Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tian, Xi, Liu, Yiwei, Xu, Ming, Liang, Sai, Liu, Yaobin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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
_version_ 1784577301851144192
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
work_keys_str_mv AT tianxi chineseenvironmentallyextendedinputoutputdatabasefor2017and2018
AT liuyiwei chineseenvironmentallyextendedinputoutputdatabasefor2017and2018
AT xuming chineseenvironmentallyextendedinputoutputdatabasefor2017and2018
AT liangsai chineseenvironmentallyextendedinputoutputdatabasefor2017and2018
AT liuyaobin chineseenvironmentallyextendedinputoutputdatabasefor2017and2018