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

Abstract

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

CLC Number:

F249.2

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.

References

[1] 谢伏瞻. 论新工业革命加速拓展与全球治理变革方向[J]. 经济研究, 2019, (7): 4-13.
[2] 刘智勇, 李海峥, 胡永远, 李陈华. 人力资本结构高级化与经济增长——兼论东中西部地区差距的形成和缩小[J]. 经济研究, 2018, (3): 50-63.
[3] Autor D.H., Levy F., Murnane R. J. The Skill Content of Recent Technological Change: An Empirical Exploration[J]. The Quarterly Journal of Economics, 2003, 118(4): 1279-1333.
[4] Acemoglu D., Restrepo P.The Race between Man and Machine: Implication of Technology for Growth, Factor Share, and Employment[J]. American Economic Review, 2018, 108(6): 1488-1542.
[5] 李舒沁, 王灏晨, 汪寿阳. 人工智能背景下制造业劳动力结构影响研究——以工业机器人发展为例[J]. 管理评论, 2021, (3): 307-314.
[6] 孙早, 侯玉琳. 工业智能化如何重塑劳动力就业结构[J]. 中国工业经济, 2019, (5): 61-79.
[7] 张远, 李焕杰. 企业智能化转型对内部劳动力结构转换的影响研究[J]. 中国人力资源开发, 2022, (1): 98-118.
[8] Acemoglu D., Restrepo P.Robots and Jobs: Evidence from US Labor Markets[J]. Journal of Political Economy, 2020, 128(6): 2188-2244.
[9] Dauth W., Findeisen S., Suedekum J., Woessner N.The Adjustment of Labor Markets to Robots[J]. Journal of the European Economic Association, 2021, 19(6): 3104-3153.
[10] 胡晟明, 王林辉, 朱利莹. 工业机器人应用存在人力资本提升效应吗?[J]. 财经研究, 2021, (6): 61-75.
[11] 陈楠, 刘湘丽, 樊围国, 丁微. 人工智能影响就业的多重效应与影响机制:综述与展望[J]. 中国人力资源开发, 2021, (11): 125-139.
[12] Galor O., Moav O.Natural Selection and the Origin of Economic Growth[J]. The Quarterly Journal of Economics, 2002, 117(4): 1133-1191.
[13] Autor D.H. Work of the Past, Work of the Future[J]. AEA Papers and Proceedings, 2019, 109(5): 1-32.
[14] 李诗琪, 刘韵扬. 研发要素流动视角下区域创新差距研究[J]. 江西财经大学学报, 2022, (3): 38-49.
[15] 孙早, 侯玉琳. 人工智能发展对产业全要素生产率的影响—— 一个基于中国制造业的经验研究[J]. 经济学家, 2021, (1): 32-42.
[16] Baron R.M., Kenny D. A. The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations[J]. Journal of Personality and Social Psychology, 1986, 68(12): 2593-2602.
[17] Michaels G., Natraj A., Reenen J.V. Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-five Years[J]. Reviews of Economics and Statistics, 2014, 96(1): 60-77.
[18] 杨飞, 范从来. 产业智能化是否有利于中国益贫式发展?[J]. 经济研究, 2020, (5): 150-165.
[19] 宋旭光, 左马华青. 工业机器人投入、劳动力供给与劳动生产率[J]. 改革, 2019, (9): 45-54.
[20] 董雪兵, 潘登, 池若楠. 工业机器人如何重塑中国就业结构[J]. 经济学动态, 2022, (12): 51-66.
[21] 周昌林, 魏建良. 产业结构水平测度模型与实证分析——以上海、深圳、宁波为例[J]. 上海经济研究, 2007, (6): 15-21.
[22] 蔡晓慧, 茹玉璁. 地方政府基础设施投资会抑制企业技术创新吗?——基于中国制造业企业数据的经验研究[J]. 管理世界, 2016, (11): 32-52.
[23] 吴武林, 罗世华, 刘祥官. 长江经济带包容性绿色发展的测度评价、动态分布与收敛趋势[J]. 江西财经大学学报, 2022, (6): 13-28.