Artificial Intelligence As An Accelerator For Urban Carbon Emission Efficiency Based On Spatial Durbin Model

The explosive growth of the Artificial Intelligence market signifies the acceleration of a new phase in the industrial revolution. The challenges of global climate change and rapid technological evolution necessitate innovative approaches to improve carbon emission efficiency. While advancements in renewable energy and carbon capture technologies have been widely explored, the transformative potential of artificial intelligence in optimizing carbon emission efficiency remains underexamined. Based on the data of 285 Chinese cities from 2010 to 2022, this study examines the impact and mechanism of artificial intelligence on carbon emission efficiency through the Spatial Durbin Model (SDM). The research findings indicate that the development of artificial intelligence has effectively promoted the improvement of carbon emission efficiency, and the reduction effect remains consistent across different spatial weights. In terms of mechanism analysis, both technological research and development innovation and environmental policies have enhanced carbon emission efficiency. Finally, some suggestions are put forward to promote the development of artificial intelligence and energy conservation and emission reduction in China.