procedure that was used to generate Baseline scenario is called PIRAMID which stands for: Platform to Integrate, Reconcile and Align Model-based Input-output Data. PIRAMID is a new methodology to project Multi-Regional Input-Output tables over time. This approach allows for integrating data from external models and databases. The I-O tables are supplemented by energy balances (in physical units) and GHGs projections.

Contributors

How to cite

Krzysztof Wojtowicz Luis Rey Marie Tamba Toon Vandyck Matthias Weitzel (2026): Baseline GECO 2020. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.E95QM0G PID: http://data.europa.eu/89h/b8315511-cb76-4e52-b1c1-3680de1e47d0

Keywords

BaselineClimate changeEnergyInput-output tables

Data access

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Other resources

HTML

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Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • The Global Energy and Climate Outlook (GECO) analyses global and sectoral pathways towards a deep decarbonisation of the energy system, to limit global warming to below 2°C by the end of the century as put forward in the UNFCCC Paris Agreement. The quantitative analysis combines global energy system and macroeconomic modelling.

Temporal coverage

From date To date
2020-01-01 2050-01-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
luis.rey-los-santos (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Economy and finance

dataset theme covering the domains of economic activity which involves production, distribution, trade, and consumption of goods and services, and finance activity focusing on the management of money at the individual, company, or government level

Energy

dataset theme covering the domain of energy, characterised as the quantitative property necessary to perform work on or heat objects, and vital element of living organisms and the operation of human civilisation

Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Geographical name(s)
Issued date
2021-01-11
Created date
07 Jan 2021 09:42
Modified date
19 Jan 2024 14:43
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Dataset identifier
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