Can Government Digital Incentives Enhance Enterprise Artificial Intelligence Capability? Empirical Evidence from Chinese A-share Listed Enterprises

This article investigates whether and how government digital incentives enhance enterprise AI capability (AIC) using empirical evidence from Chinese A-share listed enterprises during 2011–2024. By constructing comprehensive indicators to measure enterprise AIC, we explore the impact of subsidy-based (SDI) and policy-based digital incentive (PDI) on enterprise AIC and their underlying mechanisms. The findings reveal that: (a) Both SDI and PDI enhance enterprise AIC, with results remaining robust after robustness tests. (b) SDI positively influence enterprise AIC by alleviating financing constraints (FC), while PDI exert positive effects through optimising resource allocation efficiency. (c) Executive IT background positively moderates the relationship between both types of digital incentives and enterprise AIC. (d) Heterogeneity analysis demonstrates that SDI have significantly stronger effects on enterprise AIC in eastern regions compared to western and central regions, whereas PDI show more pronounced positive effects in central regions compared to eastern and western regions. SDI exert markedly stronger effects in high-tech industries than in non-high-tech industries, while PDI demonstrate greater positive impacts in non-high-tech industries compared to high-tech industries. Compared to non-state-owned enterprises (SOEs), SDI have more significant positive effects on AIC in SOEs, whereas PDI exhibit stronger positive effects on AI capabilities in non-SOEs.

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Publication Details

Journal
Science Technology and Society
Published
2026-03-16
DOI
https://doi.org/10.1177/09717218261427081
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
0.00
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article

Can Government Digital Incentives Enhance Enterprise Artificial Intelligence Capability? Empirical Evidence from Chinese A-share Listed Enterprises

Z. Y. Li, Jingmei Ma, kaixin deng, Jie Wu
Science Technology and Society
Innovation Policy and R&D
article

Can Government Digital Incentives Enhance Enterprise Artificial Intelligence Capability? Empirical Evidence from Chinese A-share Listed Enterprises

Z. Y. Li, Jingmei Ma, kaixin deng, Jie Wu
article en

Abstract

This article investigates whether and how government digital incentives enhance enterprise AI capability (AIC) using empirical evidence from Chinese A-share listed enterprises during 2011–2024. By constructing comprehensive indicators to measure enterprise AIC, we explore the impact of subsidy-based (SDI) and policy-based digital incentive (PDI) on enterprise AIC and their underlying mechanisms. The findings reveal that: (a) Both SDI and PDI enhance enterprise AIC, with results remaining robust after robustness tests. (b) SDI positively influence enterprise AIC by alleviating financing constraints (FC), while PDI exert positive effects through optimising resource allocation efficiency. (c) Executive IT background positively moderates the relationship between both types of digital incentives and enterprise AIC. (d) Heterogeneity analysis demonstrates that SDI have significantly stronger effects on enterprise AIC in eastern regions compared to western and central regions, whereas PDI show more pronounced positive effects in central regions compared to eastern and western regions. SDI exert markedly stronger effects in high-tech industries than in non-high-tech industries, while PDI demonstrate greater positive impacts in non-high-tech industries compared to high-tech industries. Compared to non-state-owned enterprises (SOEs), SDI have more significant positive effects on AIC in SOEs, whereas PDI exhibit stronger positive effects on AI capabilities in non-SOEs.

Science Technology and Society
Harbin University of Science and Technology (CN), Harbin University (CN)
Decent work and economic growth
Openalex Percentile: Top 24%
Innovation Policy and R&D
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