摘要
在当前智能转型和高质量发展的趋势下,利用省级面板数据,以人工智能为自变量,以工业绿色TFP为因变量,分析了人工智能对工业绿色全要素生产率的影响。此外,选取了财政支出水平、城市金融发展水平、对外开放水平和各城市经济发展水平等相关变量作为控制变量,采用逐步回归法对人工智能和工业GTFP进行检验。结果表明:人工智能的发展对于提高工业GTFP具有显著的积极影响。这种影响主要是通过推动金融发展水平、加速技术进步和优化能源结构等途径来实现的,从而间接提高了工业GTFP。
Under the current trend of intelligent transformation and high-quality development,the impact of artificial intelligence on industrial green total factor productivity is analysed using provincial panel data,with artificial intelligence as the independent variable and industrial green TFP as the dependent variable.In addition,relevant variables such as the level of fiscal expenditure,the level of urban financial development,the level of openness to the outside world and the level of economic development of each city were selected as control variables,and the stepwise regression method was used to test AI and industrial GTFP.The results show that the development of artificial intelligence has a significant positive impact on increasing industrial GTFP.This impact is mainly achieved by promoting the level of financial development,accelerating technological progress and optimising the energy structure,thus indirectly increasing industrial GTFP.
作者
冯乐童
Feng Letong(Tianjin University of Commerce,Tianjin 300000,China)
出处
《现代工业经济和信息化》
2024年第1期67-69,73,共4页
Modern Industrial Economy and Informationization
关键词
人工智能
工业绿色全要素生产率
技术进步
artificial intelligence
industrial green total factor productivity
technological progress