Published December 22, 2020 | Version 1.0.0
Dataset Open

Global physical input-output tables for iron and steel (2008-2017).

  • 1. Vienna University of Ecnomics and Business

Description

Dataset: Global physical input-output tables for iron and steel

Years: 2008-2017

Base classification: 32 regions, 39 processes and 30 flows

Associated journal article: The PIOLab - Building global physical input-output tables in a virtual laboratory (forthcoming, Journal for Industrial Ecology)

Associated GitHub repository: www.github.com/fineprint-global/PIOLab

Contact: hanspeter.wieland@wu.ac.at

The folder RawData contains the unprocessed results of the reconciliation run in the PIOLab. These tables (in the Tvy format) form the basis for the R scripts that are available from the GitHub repository mentioned above. Please note the instructions on GitHub for further information and how i.e. where the content of RawData needs to be stored in your local repository.

The folder gPSUT contains the processed physical supply-use tables, including final use matrices and boundary input and output blocks. The variable names are described in detail in the method section of the journal article.

The folder gPIOT contains the process-by-process IO model, which was used for the calculation of the footprint indicators in the Journal article. Please read the information on the footprint calculus in the journal article.

The folder Diagnostics contains, for all years of the time series, results from the analyses of the constraint realization. The journal article presents only the diagnostic test for the year 2008.

Files

PIOLab_gPIOTs_iron-steel_v1.zip

Files (250.1 MB)

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Additional details

Funding

FINEPRINT – Spatially explicit material footprints: fine-scale assessment of Europe’s global environmental and social impacts 725525
European Commission