Factor decomposition for ecological pressure of the whole industrial energy carbon footprint: a case study of China.

The purpose of this paper is to study the influencing factors of the ecological pressure of the energy carbon footprint (EPECF) of China's whole industry from 2000 to 2018. First, the EPECF of 48 sub industries is calculated, then divides 48 sub-industries into high-, medium-, and low-pressure industries, and uses the logarithmic mean Divisia index (LMDI) method to analyze and summarize the main driving forces of China's industrial EPECF changes. Finally, policy suggestions for the future industrial decompression are put forward.

Decoupling trend and emission reduction potential of CO emissions from China's petrochemical industry.

This paper aims to study the decoupling status and emission reduction potential of China's petrochemical industry from 1996 to 2019. Firstly, the IPCC method is used to calculate the CO emissions of the petrochemical industry in China, then the logarithmic mean Divisia index (LMDI) method is used to identify the influencing factors of CO emissions, then the decoupling index is constructed to analyze the dependence of economic development on CO emissions, and finally the emission reduction potential model is established by using the influencing factors to reflect the CO emission reduction potential of the petrochemical industry. The results reveal that (1) the CO emissions can be divided into two stages of slow decline (1996-2000), (2015-2019), and one stage of rapid growth (2000-2015).