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Data set: Auto parts and accessories| CEEIO | 2018 (00.01.005)

Full name
Auto parts and accessories| CEEIO | 2018
Location
CN
Reference year
2018
Valid until
Reference flow(s)
Type
LCI result
Parameterized?
no
LCIA results included?
no
Category
CEEIO / 2018 Chinese Environmentally Extended Input-Output (CEEIO) Database
Synonyms
Use advice for data set
When working with the 2018 China Environmental Expanded Input-Output (CEEIO) dataset, users need to be aware of several key unit adjustments and data ranges. The unit of economic value has been changed from "10,000 RMB" to "1 RMB", and in line with the ILCD's need for standardized units, values have been normalized to the unit of "EUR" based on the exchange rate of RMB:EUR = 7.5:1, while the unit of mass has been changed from "tons" to "EUR", and the unit of mass has been changed from "tons" to "EUR". EUR" according to the standardized unit requirement of ILCD, and the unit of mass is adjusted from "ton" to "kilogram". The dataset covers 28 out of 44 environmental pressure types, so it is important to be aware of which environmental categories are included and possible omissions when using the dataset. In order to better understand and apply the data, it is recommended that users carefully read the data source documents accompanying the dataset to understand their methodology and assumptions. In addition, it is recommended that the data be integrated in a systematic way into broader environmental analyses or decision-making processes to ensure accuracy and consistency of analysis.
Data set use approval
General comment
CEEIO is the result of near decade-long research of using environmentally extended input-output models studying China's environmental issues led by Prof. Ming Xu at the Tsinghua University in collaboration with Prof. Sai Liang at Guangdong University of Technology and Prof. Xi Tian at Nanchang University.CEEIO consists of benchmark economic input-output tables published by the Chinese government statistics agency and environmental satellite accounts compiled from multiple sources. Technical details such as data sources, compilation methods, and assumptions are available as Technical Notes included in the downloadable files.The development of CEEIO was partially supported by the Kenneth G. Lieberthal and Richard H. Rogel Center for Chinese Studies at the Tsinghua University.
LCI Method Principle
LCI Method Approaches
No records found.
Completeness of product model
No statement
Reviews
  • Dependent internal review by
License and access conditions
Copyright
no
License type
Free of charge for all users and uses
Owner of data set
Technical purpose
2018年版的中国环境扩展投入产出(CEEIO)数据库描述了在中国制造1 RMB汽车零部件和配件的环境影响,考虑了经济和环境交互作用。该数据集的输出可以用于汽车制造商、环境研究者和政府机构的可持续性评估、政策制定和战略规划。该数据库对于分析和优化汽车零部件和配件的生命周期环境足迹至关重要,帮助制造商改进他们的生态性能并通知可持续采购决策。
Input Products
No records found.
Co-Products
No records found.
Data set version
00.01.005
Time stamp (last saved)
2021-08-31T00:00:00+08:00
Data set format
Compliance systems
No records found.
Tag
Registered in
Registry nameBase URLStatus
GLADhttps://www.globallcadataaccess.org/
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