Analysis of the Impact of Artificial Intelligence on Green Total Factor Productivity under Green Development

伴随着新一轮科技革命与产业变革，人工智能在促进绿色低碳发展领域扮演着重要角色。本研究基于2011~2023年全国30个省份的面板数据，构建了人工智能与绿色全要素生产率的指标体系。首先使用双固定效应模型分析两者影响机制，随后进行异质性分析，探究区域间影响差异，最后借助空间杜宾模型探究两者的空间溢出效应，研究结果表明：人工智能的发展显著促进了绿色全要素生产率的提升，且这一影响存在明显的区域异质性，与此同时人工智能对绿色全要素生产率的促进作用不仅体现在本地区，还对周边地区存在正向的空间溢出效应，表明两者在空间维度上存在有互动关系。With the new round of technological revolution and industrial transformation, artificial intelligence plays an important role in promoting green and low-carbon development. Based on the panel data of 30 provinces across the country from 2011 to 2023, this study constructed an indicator system for artificial intelligence and green total factor productivity. Firstly, the double fixed effects model was used to analyze the influence mechanisms of the two. Then, heterogeneity analysis was conducted to explore the differences in influence between regions. Finally, the spatial Durbin model was used to explore the spatial spillover effects of the two. The research results show that: The development of artificial intelligence has significantly promoted the improvement of green total factor productivity, and this impact shows obvious regional heterogeneity. At the same time, the promoting effect of artificial intelligence on green total factor productivity is not only reflected in the local area, but also has a positive spatial spillover effect on the surrounding areas, demonstrating an interactive relationship between the two in the spatial dimension.