Impact of industrial robot on labour productivity: Empirical study based on industry panel data

Yantong Zhao, Rusmawati Said, Normaz Wana Ismail, Hanny Zurina Hamzah
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Abstract

This empirical analysis explores the impact of industrial robots on labour productivity using panel data of 17 Chinese industries from 2006 to 2021. The results reveal that the development of industrial robots significantly improves labour productivity; a series of robustness tests validate this outcome. However, the impact of industrial robots on labour productivity varies across industry types. The influence coefficient of the low-density robotics industry is larger than that of the high-density robotics industry. Furthermore, although the scale of industrial robot usage before 2012 was smaller than that after 2012, its effect on labour productivity was more significant. Our findings indicate the possibility of diminishing marginal effect of industrial robots in promoting labour productivity. The mechanism analysis demonstrates that human capital level has a complete intermediating effect between industrial robots and labour productivity. Thus, industrial robot applications can contribute to labour productivity by optimising human capital structure. These findings provide crucial insights for governments and policy makers to improve labour productivity and economic growth.

工业机器人对劳动生产率的影响:基于行业面板数据的实证研究
本实证分析利用 2006 年至 2021 年中国 17 个行业的面板数据,探讨了工业机器人对劳动生产率的影响。结果显示,工业机器人的发展显著提高了劳动生产率;一系列稳健性检验验证了这一结果。然而,工业机器人对不同产业类型劳动生产率的影响是不同的。低密度机器人产业的影响系数大于高密度机器人产业。此外,虽然 2012 年前工业机器人的使用规模小于 2012 年后,但其对劳动生产率的影响却更为显著。我们的研究结果表明,工业机器人在提高劳动生产率方面的边际效应可能递减。机制分析表明,人力资本水平在工业机器人和劳动生产率之间具有完全的中介效应。因此,工业机器人的应用可以通过优化人力资本结构来提高劳动生产率。这些发现为政府和政策制定者提高劳动生产率和经济增长提供了重要启示。
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