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Information and communication technology and innovation performance of firms: Evidence from Chinese listed state-owned enterprises

Author

Listed:
  • He, Bin
  • Chen, Haiyang
  • Li, Zheng
  • Zhou, Xizhen

Abstract

This study examines whether information and communication technology (ICT) improves innovation performance among Chinese state-owned enterprises (SOEs). Generalized difference-in-differences, panel data regression models, and firm-level data from 2011 to 2018 were used to generate statistically significant results, indicating that publicly traded Chinese SOEs increase innovation performance through ICT adoption. Additionally, we analyze the robustness using a three-dimensional panel data model and employ two-stage least squares estimation to remedy the possible bias generated by endogeneity problems. The results of these tests were consistent with the main findings reported above. Additionally, the existing literature suggests that ICT affects innovation by increasing the openness of information sharing and cooperation, improving efficiency, and enhancing human resource management and corporate governance. We provide evidence of the underlying mechanisms between ICT and innovation among Chinese SOEs.

Suggested Citation

  • He, Bin & Chen, Haiyang & Li, Zheng & Zhou, Xizhen, 2023. "Information and communication technology and innovation performance of firms: Evidence from Chinese listed state-owned enterprises," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 47-59.
    • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:47-59
    DOI: 10.1016/j.iref.2023.06.007
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    References listed on IDEAS

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    2. Li, Zheng & Wang, Yixuan & Li, Haitong & Dai, Pengyi, 2025. "ICT innovation, information environment and stock price crash risk: Evidence from patent data," International Review of Economics & Finance, Elsevier, vol. 103(C).
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    5. Ma, Jinghao & Shang, Yujie & Liang, Zhenghan, 2025. "Digital transformation, artificial intelligence and enterprise innovation performance," Finance Research Letters, Elsevier, vol. 78(C).

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • P30 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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