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

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

Innovation and Green Development, 2024, vol. 3, issue 2

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.

Keywords: China sectors; Industry level; Industrial robots; Labour productivity (search for similar items in EconPapers)
JEL-codes: J24 O33 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ingrde:v:3:y:2024:i:2:s2949753124000250

DOI: 10.1016/j.igd.2024.100148

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