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Can Enterprise Digital Transformation Improve Resource Allocation Efficiency? Evidence From China

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  • Zheng Duan
  • Yifan Zhang

Abstract

Digital transformation provides enterprises with the momentum for development. This study analyses a sample of Chinese listed companies from 2011 to 2021 to construct a digital transformation index and assess the resource allocation efficiency of the cities in which these companies operate. It empirically investigates the impact of digital transformation on resource allocation efficiency, while addressing issues of heterogeneity. The findings are as follows: (1) digital transformation enhances resource allocation efficiency; (2) it influences this efficiency by optimizing the structure of human capital, fostering enterprise innovation, and mitigating information asymmetries; and (3) the positive impact of digital transformation on resource allocation efficiency is more pronounced in regions with lower per capita income and smaller urban populations, as well as among high‐tech, manufacturing, and state‐owned enterprises in these areas. This study contributes to both theoretical and empirical research on resource allocation efficiency and offers a new perspective on digital transformation. It serves as a reference for policymakers in developing relevant digital policies based on regional contexts, provides a foundation for enterprises to expedite their digital transformation efforts, and establishes the groundwork for future research on the role of digital transformation in promoting development in both developed and developing countries.

Suggested Citation

  • Zheng Duan & Yifan Zhang, 2025. "Can Enterprise Digital Transformation Improve Resource Allocation Efficiency? Evidence From China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(4), pages 2688-2704, June.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:4:p:2688-2704
    DOI: 10.1002/mde.4493
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    1. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    2. Ricarda B. Bouncken & Sascha Kraus & Norat Roig-Tierno, 2021. "Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations," Review of Managerial Science, Springer, vol. 15(1), pages 1-14, January.
    3. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    5. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    6. Satish Nambisan, 2017. "Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 41(6), pages 1029-1055, November.
    7. Mauricio Larrain & Sebastian Stumpner, 2017. "Capital Account Liberalization and Aggregate Productivity: The Role of Firm Capital Allocation," Journal of Finance, American Finance Association, vol. 72(4), pages 1825-1858, August.
    8. Ferracuti, Elia & Stubben, Stephen R., 2019. "The role of financial reporting in resolving uncertainty about corporate investment opportunities," Journal of Accounting and Economics, Elsevier, vol. 68(2).
    9. Shiguang Li & Yixiang Tian, 2023. "How Does Digital Transformation Affect Total Factor Productivity: Firm-Level Evidence from China," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    10. Bhattacharya, Nilabhra & Black, Ervin L. & Christensen, Theodore E. & Larson, Chad R., 2003. "Assessing the relative informativeness and permanence of pro forma earnings and GAAP operating earnings," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 285-319, December.
    11. Di Gregorio, Angelo & Maggioni, Isabella & Mauri, Chiara & Mazzucchelli, Alice, 2019. "Employability skills for future marketing professionals," European Management Journal, Elsevier, vol. 37(3), pages 251-258.
    12. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Yi Jin & Bo Liu, 2025. "Industry Concentration and Digital Process Innovation: Evidence from Chinese Rail Transit Firms," Sustainability, MDPI, vol. 17(9), pages 1-15, May.

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