溢出效应
空间分布
发射强度
温室气体
驱动因素
电
投资(军事)
中国
环境科学
强度(物理)
空间相关性
分布(数学)
空间相关性
经济地理学
自然资源经济学
经济
地理
材料科学
数学
工程类
统计
政治
光电子学
光致发光
政治学
数学分析
法学
遥感
电气工程
物理
量子力学
考古
生态学
微观经济学
生物
作者
Sun Xiao-yan,Wenwei Lian,Gao Tianming,Zizhan Chen,Hongmei Duan
标识
DOI:10.1016/j.jclepro.2023.136908
摘要
As China's largest source of carbon emissions, the power sector's transition to lower levels of carbon emission intensity is critical to achieving China's carbon emission (CE) reduction commitments. In this paper, the CE intensity of electricity generation (CEIE) in 30 provinces from 2000 to 2019 is calculated, and the temporal evolution and spatial distribution characteristics of CEIE are discussed. Then, the spatial spillover effect of each driving factor on CEIE is calculated using the spatial Durbin model. The CEIE reveals a first increasing and then decreasing trend, and the regional differences gradually decrease. Simultaneously, the CEIE has a significant positive spatial correlation, and the overall spatial distribution pattern is high in the northeast and low in the southwest of the country. Economic development and foreign trade both inhibit CEIE, while electricity consumption, research and development, unit operation level, and power structure all promote CEIE. Each driving factor's influence on regional CEIE exerts a spatial spillover effect. Among them, the spatial positive spillover effects of industrial structure and environmental protection investment are the most obvious, while the spatial spillover effects of other driving factors are not apparent. Furthermore, these findings provide practical insights into policy adjustments and the coordinated interregional development of low-carbon electricity.
科研通智能强力驱动
Strongly Powered by AbleSci AI