Digital transformation policy and production efficiency in state-owned electric power enterprises: Evidence from China

Digital transformation is increasingly used to modernize public utilities, but its efficiency effects remain insufficiently understood. This study examines the effect of China's 2020 digital transformation policy for state-owned enterprises on the production efficiency of listed electric enterprises. Treating the policy as a quasi-natural experiment, we employ a super-efficiency data envelopment analysis model to measure production efficiency and a difference-in-differences model to examine the policy effect. The results show that the policy significantly improves the production efficiency of state-owned electric enterprises relative to non-state-owned enterprises. Heterogeneity analysis shows stronger effects among utilities in eastern China, labor-intensive firms, and large firms. Mechanism analysis further shows that increased R&D investment is an important channel through which the policy generates efficiency gains, while managerial equity incentives strengthen policy effectiveness. The findings provide policy implications for utility digitalization, differentiated policy support, innovation incentives, and governance reform.

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Publication Details

Journal
Utilities Policy
Published
2026-09-15
DOI
https://doi.org/10.1016/j.jup.2026.102347
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Digital transformation policy and production efficiency in state-owned electric power enterprises: Evidence from China

Yingshan Sun, Jingya Cao, Rui Zhang, Yuhe Wang et al.
Utilities Policy
Efficiency Analysis Using DEA
article

Digital transformation policy and production efficiency in state-owned electric power enterprises: Evidence from China

Yingshan Sun, Jingya Cao, Rui Zhang, Yuhe Wang, Dongxue Li, Yingzhe Xing, J. F. He, Xiaoyi Zhang
article en

Abstract

Digital transformation is increasingly used to modernize public utilities, but its efficiency effects remain insufficiently understood. This study examines the effect of China's 2020 digital transformation policy for state-owned enterprises on the production efficiency of listed electric enterprises. Treating the policy as a quasi-natural experiment, we employ a super-efficiency data envelopment analysis model to measure production efficiency and a difference-in-differences model to examine the policy effect. The results show that the policy significantly improves the production efficiency of state-owned electric enterprises relative to non-state-owned enterprises. Heterogeneity analysis shows stronger effects among utilities in eastern China, labor-intensive firms, and large firms. Mechanism analysis further shows that increased R&D investment is an important channel through which the policy generates efficiency gains, while managerial equity incentives strengthen policy effectiveness. The findings provide policy implications for utility digitalization, differentiated policy support, innovation incentives, and governance reform.

Utilities PolicyVol. 104
Beijing Institute of Technology (CN), China University of Mining and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Efficiency Analysis Using DEA
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Digital transformation policy and production efficiency in state-owned electric power enterprises: Evidence from China — Yingshan Sun, Jingya Cao, et al. · Utilities Policy (2026) | TGRS Research Map | TGRS