Exploring the Coupling Coordination Mechanism of Green Governance and Low-Carbon Consumption in Enterprises: An Empirical Analysis of China

To further explore the degree of coordinated development between enterprise green governance (EGG) and green low-carbon consumption (GLC), this paper establishes an index system using the entropy weight method to measure the coupling coordination degree between the two. Based on the spatio-temporal differentiation study, the grey correlation degree model and geographical detector are used to identify and analyze the driving factors. By studying the coupling coordination degree of 30 provinces (municipalities) in China from 2015 to 2021, this paper draws the following conclusions: (1) The overall level of EGG and GLC has improved from 2015 to 2021. A spatial distribution pattern is formed with Henan as the center, extending towards the northeast-southwest direction. (2) Regarding time, the coupling coordination between EEG and GLC shows a two-stage development trend. Regarding space, there is a significant spatial correlation between the coupling coordination relationship, showing a high clustering trend. (3) Through Grey Correlation and Geodetector, it can be concluded that the interaction of factors is strong and in a dynamic adjustment process. Among them, the correlation of economic and cultural factors has maintained a stable upward trend. In contrast, political and social factors have gradually decreased, showing a trend of "gradual disconnection." (4) According to the prediction results of the GM (1,1) model, Beijing and Guangdong will take the lead in achieving coordinated development of EGG and GLC.