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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.
PaperCompanion, Throughflow, PIK-RD4, Throughflow Based Accounting, Global Value Chains, Input Output Analysis, Hypothetical Extraction Method
PaperCompanion, Throughflow, PIK-RD4, Throughflow Based Accounting, Global Value Chains, Input Output Analysis, Hypothetical Extraction Method
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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