Sustainable Development Effect and Optimization Strategy of Digital Service Innovation Driving Industrial Low-Carbon Transformation under the Dual Carbon Targets

Abstract

Under the strategic background of China's "carbon peaking and carbon neutrality" goals, digital service innovation has become a core driving force for promoting the low-carbon transformation of the real economy. Based on the panel data of 30 provincial-level administrative regions in China from 2015 to 2023, this paper constructs an evaluation index system for digital service innovation and industrial low-carbon transformation, and uses the two-way fixed effect model, mediation effect model and threshold effect model to empirically test the sustainable development effect of digital service innovation driving industrial low-carbon transformation, as well as its transmission mechanism and heterogeneous characteristics. The research finds that digital service innovation has a significant positive driving effect on industrial low-carbon transformation, and this effect has a double threshold characteristic based on the level of regional digital infrastructure. The mediation effect test shows that green technological innovation and energy structure optimization are the two core transmission paths of digital service innovation driving industrial low-carbon transformation, with the mediation effects accounting for 32.7% and 28.9% respectively. Heterogeneity analysis shows that the driving effect is more significant in eastern coastal regions and high-tech industrial agglomeration areas than in central and western regions and resource-dependent industrial areas. On this basis, this paper puts forward targeted optimization strategies from the aspects of improving the digital service innovation system, strengthening the construction of digital infrastructure, and promoting the deep integration of digital services and green industries, so as to provide empirical reference for the high-quality realization of the dual carbon targets.