The Impact Mechanism of Digital Empowerment on Low-carbon Transformation of Traditional Energy Industries
Trying to analyze the influence mechanism of low-carbon transformation of traditional energy industry under a unified logical framework.This paper takes the relevant panel data of 30 provinces in China from 2011 to 2021 as the research sample,and processes the data through the entropy right-TOPSIS method to evaluate the regional digital empowerment level and the effect of the low-carbon transformation of the traditional energy industry.In addition,the sample is divided into three regions,and the dynamic panel model is constructed,and the systematic Gaussian hybrid model(GMM)method is used for empirical analysis to further explore the impact of digital empowerment on the low-carbon transformation of the traditional energy industry.The results show that the impact of digital empowerment on the low-carbon transformation of the traditional energy industry presents an inverted U-shaped curve relationship;provinces with higher levels of digital empowerment often have better low-carbon transformation effects in traditional energy industries;digital talents are conducive to the low-carbon transformation of the traditional energy industry,and can create value for industrial transformation;there are significant differences in the level of digital empowerment and low-carbon transformation of traditional energy industries among different provinces,which are closely related to their geographical location,resource distribution,and government policies.
digital empowermenttraditional energy industrylow-carbon transformationentropy right-TOPSIS methodGMMindustrial transformation
NETL
NSTL
万方数据
