[Empirical Evidence of Artificial Intelligence Empowering Urban Green and Low-carbon Development： Taking the Yangtze...

Driven by the Fourth Technological Revolution and the "dual carbon" strategic goals， artificial intelligence has opened up new paths for the green and low-carbon development of cities. Exploring the causal relationship between the two is of great significance for the sustainable transformation of China's economy. Taking the urban panel data of the Yangtze River Economic Belt with a relatively high degree of artificial intelligence development from 2011 to 2021 as the research sample， multiple models such as bidirectional fixed effects， dual machine learning， and spatial Dubin were adopted to investigate the enabling role of artificial intelligence in the green and low-carbon development of cities. It was found that artificial intelligence had a significant resource-saving effect and environmental emission reduction effect on urban economy. This conclusion still held true after a series of robustness tests. Artificial intelligence mainly achieved resource conservation and environmental emission reduction through technological innovation and industrial structure upgrading. Moreover， the educational level and the degree of market integration had a positive moderating effect in the process of artificial intelligence empowering the green and low-carbon development of cities. Spatial analysis showed that in terms of environmental emission reduction， artificial intelligence had a promoting effect on both local and neighboring environmental emission reduction. In terms of resource conservation， artificial intelligence can promote local resource conservation but has no obvious impact on the resource consumption intensity of neighboring areas.