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.

Does digital economy development reduce carbon emission intensity?

“…Scholars mainly use Kaya identity (Ma and Cai, 2018;Eskander and Nitschke, 2021), Divisia index method (Ma and Cai, 2018;Eskander and Nitschke, 2021), and Laspeyres index decomposition method (González and Martínez, 2012;Chen et al, 2021) decompose the influencing factors of carbon emissions. Although the conclusions of different methods are different, it is generally believed that technological innovation (Zhang G. et al, 2022), energy structure (Pui and Othman, 2019), industrial structure (Han and Jiang, 2022), and economic growth (Xiao and Peng, 2023) are the main factors affecting carbon emissions.…”

The Impact of Environmental Protection Investment on Provincial Carbon Emissions in China: Empirical Analysis Based on Two-way Fixed Effects Model

“…t [10]. On the one hand, economic growth will spur technical advancement and improve environmental quality for people; on the other hand, the development will inevitably lead to an increase in carbon dioxide emissions.…”

Does energy-consuming rights trading policy achieve urban pollution and carbon reduction? A quasi-natural experiment from China

“…China's role as the leading global consumer of energy has profound implications for the global environment. The nation's energy consumption and its ensuing pollution emissions issues have become a focal point for academic communities globally (Fatima et al, 2021;Bangjun et al, 2022;Meo et al, 2023;Xiao and Peng, 2023). As illustrated in Figure 1, China's energy mix relies heavily on coal, crude oil, and natural gas, supplemented by other sources such as hydropower and nuclear power.…”