Analysis on the influence factors of carbon emissions at region level and the industrial sectors: A case study

Abstract

The consumption of energy in industries has resulted in significant carbon emissions. The decomposition analysis of carbon emission factors provides a valuable framework for carbon emission reduction. Two distinct logistic mean divided index models are constructed using logistic mean divided index decomposition to conduct a comprehensive decomposition analysis of Shandong, Guizhou, and Henan provinces in China and their industrial sectors. Compared with the conventional results of the logistic mean divided index model, the cumulative effect is incorporated to elucidate the influence of each factor on carbon emissions. The result shows that coal accounts for over 75% in the three provinces, and these industrial sectors contribute more than 65% of carbon emissions. In these three provinces, the economic output effects are a significant determinant for carbon emissions growth. The industrial structure effects and energy intensity effects represent the primary limiting factors. The primary factor inhibiting carbon emissions from the industrial sectors is energy intensity. To achieve regional green low-carbon transformation, suggestions are put forward from the aspects of economic output, energy consumption, and industrial structure.