Regional differences and driving factors of carbon emission intensity in China's electricity generation sector

被引:5
作者
Sun, Xiaoyan [1 ]
Lian, Wenwei [2 ,3 ]
Wang, Bingyan [4 ]
Gao, Tianming [3 ]
Duan, Hongmei [5 ]
机构
[1] Shijiazhuang Tiedao Univ, Sch Econ & Law, Shijiazhuang 050043, Peoples R China
[2] China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
[3] Chinese Acad Geol Sci, Res Ctr Strategy Global Mineral Resources, Beijing 100037, Peoples R China
[4] Hebei Univ Econ & Business, Sch Business, Shijiazhuang 050061, Peoples R China
[5] Chinese Acad Int Trade & Econ Cooperat, Beijing 100710, Peoples R China
基金
中国国家自然科学基金;
关键词
Electricity generation sector; Carbon emission intensity; Regional differences; GTWR; China; THERMAL POWER-GENERATION; CO2; EMISSIONS; WEIGHTED REGRESSION; ENERGY-CONSUMPTION; DIOXIDE EMISSIONS; PANEL-DATA; DECOMPOSITION; DRIVERS; URBANIZATION; DETERMINANTS;
D O I
10.1007/s11356-023-27232-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As an industry with immense decarbonization potential, the low-carbon transformation of the power sector is crucial to China's carbon emission (CE) reduction commitment. Based on panel data of 30 provinces in China from 2000 to 2019, this research calculates and analyzes the provincial CE intensity in electricity generation (CEIE) and its spatial distribution characteristics. Additionally, the GTWR model based on the construction explains the regional heterogeneity and dynamic development trend of each driving factor's influence on CEIE from time and space. The main results are as follows: CEIE showed a gradual downward trend in time and a spatial distribution pattern of high in the northeast and low in the southwest. The contribution of driving factors to CEIE has regional differences, and the power structure contributes most to the CEIE of the power sector, which promotes regional CE. Concurrently, most provinces with similar economic development, technological level, geographic location, or resource endowment characteristics show similar spatial and temporal trends. These detections will furnish broader insights into implementing CE reduction policies for the regional power sector.
引用
收藏
页码:68998 / 69023
页数:26
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