Abstract:Under the background of the global green and low-carbon transformation,artificial intelligence technological innovation will have a certain impact on the improvement of provincial green total factor productivity.Based on panel data from 30 provinces in China from 2010 to 2023,this paper constructs multiple econometric models to explore the impact of artificial intelligence technological innovation on green total factor productivity,as well as the mechanism of action of industrial structure upgrading between the two.The research finds that artificial intelligence technological innovation can positively affect green total factor productivity,and as the level of artificial intelligence technological innovation improves,green total factor productivity is enhanced.The results of the mechanism test show that the upgrading of the industrial structure is the mediating mechanism through which artificial intelligence technological innovation promotes the improvement of green total factor productivity.Heterogeneity analysis reveals that artificial intelligence technological innovation can better promote the improvement of green total factor productivity in the non-resource-based regions.Further analysis reveals that under the positive regulation of intellectual property protection,artificial intelligence technological innovation can exert a stronger driving effect and empower the improvement of green total factor productivity.
李琨. 人工智能技术创新对省域绿色全要素生产率的影响及作用机制研究[J]. 中国科技论坛, 2025(12): 144-153.
Li Kun. Research on the Impact and Mechanism of Artificial Intelligence Technological Innovation on Provincial Green Total Factor Productivity. , 2025(12): 144-153.
[1]庄赟,吴自炜.数字经济赋能长江经济带绿色发展:机制、异质性及策略[J].区域经济评论,2024(4):85-93. [2]徐姗,曹芷君.产业结构优化升级、绿色税收与绿色全要素生产率:基于门槛效应与调节效应的分析[J].生态经济,2024,40(6):45-53. [3]丁声怿,白俊红.企业ESG表现与绿色全要素生产率[J].产业经济评论,2024(3):135-154. [4]孙振清,杨锐.人工智能技术创新对区域碳排放的影响:机制识别与回弹效应[J].科技管理研究,2024,44(5):168-177. [5]赵雨涵,于佳琪,晏欧伦,等.人工智能技术创新能抑制城市碳排放强度吗:来自中国277个地级市面板数据的证据[J].科学决策,2025(2):72-90. [6]邝劲松,杨坤宇,石校菲,等.省域人工智能发展对绿色全要素生产率的空间效应[J].经济地理,2024,44(7):144-154. [7]XIE L,MU Z X,LI W M,et al.The impact of the circular economy pilot policy on green total factor productivity:Evidence from a quasi-natural experiment in China[J].Clean Technologies and Environmental Policy,2024,27(7):1-16. [8]吴朝霞,龙思宇,杨胜苏,等.中国省域绿色全要素生产率空间关联网络的结构特征及其演化机制[J].生态学报,2025,45(12):5736-5752. [9]王琳,陈志军.价值共创如何影响创新型企业的即兴能力:基于资源依赖理论的案例研究[J].管理世界,2020,36(11):96-110,131,111. [10]丁相安,王晓岭,韩少杰.数字化转型、员工责任和企业全要素生产率[J].管理评论,2024,36(10):199-211. [11]王山,陈昌兵.中美人工智能技术创新的动态比较:基于人工智能技术创新大数据的多S曲线模型分析[J].北京工业大学学报(社会科学版),2023,23(3):54-67. [12]陈芳,刘松涛.人工智能技术能否成为引领城市绿色发展的新引擎[J].南京财经大学学报,2022(3):78-86. [13]钞小静,沈路.创新价值链视角下人工智能技术对制造业企业绿色创新效率的影响[J].经济学动态,2025(4):50-67. [14]韩先锋,李佳佳,朱承亮.中国人工智能发展的包容性绿色增长效应[J].资源科学,2025,47(6):1278-1294. [15]ZHAO K,WU C,LIU J.Can artificial intelligence effectively improve China's environmental quality?A study based on the perspective of energy conservation,carbon reduction,and emission reduction[J].Sustainability,2024,16(17):7574-7574. [16]陈芳,刘松涛.人工智能技术能否成为引领城市绿色发展的新引擎[J].南京财经大学学报,2022(3):78-86. [17]李计广,宫方茗,王元彬.人工智能技术创新如何影响制造业碳减排?[J].中国人口·资源与环境,2025,35(2):14-24. [18]胡雪萍,李玉颂.人工智能如何驱动居民消费碳减排?[J].福建论坛(人文社会科学版),2025(4):80-100. [19]张裕稳,陈万明.人工智能、偏向型技术进步与技能溢价的互动机制[J].科技管理研究,2025,45(3):1-8. [20]刘刚,李依菲,刘汉文.人工智能开放创新平台产业赋能机制研究[J].科学管理研究,2024,42(2):57-63. [21]刘明洋,万勇.工业智能化对城市绿色生态效率影响效应研究[J].科学管理研究,2024,42(6):106-115. [22]王玉爽,钟茂初.生态文明示范区建设对绿色全要素生产率的影响与机制研究[J].现代财经(天津财经大学学报),2023,43(9):89-107. [23]张彦彦,胡善成.垂直专业化、创新与绿色全要素生产率:基于制造业行业的经验证据[J].中国科技论坛,2022,(11):104-113,124. [24]夏建红,刘松,丁晨峰,等.环境规制与绿色全要素生产率:促进还是抑制?[J].经济问题,2024(4):60-67. [25]陈楠,蔡跃洲.人工智能技术创新与区域经济协调发展:基于专利数据的技术发展状况及区域影响分析[J].经济与管理研究,2023,44(3):16-40. [26]徐维祥,牟雅倩,周建平,等.人工智能技术创新对产业链现代化的影响效应及作用机制[J].科技进步与对策,2025,42(13):14-24. [27]关海玲,屈田雨.环境规制对产业结构升级的影响:基于中国284个地级市的经验证据[J].经济问题,2023(7):29-37. [28]冯喜良,邱玥.人工智能技术创新能拉动企业劳动力需求吗?[J].北京工商大学学报(社会科学版),2023,38(2):15-27. [29]谢伟丽,石军伟,张起帆.人工智能、要素禀赋与制造业高质量发展:来自中国208个城市的经验证据[J].经济与管理研究,2023,44(4):21-38.