省域人工智能发展对绿色全要素生产率的空间效应

Spatial Effect of Provincial Artificial Intelligence Development on Green Total Factor Productivity

人工智能快速发展已然成为推动经济绿色转型的强大引擎。文章系统阐释了省域人工智能发展影响我国绿色全要素生产率的空间机制。基于2010—2022年省域面板数据,从技术条件、智能应用和创新实践3个维度构建省域人工智能发展水平综合评价指标体系,利用超效率SBM-GML指数模型测度绿色全要素生产率,构建空间杜宾模型实证检验省域人工智能发展对绿色全要素生产率的空间效应。研究发现:①不同省域人工智能发展和绿色全要素生产率的空间集聚现象存在显著差异;②人工智能发展对绿色全要素生产率具有明显空间溢出效应,多种稳健性检验方式验证结论可靠;③异质性检验显示分地区人工智能发展对绿色全要素生产率的空间效应存在差异。④调节机制检验表明,人工智能发展与绿色全要素生产率之间的关系受到产业集聚的调节,较高的产业集聚水平强化了人工智能的作用。研究结论为评估人工智能发展的空间效应提供了全新视角和数据支撑,同时为探寻绿色全要素生产率的提升路径及对应新质生产力形成提供参考。

The rapid development of artificial intelligence has become a powerful engine to promote green economic transformation.This article systematically explains the spatial mechanism of the impact of provincial artificial intelligence development on China's green total factor productivity,and builds a comprehensive evaluation index system of provincial artificial intelligence development level from three dimensions of technical conditions,intelligent application and innovation practice based on the provincial panel data from 2010 to 2022.It uses the superefficiency SBM-GML index model and the spatial Durbin model to measure the green total factor productivity and test the spatial effect of provincial artificial intelligence development on green total factor productivity respectively.The results show that:1)The spatial agglomeration of artificial intelligence development and green total factor productivity is significantly different in different provincial regions.2)The development of artificial intelligence has an obvious spatial spillover effect on green total factor productivity,and the results are reliable through various robustness testing methods.3)Heterogeneity test shows that the spatial effect of artificial intelligence development on green total factor productivity is different in different regions.4)The adjustment mechanism test shows that the relationship between artificial intelligence development and green total factor productivity is regulated by industrial agglomeration,and the higher level of industrial agglomeration strengthens the role of artificial intelligence.The research conclusions provide data support and a new perspective for evaluating the spatial effects of artificial intelligence development,and provide reference for exploring the improvement path of green total factor productivity and the formation of corresponding new quality productive forces.