人工智能技术与人力资本结构升级：内在机理与经验检验

江西财经大学学报 ›› 2024, Vol. 0 ›› Issue (2): 13-26.

人工智能技术与人力资本结构升级：内在机理与经验检验

韩颖¹, 许薛璐²

1.西安交通大学经济与金融学院,陕西西安 710061;
2.上海师范大学商学院,上海 200233

收稿日期:2022-11-17 修回日期:2023-11-16 出版日期:2024-03-25 发布日期:2024-04-15
通讯作者: 许薛璐,上海师范大学讲师,经济学博士,主要从事产业经济学研究,联系方式xuxuelu124@shnu.edu.cn。
作者简介:韩颖,西安交通大学博士研究生,主要从事智能化与产业升级研究。
基金资助:
国家社会科学基金重点项目“人工智能发展对新时期中国就业的影响与应对政策研究”（20AJY006）

AI Technology and Human Capital Structure Upgrading: Intrinsic Mechanism and Empirical Test

HAN Ying¹, XU Xue-lu²

1. Xi’an Jiaotong University, Xi’an 710061;
2. Shanghai Normal University, Shanghai 200233, China

Received:2022-11-17 Revised:2023-11-16 Online:2024-03-25 Published:2024-04-15

摘要/Abstract

摘要： 随着人工智能技术对传统生产模式的智能化改造升级,生产任务日趋复杂化和专业化,对人力资本结构的适配性提出了新的时代要求。将人工智能发展、产业结构高级化以及人力资本结构高级化纳入一个有机的理论分析框架,可以刻画人工智能发展影响人力资本结构高级化的内在机制及其地区异质性。经验研究表明,人工智能发展不仅能够直接推动人力资本结构高级化,还能够通过促进产业结构高级化,进而对人力资本结构高级化进程产生积极作用。人工智能发展对人力资本结构高级化的促进作用存在显著的地区异质性,东部、中部和西部地区呈现梯次下降态势。黄河中游、长江中游以及大西南综合经济区人工智能发展对人力资本结构高级化的积极作用逐步凸显。政府应加快构筑人工智能人才培养的长效机制,推进人工智能技术与实体产业的融合发展,助力产业结构转型升级,进而促进人力资本结构高级化。同时,各地方政府应因地制宜,有序推进人工智能发展,缩小区域间人力资本结构差距。

关键词: 人工智能, 人力资本结构高级化, 产业结构高级化, 地区异质性

Abstract: With the intelligent transformation and upgrading of the traditional production mode by artificial intelligence technology, the production tasks are becoming more and more complicated and specialized, which puts forward new requirementsfor the adaptability of human capital structure. By incorporating the development of artificial intelligence, the upgrading of industrial structure and the upgrading of human capital structure into an organic theoretical analyzing framework, the internal mechanism and regional heterogeneity of the influence of artificial intelligence on the upgrading of human capital structure can be depicted. The empirical studies have concluded that, the development of artificial intelligence can not only directly promote the upgrading of human capital structure, but also play a positive role in the upgrading process of human capital structure by promoting the upgrading of industrial structure. The influence of artificial intelligence development on the advancement of human capital structure has significant regional heterogeneity: the eastern, central and western regions are experiencing a downward cascade, while the positive effect of the development of artificial intelligence in the middle reaches of the Yellow River, the middle reaches of the Yangtze River and the Southwest Comprehensive Economic Zone on the upgrading of human capital structurehas gradually highlighted. The government should speed up the construction of a long-term mechanism for the cultivation of artificial intelligence talents, promote the integrated development of artificial intelligence technology with the real industry, help the transformation and upgrading of industrial structure, and then promote the high-level advancement of human capital structure. At the same time, local governments should adapt to local conditions, orderly promote the development of artificial intelligence, and narrow the gap between regional human capital structures.

Key words: artificial intelligence, advanced human capital structure, upgrading of industrial structure, regional heterogeneity

中图分类号:

F249.2

韩颖, 许薛璐. 人工智能技术与人力资本结构升级：内在机理与经验检验[J]. 江西财经大学学报, 2024, 0(2): 13-26.

HAN Ying, XU Xue-lu. AI Technology and Human Capital Structure Upgrading: Intrinsic Mechanism and Empirical Test[J]. Journal of Jiangxi University of Finance and Economics, 2024, 0(2): 13-26.

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