Supporting code and data: "Beyond production and consumption: using throughflows to untangle the virtual trade of externalities"
Zenodo (CERN European Organization for Nuclear Research)
Abstract
Beaufils, T.; Berthet, E.; Ward, H.; & Wenz, L. (2023). Beyond production and consumption: Using throughflows to untangle the virtual trade of externalities. Economic Systems Research. https://doi.org/10.1080/09535314.2023.2174003 Supporting code and data This repository contains the following folders: - code : contains all Python and iPython scripts used to generate intermediate data and figures - data : contains raw and processed data used for this project. - figures : contains high-definition figures shown in the manuscript - manuscript : preprint of the manuscript and its supplementary information All results and figures can be reproduced by: 1. Downloading raw EORA data and placing them in the data/EORA/raw folder. 2. Running the scripts in the code folder in the order specified.
Authors 4
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Potsdam Institute for Climate Impact Research
Affiliation as printed
Potsdam Institute for Climate Impact Research
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Technical University of Denmark
Affiliation as printed
Technical University of Denmark
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Hauke Ward Aachen
Affiliation as printed
Leiden University
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Potsdam Institute for Climate Impact Research
Affiliation as printed
Potsdam Institute for Climate Impact Research
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