【摘要】 基于2011—2023年中国地级市面板数据，实证考察人工智能(AI)技术创新对城市碳排放绩效的影响。研究发现，AI技术创新显著提升了城市碳排放绩效，且该促进作用在秦岭-淮河以北城市、资源型城市、高普惠金融水平和低财政支出水平城市中更为显著。机制检验揭示，AI主要通过驱动绿色技术创新、推动产业结构升级以及提升能源效率三种路径实现减排增效。值得注意的是，AI的减排效应受到数字基础设施水平的制约，呈现边际效应递减特征。同时，地方政府设定的经济增长目标和环境目标构成的双重目标约束，在AI与碳排放绩效的关系中发挥显著调节作用。此外，研究也观测到AI减排影响存在一定的回弹效应。结论不仅为城市低碳转型提供了“智能+绿色”融合的新模式参考，也为地方政府制定差异化AI技术推广策略、协同推进智能化与绿色化发展提供了政策启示。更多还原

【Abstract】 Based on panel data of Chinese prefecture-level cities from 2011 to 2023, this study empirically examined the impact of artificial intelligence(AI) technology innovation on urban carbon emission performance. The study found that AI technology innovation significantly improves urban carbon emission performance, and this promoting effect is more pronounced in cities north of the Qinling-Huaihe line, resource-based cities, cities with high levels of inclusive finance, and cities with low levels of fiscal expenditure. Mechanism tests revealed that AI technology primarily achieves emission reduction and efficiency gains through three pathways: driving green technological innovation, promoting industrial structure upgrades, and enhancing energy efficiency. Furthermore, the constraints imposed by local governments’ dual targets of achieving economic growth and environmental objectives play a significant moderating role in the relationship between AI and carbon emission performance. The findings of this study provide a reference for a new intelligent and green integrated model for urban low-carbon transformation. They also offer policy insights for local governments to formulate differentiated AI technology promotion strategies and to collaboratively advance intelligent and green development.更多还原