Decomposition of carbon emission influencing factors and research on emission reduction performance of energy consumption in China

Abstract

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.