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Toward Economic Recovery: Can Industrial Intelligence Improve Total Factor Productivity?

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  • Ningning Ni

    (Nanjing University)

  • Xinya Chen

    (Nanjing Normal University)

  • Yifan Guo

    (Nanjing Normal University)

  • Xing Zhao

    (Nanjing Normal University)

Abstract

Promoting economic recovery is crucial for achieving sustainable economic development. The development of industrial intelligence (INI) plays an important role in economic recovery. Based on the panel data of 30 regions in China from 2007 to 2018, this paper constructs multidimensional indicators and empirically estimates the impact of INI on total factor productivity (TFP). The findings are as follows: (1) INI significantly improves TFP, which is still valid after a series of robustness tests. (2) INI affects TFP through impact mechanisms of knowledge spillover effect (KSP), cost-saving effect (COS), and factor allocation optimization effect (FAL). This paper has offered new research perspectives in the field of INI, contributing to corresponding policy implications and adjustments.

Suggested Citation

  • Ningning Ni & Xinya Chen & Yifan Guo & Xing Zhao, 2025. "Toward Economic Recovery: Can Industrial Intelligence Improve Total Factor Productivity?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 12226-12257, September.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02413-x
    DOI: 10.1007/s13132-024-02413-x
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