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Does digital transformation enhance the economic vitality of Chinese enterprises?: evidence from A-share listed companies

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posted on 2025-08-22, 07:38 authored by Yue Liu, Roy LiRoy Li, Roxy DuanRoxy Duan, Peng LiuPeng Liu
With the rapid development of China's digital economy, accelerating digital transformation has become a critical pathway for enterprises to achieve high-quality growth. We identify the digital transformation of enterprises using data mining techniques, leveraging data from the Chinese A-shares market between 2009 and 2019. Both theoretical and empirical perspectives are employed to explain and test the impact of digital transformation on corporate economic vitality and its underlying mechanisms. The findings reveal that digital transformation significantly enhances corporate economic vitality, and this conclusion remains robust after various endogeneity and robustness checks. Mediation analysis indicates that digital transformation primarily boosts corporate economic vitality by reducing transaction costs, improving total factor productivity, and alleviating financing constraints. Heterogeneity analysis based on macroeconomic environments and firm-specific characteristics shows that digital transformation has a stronger effect on promoting economic vitality in regions with higher levels of digital economic development and lower degrees of market segmentation, particularly in capital-intensive state-owned enterprises. The effectiveness of digital transformation is also influenced by corporate governance, with firms benefiting from higher board network centrality and top executives with overseas or financial backgrounds. This study provides valuable insights for enterprises and governments in making decisions regarding digital transformation.<p></p>

Funding

National Social Science Fund of China (21BJY157)

Key fund projects in the Anhui University of Finance and Economics (acjyzd2021021)

Graduate Project in the Anhui University of Finance and Economics (cxjhjyyb1911)

History

School

  • Science

Published in

Future Business Journal

Volume

11

Issue

1

Publisher

SpringerOpen

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acceptance date

2025-07-07

Publication date

2025-07-21

Copyright date

2025

ISSN

2314-7202

eISSN

2314-7210

Language

  • en

Depositor

Dr Peng Liu. Deposit date: 13 July 2025

Article number

168

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