Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China

被引：27
|
作者：
Liu, Fang [1 ]
Tang, Lu [2 ]
Liao, Kaicheng [3 ]
Ruan, Lijuan [4 ]
Liu, Pingsheng [5 ]
机构：
[1] Jiangsu Univ Technol, Business Sch, Changzhou 213001, Peoples R China
[2] Jishou Univ, Business Sch, Jishou 416000, Peoples R China
[3] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[4] Changzhou Univ, Shiliang Law Sch, Changzhou 213164, Peoples R China
[5] Zhongshan Torch Polytech, Sch Finance & Commerce, Zhongshan 528436, Peoples R China
来源：
SCIENTIFIC REPORTS | 2021年 / 11卷 / 01期
关键词：
CO2; EMISSIONS; PERSPECTIVE; PERFORMANCE; CONSUMPTION; TECHNOLOGY;
D O I：
10.1038/s41598-021-98225-z
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：
The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate the spatial distribution of CEEIE, and Dagum Gini ratio is calculated to decompose the regional difference. The results show that the spatial distribution of CEEIE changes from disorder to order and provinces characterized with high or low CEEIE cluster in space over time. The total Dagum Gini coefficient indicates that the interprovincial difference in CEEIE across China is gradually expanding, which is mainly induced by the difference between regions. Our findings attach more importance to interregional integration policies for carbon emissions reduction in China.
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页数：14
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