温室气体
人均
能源消耗
节能
环境科学
发射强度
碳纤维
能量强度
自然资源经济学
中国
高效能源利用
驱动因素
消费(社会学)
环境经济学
环境工程
环境保护
经济
工程类
生态学
材料科学
地理
人口
复合材料
人口学
考古
社会学
电气工程
复合数
生物
激发
社会科学
标识
DOI:10.3389/fenvs.2022.1096650
摘要
With the continuous progress of social production, it has brought huge benefits, but also led to an increasingly prominent global warming problem. Therefore, energy conservation and emission reduction has become an important direction of national industrial development. In order to promote the effective promotion of China’s carbon emission reduction action, the study adopted the improved STIRPAT model and Granger test to analyze the factors affecting China’s energy consumption carbon emissions, combined with Johan equation and GFI decomposition to decompose the factors affecting China’s energy consumption carbon emissions, excavated the key influencing conditions of China’s energy consumption carbon emissions, and put forward policy recommendations on energy consumption carbon emissions reduction. The results show that economic growth has the greatest impact on China’s per capita carbon emissions, followed by urbanization, industrial structure and energy structure. At the same time, industrial energy intensity has an inhibitory effect on per capita carbon emissions growth. From 2019 to 2021, Shanghai, Tianjin, Guangdong and other 10 provinces will achieve good emission reduction results. Therefore, in the analysis of energy conservation and emission reduction, it is of great value to understand the influencing factors of carbon emissions, which can provide direction and guidance for exploring an effective low-carbon development path, and play an important role in promoting the realization of the “double carbon” goal.
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