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Supporting code and data: "Beyond production and consumption: using throughflows to untangle the virtual trade of externalities"

Authors: Beaufils, Timothé; Berthet, Etienne; Ward, Hauke; Wenz, Leonie;

Supporting code and data: "Beyond production and consumption: using throughflows to untangle the virtual trade of externalities"

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.

Keywords

PaperCompanion, Throughflow, PIK-RD4, Throughflow Based Accounting, Global Value Chains, Input Output Analysis, Hypothetical Extraction Method

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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