Artificial intelligence and intra-firm pay dispersion: Evidence from China

IF 5.2 1区经济学 Q1 ECONOMICS

中国经济评论 Pub Date : 2025-07-12 DOI:10.1016/j.chieco.2025.102501

Tingyu Liu , Peng Huang , Qiaoru Wang

引用次数: 0

Abstract

This paper examines the impact of AI on intra-firm pay dispersion using a patent database and a micro-database of Chinese A-share listed companies from 2003 to 2021. The results indicate AI adoption reduce intra-firm pay dispersion, primarily through its suppression effect on executive compensation. This effect is particularly pronounced in firms characterized by capital-intensive operations, non-state ownership, and coastal locations. While organizational scale expansion partially offsets‌ AI's role in narrowing pay dispersion, ‌task-based decomposition reveals‌ AI exacerbates wage polarization‌ by ‌disproportionately reduces wage of labors specializing in routine tasks. Additionally, industry-level analysis confirms‌ that AI amplifies wage inequality both within and across sectors.

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人工智能与企业内部薪酬差异：来自中国的证据

本文利用2003 - 2021年中国a股上市公司的专利数据库和微观数据库，考察了人工智能对企业内部薪酬分散的影响。研究结果表明，人工智能的采用减少了企业内部的薪酬分散，主要是通过其对高管薪酬的抑制作用。这种影响在以资本密集型经营、非国有所有制和沿海地区为特征的公司中尤为明显。虽然组织规模扩张在一定程度上抵消了人工智能在缩小薪酬差距方面的作用，但基于任务的分解表明，人工智能加剧了工资两极分化，因为它不成比例地降低了从事日常工作的劳动者的工资。此外，行业层面的分析证实，人工智能加剧了行业内部和行业之间的工资不平等。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

中国经济评论 ECONOMICS-

CiteScore

10.60

自引率

4.40%

发文量

380

期刊介绍： The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.