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Industrial robots and firm innovation: big data evidence from China

Author

Listed:
  • Huijie Zhong
  • Xinran Zhang
  • Kam C. Chan
  • Chao Yan

Abstract

Purpose - Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China. Design/methodology/approach - Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation. Findings - The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity. Originality/value - This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.

Suggested Citation

  • Huijie Zhong & Xinran Zhang & Kam C. Chan & Chao Yan, 2023. "Industrial robots and firm innovation: big data evidence from China," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 47(1), pages 100-128, October.
  • Handle: RePEc:eme:jalpps:jal-06-2023-0098
    DOI: 10.1108/JAL-06-2023-0098
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