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Analysis of long-term statistical data of cobalt flows in the EU

Long-term statistical data was explored, acquired, processed, and analysed in order to assess the historical domestic production and international trade of a number of cobalt-containing commodities in the EU. Different data sources were examined for data, such as the British Geological Survey (BGS),...

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Autores principales: Godoy León, María Fernanda, Blengini, Gian Andrea, Dewulf, Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291040/
https://www.ncbi.nlm.nih.gov/pubmed/34602748
http://dx.doi.org/10.1016/j.resconrec.2021.105690
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author Godoy León, María Fernanda
Blengini, Gian Andrea
Dewulf, Jo
author_facet Godoy León, María Fernanda
Blengini, Gian Andrea
Dewulf, Jo
author_sort Godoy León, María Fernanda
collection PubMed
description Long-term statistical data was explored, acquired, processed, and analysed in order to assess the historical domestic production and international trade of a number of cobalt-containing commodities in the EU. Different data sources were examined for data, such as the British Geological Survey (BGS), the US Geological Survey (USGS), and the Eurostat and UN Comtrade (UNC) databases, considering all EU-member states before and after they joined the EU. For the international trade, hidden flows related to data gaps such as data reported in monetary value or recorded as “special category” were identified and included in the analysis. In addition, data from the Finnish customs database (ULJAS) was used to complement flows reported by Eurostat and UNC. From UNC, data was obtained considering the member states as reporters or as partners of the trade, due to internal differences of the database. Based on the acquired data the domestic production and international trade of the commodities were reconstructed for the timeframes 1938–2018 and 1988–2018, respectively. Next to the analysis of the trend of the production and trade of the different commodities, the importance of including hidden flows was revealed, where hidden flows represented more than 50% of the flow of a year in some cases. In addition, it was identified that even from reliable data sources, strong differences (more than 100% in some cases) can be found in the reported data, which is crucial to consider when utilizing the data in research.
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spelling pubmed-82910402021-10-01 Analysis of long-term statistical data of cobalt flows in the EU Godoy León, María Fernanda Blengini, Gian Andrea Dewulf, Jo Resour Conserv Recycl Full Length Article Long-term statistical data was explored, acquired, processed, and analysed in order to assess the historical domestic production and international trade of a number of cobalt-containing commodities in the EU. Different data sources were examined for data, such as the British Geological Survey (BGS), the US Geological Survey (USGS), and the Eurostat and UN Comtrade (UNC) databases, considering all EU-member states before and after they joined the EU. For the international trade, hidden flows related to data gaps such as data reported in monetary value or recorded as “special category” were identified and included in the analysis. In addition, data from the Finnish customs database (ULJAS) was used to complement flows reported by Eurostat and UNC. From UNC, data was obtained considering the member states as reporters or as partners of the trade, due to internal differences of the database. Based on the acquired data the domestic production and international trade of the commodities were reconstructed for the timeframes 1938–2018 and 1988–2018, respectively. Next to the analysis of the trend of the production and trade of the different commodities, the importance of including hidden flows was revealed, where hidden flows represented more than 50% of the flow of a year in some cases. In addition, it was identified that even from reliable data sources, strong differences (more than 100% in some cases) can be found in the reported data, which is crucial to consider when utilizing the data in research. Elsevier B.V 2021-10 /pmc/articles/PMC8291040/ /pubmed/34602748 http://dx.doi.org/10.1016/j.resconrec.2021.105690 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Full Length Article
Godoy León, María Fernanda
Blengini, Gian Andrea
Dewulf, Jo
Analysis of long-term statistical data of cobalt flows in the EU
title Analysis of long-term statistical data of cobalt flows in the EU
title_full Analysis of long-term statistical data of cobalt flows in the EU
title_fullStr Analysis of long-term statistical data of cobalt flows in the EU
title_full_unstemmed Analysis of long-term statistical data of cobalt flows in the EU
title_short Analysis of long-term statistical data of cobalt flows in the EU
title_sort analysis of long-term statistical data of cobalt flows in the eu
topic Full Length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291040/
https://www.ncbi.nlm.nih.gov/pubmed/34602748
http://dx.doi.org/10.1016/j.resconrec.2021.105690
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