当代财经 ›› 2022, Vol. 0 ›› Issue (12): 16-26.

• 理论经济 • 上一篇    下一篇

数字化、要素偏向性与行业劳动报酬份额

沈宏亮, 宋思萌, 李杰   

  1. 首都经济贸易大学 经济学院,北京 100070
  • 收稿日期:2022-08-30 修回日期:2022-11-23 出版日期:2022-12-15 发布日期:2023-09-21
  • 通讯作者: 宋思萌,首都经济贸易大学博士研究生,主要从事数字经济研究,联系方式12019203042@cueb.edu.cn。
  • 作者简介:沈宏亮,首都经济贸易大学教授,博士生导师,主要从事产业组织理论与政策、马克思主义政治经济学研究;李杰,首都经济贸易大学博士研究生,主要从事数字经济研究。
  • 基金资助:
    北京市社会科学基金专项课题“发展数字经济、打造具有国际竞争力的数字产业集群研究”(21LLLJC031)

Digitization, Factor Bias and Industry Labor Compensation Share

SHEN Hong-liang, SONG Si-meng, LI Jie   

  1. Capital University of Business and Economics, Beijing 100070, China
  • Received:2022-08-30 Revised:2022-11-23 Online:2022-12-15 Published:2023-09-21

摘要: 伴随着数字化转型加速,数字技术的广泛应用已对劳动力市场产生深远影响。利用中国2000—2018年细分行业面板数据的实证研究表明,数字化正在逐渐弱化技术进步的资本偏向程度,对劳动报酬份额整体上有正向影响,并存在行业异质性。制造业数字化提高了劳动效率,使技术进步偏向资本,导致单位产出的劳动需求减少,对劳动报酬份额有负向影响;服务业数字化提高了资本效率,使技术进步的劳动偏向程度加深,对劳动报酬份额的正向影响增强。从细分行业看,相对于资本、技术密集型制造业,劳动密集型制造业数字化对劳动报酬份额的负向效应更强;数字化对技术密集型服务业劳动报酬份额的正向效应较强,对数据密集型服务业劳动报酬份额的影响为负。

关键词: 数字化, 要素偏向性, 劳动报酬份额, 溢出效应

Abstract: As digital transformation being accelerated, the widespread adoption of digital technologies has exerted a profound impact on the labor market. This paper conducts an empirical study by making use of China’s 2000-2018 sub-industrial panel data. The findings show that digitalization is gradually weakening the capital bias of technological progress, which has a positive impact on the overall share of labor remuneration, and there exists industry heterogeneity. The digitalization of manufacturing industry has improved labor efficiency, making technological progress being in favor of capital, which results in a reduction in labor demand per unitof output, with a negative impact on the share of labor compensation. The digitalization of the service industry has improved capital efficiency, the labor bias of technological progress is deepened and the positive impact on the share of labor remuneration is increased. From the perspective of the subdivided industries, compared with capital- and technology-intensive manufacturing industries, the negative effect of the digitalization of labor-intensive manufacturing industries on the share of labor remuneration is stronger. The positive effect of digitalization on the share of labor remuneration in technology-intensive service industries is stronger, and the impact on data-intensive service industries is negative.

Key words: digitization, factor bias, industry labor compensation share, spillover effect

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