工业技术经济2025，Vol.44Issue(10)：21-31,11.DOI:10.3969/j.issn.1004-910X.2025.10.003
人工智能的生产率效应:论域、进路与展望
Productivity Effects of Artificial Intelligence:Topical Domains,Approaches and Prospects
摘要
Abstract
Will the development and wide application of artificial intelligence bring a significant productivity dividend,or will it trigger a new Solow productivity paradox and Baumol's disease?This paper employs a systematic literature review method to conduct a comprehensive analysis of research on the productivity effects of artificial intelligence.The findings of this study are as fol-lows:(1)There is no definitive conclusion regarding the relationship between those two.Studies that argue for no significant effects often consider the multidimensional adaptability of AI technology and the lag in productivity effects,while those that advocate for significant promoting effects tend to focus on AI's substitution for traditional labor and skill spillovers.(2)The mechanisms through which productivity effects influence labor and positions at high-and low-skill levels differ.(3)The impacts of AI on pro-ductivity exhibits heterogeneity due to factors such as firm size,ownership type,and the technological stage firms are at.(4)As an auxiliary tool,generative AI has already demonstrated significant promoting roles in certain industries,though there are differing views on its impacts on high-and low-skilled labor.Based on these findings,this paper suggests that future research should pay more attention to the impacts of specific AI technological segments on productivity,with particular emphasis on mechanisms and pathways,as well as the productivity effects of generative AI.关键词
生产率悖论/鲍莫尔病/人工智能/生成式人工智能/生产率/系统性文献综述/劳动替代/技能溢出Key words
Productivity Paradox/Baumol's Disease/artificial intelligence/generative artificial intelligence/productivi-ty/systematic literature review/labor substitution/skill spillover分类
管理科学引用本文复制引用
代栓平,陈君虹,张成甦..人工智能的生产率效应:论域、进路与展望[J].工业技术经济,2025,44(10):21-31,11.基金项目
吉林省教育厅科学研究项目博士专项"'四链融合'赋能长春国家农高区培育新质生产力的机制路径研究" （）
教育部"春晖计划"项目(项目编号:HZKY20220381) （项目编号:HZKY20220381）
2023年海南省"马工程"专项课题"总体国家安全观下社会治理数字化的风险识别、动态预警与海南方案"(项目编号:2023HNMGC06). （项目编号:2023HNMGC06）
