技术解构视域下人工智能对经济增长路径的影响研究  

Research on the Influence of Artificial Intelligence on Economic Growth Path from the Perspective of Technology Deconstruction

作　　者：刘征驰[1] 陈文武 魏思超 LIU Zhengchi;CHEN Wenwu;WEI Sichao(Hunan University,Changsha,China)

机构地区：[1]湖南大学经济与贸易学院

出　　处：《管理学报》2023年第10期1506-1514,共9页Chinese Journal of Management

基　　金：国家自然科学基金资助项目(72071073);湖南省自然科学基金资助项目(2020JJ4226);湖南省研究生科研创新资助项目(CX20210394)。

摘　　要：在将人工智能技术解构为数据、算法和算力的基础上,构建包含人工智能服务部门、人工智能应用部门和居户部门的动态一般均衡模型,刻画人工智能影响经济增长的理论机制。研究发现:模型在长期中存在非平衡的稳态增长路径,这种内生增长来源于数据要素通过人工智能应用形成的对资本要素的替代性;数据、算法和算力的积累及其生产效率的提高对产出增长率具有正向影响;人工智能所特有的“自学习效应”在短期内能够将产出增长率递减倾向扭转为递增,在长期中能够提高产出增长率的稳态水平。On the basis of deconstructing artificial intelligence into data,algorithms and computing power,this study constructs a dynamic general equilibrium model including artificial intelligence service sector,artificial intelligence application sector and household sector,to explore the impact mechanism of artificial intelligence on economic growth.Three major results are derived from the model.First,there exists an unbalanced steady-state growth path in the long run,and the endogenous growth comes from the substitution of the data factor to the capital factor through the application of artificial intelligence.Second,the accumulation of data,algorithms and computing power and the increase in the production efficiency impose positive effects on the output growth rate.Third,the unique“self-learning effect”of artificial intelligence can reverse the diminishing trend of output growth rate into an increasing trend in the short run,and can increase the steady-state level of output growth rate in the long run.

关 键 词：人工智能 技术解构 内生增长 动态一般均衡模型 

分 类 号：C93[经济管理—管理学]