Chinese environmentally extended input-output database for 2017 and 2018

被引:20
|
作者
Tian, Xi [1 ,2 ,3 ]
Liu, Yiwei [3 ]
Xu, Ming [4 ,5 ]
Liang, Sai [6 ]
Liu, Yaobin [1 ,3 ]
机构
[1] Nanchang Univ, Res Ctr Cent China Econ & Social Dev, Nanchang 330031, Jiangxi, Peoples R China
[2] Nanchang Univ, Jiangxi Ecol Civilizat Res Inst, Nanchang 330031, Jiangxi, Peoples R China
[3] Nanchang Univ, Sch Econ & Management, Nanchang 330031, Jiangxi, Peoples R China
[4] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA
[6] Guangdong Univ Technol, Inst Environm & Ecol Engn, Minist Educ, Key Lab City Cluster Environm Safety & Green Dev, Guangzhou 510006, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
CONSUMPTION STRUCTURE; EMISSION INVENTORIES; ATMOSPHERIC MERCURY; WATER FOOTPRINTS; AIR-POLLUTANT; TRANSFERS; COAL;
D O I
10.1038/s41597-021-01035-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 CO2 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.
引用
收藏
页数:10
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