Research on the Spatio-Temporal Evolution and Impact of China’s Digital Economy and Green Innovation
Chunshan Zhou | Xiaoli Wei | Xiangjun Dai | Guojun Zhang
It is of great significance to study the impact of China’s digital economy on green innovation under present conditions. In this work, panel data were used, and research tools such as the entropy method, the Markov chain with a spatial Markov probability transition matrix, and a spatial Durbin model were applied to analyze the temporal and spatial evolution of the digital economy and green innovation in 287 Chinese cities from 2011 to 2021, exploring the influence of the digital economy on green innovation. The results show that the digital economy and green innovation in Chinese cities exhibited an upward trend. There was a basic spatial pattern consisting of “high levels in the east and low levels in the west” regarding the digital economy and green innovation, with the aggregation types primarily being “HH” and “LH”. Moreover, the types of digital economy and green innovation in Chinese cities are relatively stable, with neighboring areas influencing local changes. The digital economy has a significant promotional effect on green innovation, as well as spatial spillover effects; the differing influences over time can be used to categorize the cities into four groups, with most falling within the first two categories. Based on these findings, relevant countermeasures are proposed, seeking to further enhance the role of the digital economy in promoting green innovation. This work provides a research basis and policy suggestions to contribute to continuous improvements in China’s digital economy and green innovation, leveraging the promotional effects of the former on the latter.
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