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Digital Transformation and Managerial Cost Efficiency: Empirical Evidence from Chinese A‑Share Firms
Authors
Jing Wang1, *, Yong Wen1, Ping Peng1
1Guangdong University of Science and Technology, Dongguan, 523000, China
*Corresponding author.
Email: 798999717@qq.com
Corresponding Author
Jing Wang
Available Online 28 May 2026.
- DOI
- 10.2991/978-94-6239-689-0_28How to use a DOI?
- Keywords
- digital transformation; managerial cost burden; operating efficiency; management expense ratio; total asset turnover; heterogeneity
- Abstract
Using a sample of Chinese A-share listed firms from 2012 to 2024, this study examines whether digital transformation (DT) is associated with lower managerial cost burden. DT is measured from digital-related keyword frequencies in the MD&A sections of annual reports. Firms with stronger DT tend to have a lower management expense ratio, while the relationship is weaker for broader expense measures. Additional tests suggest that total asset turnover is the main channel, and the effect is stronger among non-state-owned firms, firms in eastern China, and manufacturing firms.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.
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Cite this article
TY - CONF AU - Jing Wang AU - Yong Wen AU - Ping Peng PY - 2026 DA - 2026/05/28 TI - Digital Transformation and Managerial Cost Efficiency: Empirical Evidence from Chinese A‑Share Firms BT - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026) PB - Atlantis Press SP - 302 EP - 319 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-689-0_28 DO - 10.2991/978-94-6239-689-0_28 ID - Wang2026 ER -