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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

  1. Potsdam Institute for Climate Impact Research

    Affiliation as printed

    Potsdam Institute for Climate Impact Research

  2. Technical University of Denmark

    Affiliation as printed

    Technical University of Denmark

  3. Hauke Ward Aachen

    Leiden University

    Affiliation as printed

    Leiden University

  4. Potsdam Institute for Climate Impact Research

    Affiliation as printed

    Potsdam Institute for Climate Impact Research

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