TianGong Life Cycle Data Network
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Data set: Auxiliary mining services and other mining | CEEIO | 2018 (00.01.005)

Full name
Auxiliary mining services and other mining | 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CEEIO模型详细描述的辅助采矿服务和其他采矿活动数据集被用于全面评估这些服务造成的环境压力。它包括对各类别资源消耗和污染物排放的分析。该信息对于中国矿业部门的环境规划、政策制定和可持续性评估至关重要。企业、研究人员和政府机构可以利用这些数据来评估采矿服务的环境影响,采取措施减少生态足迹,并遵守环境法规。该数据可以支持采矿行业的战略决策,例如提高运营效率、优化资源使用和投资于更清洁的技术;同样,公众领域也可以利用该数据来监控和管理该行业对环境的影响。
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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