人工智能政策的经济效应——基于2015年人工智能政策的准自然实验  

Economic Effects of Artificial Intelligence Policy——Quasi-Natural Experiment Based on the Artificial Intelligence Policy in 2015

作　　者：孙昊颖 李胜会[2] SUN Hao-ying;LI Sheng-hui(School of Economics and Finance,South China University of Technology,Guangzhou 510006;School of Public Administration,South China University of Technology,Guangzhou 510641;College of Economy and Trade,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China)

机构地区：[1]华南理工大学经济与金融学院,广东广州510006 [2]华南理工大学公共管理学院,广东广州510641 [3]仲恺农业工程学院经贸学院,广东广州510225

出　　处：《山西财经大学学报》2023年第12期16-29,共14页Journal of Shanxi University of Finance and Economics

基　　金：国家社会科学基金重点项目(21AGL027);广州市社会科学十四五规划项目(2023GZGJ53)。

摘　　要：基于2015年人工智能政策,探究其在提升企业盈利能力中的作用。以中小板和创业板上市企业作为研究样本,构建双重差分模型并进行准自然实验分析,识别人工智能政策的经济成效。结果表明,人工智能政策的实施初期在提升企业盈利能力方面存在一定局限性,但对东部地区和制造业企业的盈利能力提升较为明显。进一步研究发现,增加创新投入和缓解融资约束是人工智能政策提升企业盈利能力的机制。Based on the artificial intelligence policy in 2015,the paper mainly explored the role of the policy in promoting enterprises'profitability.Taking SMEs and GEM listed enterprises as the example,the research firstly constructed the difference-in-differences approach to carry out the analysis of quasi-natural experiment,so as to identify the economic results of this policy.The results indicated that,at the early stage,there were certain limitations in the promoting effect of the policy,while the effect was more significant in the eastern region and in manufacturing enterprises.Further study revealed that,increasing innovation investment and alleviating financing constraints were two mechanisms through which the policy could enhance enterprises'profitability.

关 键 词：人工智能政策 经济成效 盈利机制 融资约束 研发投入 

分 类 号：F276[经济管理—企业管理]