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Reducing energy intensity is an important measure to achieve the goal of “double carbon” and build a beautiful Xinjiang. Selecting the panel data of 14 regions in Xinjiang from 2010 to 2020, this paper investigates the influence of digital economy and industrial structure distortion on Xinjiang’s energy intensity by using dynamic panel data model, spatial Durbin model, intermediary effect model, and panel smooth transition model. The results show that the digital economy can reduce the energy intensity, but it has regional heterogeneity. The industrial structure distortion has significantly increased Xinjiang’s energy intensity; Digital economy effectively alleviates the industrial structure distortion, thus curbing energy intensity; The influence of digital economy on Xinjiang’s energy intensity has intermediary effect and adjustment effect, and with the improvement of industrial structure distortion, the inhibitory effect of digital economy on Xinjiang’s energy intensity tends to decline. Therefore, it is necessary to speed up the development of digital economy, reduce the industrial structure distortion, strengthen environmental regulation, promote technological innovation, rationally adjust energy prices, raise the entry threshold of FDI, expand opening to the outside world, promote the synchronous scientific development of “four modernizations”, and eliminate the root causes of industrial structure distortion, so as to reduce energy intensity.

Based on China’s provincial panel data during 2012–2019, this paper performs an empirical analysis of the dynamic effect and regional difference of industrialization and urbanization on the energy intensity in China by separating the energy intensity into three levels including low, middle and high and using the dynamic panel data with system GMM estimation. The results show that the energy intensity will increase by 0.4298% for every 1% increase in the industrialization level on the premise of keeping other variables unchanged. For every 1% increase in the urbanization level, the energy intensity will increase by 0.5674% on average. For every 1% increase in energy intensity in the previous period, the energy intensity in that year will increase by 0.7968% on average. Moreover, there are regional differences in the effects of industrialization and urbanization on the energy intensity in areas with different energy intensities. In addition, all of the factors including the development level of the regional economy, energy price, and technological innovation have different effects on the energy intensity in China. Meanwhile, there exist the rebound effects of the technological innovation in China, and the energy price has an induced effect on the technological innovation. Undoubtedly, industrialization and urbanization jointly promote the increase in energy intensity. At the same time, the level of economic development, energy prices and technological innovation are also reasons for the differences in the energy intensity among regions. Therefore, in order to effectively reduce energy intensity while carrying out technological innovation, promoting high-quality development and increasing income, it is necessary to improve the internal quality of industrialization and urbanization, and to promote new resource-saving and environmentally friendly methods of industrialization and urbanization.

Stimulating the shift to low-carbon energy and decreasing energy intensity are crucial strategies for green growth. Reducing energy intensity is an important measure to achieve the goal of “double carbon” and building a beautiful new China. Based on the provincial panel data of China from 2011 to 2020, this paper empirically tests the relationship among digital financial inclusion, industrial structure distortion, and energy intensity by using the spatial Durbin model and the intermediary effect method. The results show that the development of digital financial inclusion can promote the decline of energy intensity, and industrial structure distortion has a partial intermediary effect in the relationship between digital financial inclusion and energy intensity. Because of this, it is important to speed up the development of digital financial inclusion, increase the innovation of digital financial inclusion products and services, strengthen the supervision of digital financial inclusion, and reduce the distortion of the industrial structure so that digital finance can play its full role in reducing energy intensity.

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