Policy Uncertainty, Corporate Digitalization, and Firm Performance: Evidence from Listed Manufacturing Firms
- DOI
- 10.2991/978-94-6463-734-2_32How to use a DOI?
- Keywords
- Policy Uncertainty; Digitalization; Firm Performance; Manufacturing Enterprises
- Abstract
Corporate digital transformation is a critical pathway for the reform and upgrading of traditional manufacturing industries and an essential means for firms to address increasingly complex external environments. Using a sample of listed manufacturing firms from China’s Shanghai and Shenzhen A-share markets from 2015 to 2019, this study employs a two-way fixed-effects panel data model to empirically examine the impact of digitalization on firm performance and the moderating role of policy uncertainty. The findings reveal that, digitalization significantly and negatively affects firm performance. Moreover, policy uncertainty exacerbates the adverse impact of digitalization on firm performance, with this effect being significant only in non-state-owned enterprises, while no significant impact is observed in state-owned enterprises. This study provides empirical evidence to the ongoing discourse on the “digitalization paradox.”
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - Zhuoyun Zhang PY - 2025 DA - 2025/05/27 TI - Policy Uncertainty, Corporate Digitalization, and Firm Performance: Evidence from Listed Manufacturing Firms BT - Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025) PB - Atlantis Press SP - 265 EP - 271 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-734-2_32 DO - 10.2991/978-94-6463-734-2_32 ID - Zhang2025 ER -