AI-driven capital-skill complementarity: Implications for skill premiums and labor mobility

被引：1
|
作者：
Wang, Shuo [1 ]
Wang, Yuzhang [2 ]
Li, Chengyou [3 ]
机构：
[1] Shandong Univ Finance & Econ, Sch Accountancy, Jinan 250014, Peoples R China
[2] Shandong Univ, Ctr Econ Res, Jinan 250100, Peoples R China
[3] Shandong Univ Finance & Econ, Sch Finance, Jinan 250014, Peoples R China
来源：
FINANCE RESEARCH LETTERS | 2024年 / 68卷
基金：
中国国家社会科学基金;
关键词：
Artificial intelligence; Capital-skill complementarity; Skill premiums; Structural change; TECHNOLOGY;
D O I：
10.1016/j.frl.2024.106044
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
To explain the newly discovered coevolution of capital and labor structures, this study presents a modified capital-skill complementarity hypothesis within the framework of structural transformation. We propose that artificial intelligence (AI) and skilled labor exhibit relative complementarity. Specifically, advancements in AI services or AI-enhanced technologies incentivize the mobilization of skilled labor across different industry sectors. The direction of this labor movement is contingent upon variations across industry sectors, including AI output elasticity and the substitutability between AI and conventional production methods. This structural transformation process also induces fluctuations in skill premiums.
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