Other general equipment| CEEIO | 2018

CEEIO/2018 Chinese Environmentally Extended Input-Output (CEEIO) Database
CN - China
Reference year: 2018 -

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. 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.


the datasets consider four broad categories, 44 types of environmental pressures generated by domestic sectors and households in China based on the available data: (1) freshwater consumption; (2) 23 types of atmospheric pollutants including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), nitrogen oxides (NOx), dust and soot, sulfur dioxide (SO2), hazardous trace elements (HTEs, including Hg, As, Se, Pb, Cd, Cr, Ni, Sb, Mn, Co, Cu, and Zn), particulate matter with an aerodynamic diameter of 2.5 mm or less (PM2.5), particulate matter with an aerodynamic diameter of 10 mm or less (PM10), carbon monoxide (CO), Volatile Organic Compounds (VOCs), ammonia (NH3); (3) 13 types of water pollutants including chemical oxygen demand, ammonia nitrogen compounds, phosphorus, petroleum pollutants, volatile phenols, cyanide, aquatic Hg, aquatic Cd, aquatic Cr, aquatic Pb, aquatic As, aquatic Cu, and aquatic Zn; and (4) 7 types of solid waste including industrial solid waste, plastic film, crop straws, animal manure, sludge, medical waste, and household waste. The 2018 CEEIO database covers 28 types of environmental pressures among these 44 based on the available data: (1) the fuel combustion from sectors, (2) the output of industrial products, (3) the yield of crop, (4) the amount of livestock and poultry, (5) the freshwater consumption for agriculture, industry, and domestic use, and (6) the usage amount of plastic film.

Process type
Fully aggregated
LCI modeling approach
Multifunctional modeling
Aggregation type
Data provider
Review status