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The Impact of Digital Supply Chain Management on Enterprise Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China

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  • Jingyang Yan

    (School of Economics and Management, Central South University of Forestry & Technology, Changsha 410004, China)

  • Chao Gao

    (Department of Public Administration, School of Humanities, Chang’an University, Xi’an 710061, China
    School of Engineering and Design, Technical University of Munich, 80333 Munich, Germany
    Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education, Xi’an 710064, China)

  • Yinan Tan

    (Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education, Xi’an 710064, China
    College of Transportation Engineering, Chang’an University, Xi’an 710064, China)

  • Zhimin Du

    (Department of Public Administration, School of Humanities, Chang’an University, Xi’an 710061, China)

Abstract

Digital supply chain management (DSCM) has emerged as a critical driver of enterprise performance in the modern economy, yet empirical evidence on its causal impact on productivity remains limited. This study examines how DSCM adoption affects total factor productivity (TFP) by leveraging China’s supply chain innovation pilot program as a quasi-natural experiment. Using a difference-in-differences approach with propensity score matching, the analysis employs a comprehensive dataset of 2843 Chinese A-share listed companies from 2013 to 2022; the analysis reveals that DSCM adoption leads to an average TFP increase of 14.1%. This positive effect strengthens over time, demonstrating a clear dynamic of organizational learning. Mediation analysis indicates that this productivity enhancement operates through two primary channels: innovation capability enhancement (accounting for approximately 35% of the total effect) and cost efficiency improvement (21%). Crucially, heterogeneity analysis reveals that the positive effects of DSCM are significantly more pronounced in supply-chain-intensive industries, such as manufacturing, and for firms with higher R&D intensity. The findings provide robust causal evidence on the productivity effects of DSCM, offering valuable insights into its underlying mechanisms and key boundary conditions for both enterprise strategy and digital transformation policy.

Suggested Citation

  • Jingyang Yan & Chao Gao & Yinan Tan & Zhimin Du, 2025. "The Impact of Digital Supply Chain Management on Enterprise Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 17(17), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7813-:d:1737780
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    References listed on IDEAS

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