摘要
基于2011—2022年沪深A股上市公司数据,探讨人工智能对战略性新兴企业新质生产力的影响。研究发现:人工智能培育了战略性新兴企业的新质生产力,且该效应在直辖市、中心城市、高科技和高竞争性行业更显著,但存在时间滞后效应;从劳动力结构调整视角看,人工智能可通过减少常规劳动岗位与低技能劳动力同时增加非常规劳动岗位与高技能劳动力的途径培育新质生产力;从要素增益技术变迁视角看,人工智能可通过增益资本和劳动要素的途径培育新质生产力;人工智能对战略性新兴企业新质生产力的影响在行业和地区内部表现为溢出效应。
Based on the data of A-share listed companies in Shanghai and Shenzhen from 2011 to 2022,the study explored the effect of artificial intelligence(AI)on the new quality productive forces of strategic emerging enterprises.The study found that AI has fostered new quality productive forces in strategic emerging enterprises,with the effect being more pronounced in municipalities,central cities,high-tech industries,and highly competitive sectors,and there was a time lag effect.From the perspective of labor force restructuring,AI could foster new quality productive forces by reducing routine jobs and low-skilled labor while increasing non-routine jobs and high-skilled labor.From the perspective of factor gain technological change,AI could cultivate new quality productive forces through the gain of capital and labor factors.In addition,this impact of AI manifested as spillover effects within industries and regions.
作者
张轩铭
田甜
ZHANG Xuan-ming;TIAN Tian(School of Insurance and Economics,University of International Business and Economics,Beijing 100029;Sun Yueqi Honors College,China University of Mining and Technology,Xuzhou 221116,China)
出处
《山西财经大学学报》
CSSCI
北大核心
2024年第9期89-99,共11页
Journal of Shanxi University of Finance and Economics
关键词
人工智能
新质生产力
战略性新兴企业
劳动力结构调整
要素增益技术变迁
artificial intelligence
new quality productive forces
strategic emerging industries
labor force restructuring
factor gain technological change
作者简介
张轩铭(2002—),男,江苏阜宁人,对外经济贸易大学保险学院博士研究生,主要研究方向是量化风险管理、财务系统管理理论与方法;田甜(2000—),女,江苏宿迁人,中国矿业大学孙越崎学院博士研究生,主要研究方向是企业数字化转型理论模型与智库双螺旋理论。
