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.
