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Chinese environmentally extended input-output database for 2017 and 2018
Environmental footprint analyses for China have gained sustained attention in the literature, which rely on quality EEIO databases based on benchmark input-output (IO) tables. The Chinese environmentally extended input-output (CEEIO) database series provide publically available EEIO databases for Ch...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484342/ https://www.ncbi.nlm.nih.gov/pubmed/34593825 http://dx.doi.org/10.1038/s41597-021-01035-1 |
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author | Tian, Xi Liu, Yiwei Xu, Ming Liang, Sai Liu, Yaobin |
author_facet | Tian, Xi Liu, Yiwei Xu, Ming Liang, Sai Liu, Yaobin |
author_sort | Tian, Xi |
collection | PubMed |
description | Environmental footprint analyses for China have gained sustained attention in the literature, which rely on quality EEIO databases based on benchmark input-output (IO) tables. The Chinese environmentally extended input-output (CEEIO) database series provide publically available EEIO databases for China for 1992, 1997, 2002, 2007, and 2012 with consistent and transparent data sources and database structure. Based on the latest benchmark IO tables for China for 2017 and 2018, here we develop the corresponding 2017 and 2018 CEEIO databases following the same method used to develop previous CEEIO databases. The 2017 and 2018 CEEIO databases cover 44 and 28 types of environmental pressures, respectively, and consider multiple sector classifications including ones consistent with previous CEEIO databases and ones following the 2017 China’s national economy industry classification standard. A notable improvement in the 2017 and 2018 CEEIO databases is the comprehensive inclusion of CO(2) emissions from additional industrial processes. This work provides a consistent update of the CEEIO database and enables a wide range of timely environmental footprint analyses related to China. |
format | Online Article Text |
id | pubmed-8484342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84843422021-10-12 Chinese environmentally extended input-output database for 2017 and 2018 Tian, Xi Liu, Yiwei Xu, Ming Liang, Sai Liu, Yaobin Sci Data Data Descriptor Environmental footprint analyses for China have gained sustained attention in the literature, which rely on quality EEIO databases based on benchmark input-output (IO) tables. The Chinese environmentally extended input-output (CEEIO) database series provide publically available EEIO databases for China for 1992, 1997, 2002, 2007, and 2012 with consistent and transparent data sources and database structure. Based on the latest benchmark IO tables for China for 2017 and 2018, here we develop the corresponding 2017 and 2018 CEEIO databases following the same method used to develop previous CEEIO databases. The 2017 and 2018 CEEIO databases cover 44 and 28 types of environmental pressures, respectively, and consider multiple sector classifications including ones consistent with previous CEEIO databases and ones following the 2017 China’s national economy industry classification standard. A notable improvement in the 2017 and 2018 CEEIO databases is the comprehensive inclusion of CO(2) emissions from additional industrial processes. This work provides a consistent update of the CEEIO database and enables a wide range of timely environmental footprint analyses related to China. Nature Publishing Group UK 2021-09-30 /pmc/articles/PMC8484342/ /pubmed/34593825 http://dx.doi.org/10.1038/s41597-021-01035-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Tian, Xi Liu, Yiwei Xu, Ming Liang, Sai Liu, Yaobin Chinese environmentally extended input-output database for 2017 and 2018 |
title | Chinese environmentally extended input-output database for 2017 and 2018 |
title_full | Chinese environmentally extended input-output database for 2017 and 2018 |
title_fullStr | Chinese environmentally extended input-output database for 2017 and 2018 |
title_full_unstemmed | Chinese environmentally extended input-output database for 2017 and 2018 |
title_short | Chinese environmentally extended input-output database for 2017 and 2018 |
title_sort | chinese environmentally extended input-output database for 2017 and 2018 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484342/ https://www.ncbi.nlm.nih.gov/pubmed/34593825 http://dx.doi.org/10.1038/s41597-021-01035-1 |
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