Study on the Influence Mechanism of Digital Intellectualization on Accrual Surplus Management in Enterprises with Different Ownership Properties
For a long time, information asymmetry has become a deep-rooted problem in modern enterprise management. It not only distorts market behavior, but also harms the value of the enterprise itself. With the rapid development of digital technology, enterprises have unprecedented opportunities to change financial information processing and disclosure, and digital technology such as big data and artificial intelligence is expected to alleviate the information asymmetry problem. In this study, we focus on the impact of digital intelligence on accruals management in firms with different ownership properties, and conduct an empirical analysis using panel data of Chinese A-share listed firms from 2012 to 2022. It is found that, firstly, Numerical Intelligence significantly inhibits firms' surplus management; secondly, with the addition of the moderating variable of property rights nature, Numerical Intelligence has a more significant inhibitory effect on firms' incentives to manage surplus; thirdly, heterogeneity analyses conclude that Numerical Intelligence's inhibitory effect on firms' surplus management is more pronounced in non-state-owned firms. Based on this, this study suggests that in order to further alleviate the problem of corporate information asymmetry, it is necessary to further deepen the level of enterprise's own Numerical Intelligence, improve the supervision of Numerical Intelligence, construct differentiated regulatory policies, and safeguard the rights and interests of the relevant stakeholders of the enterprise, so as to further optimize the synergistic development of corporate governance.
Authors
- Yong Hou
- Yunshi Mao (ORCID: https://orcid.org/0000-0002-9446-7925)
- Yulin Fang (ORCID: https://orcid.org/0000-0002-7595-5261)
- Yi Xu (ORCID: https://orcid.org/0000-0002-3503-3086)
- Caixia Deng
Institutions
- South China Normal University (CN)
Publication Details
- Journal
- Risk and Financial Management
- Published
- 2025-04-20
- DOI
- https://doi.org/10.30560/rfm.v6n1p30
- Primary Topic
- Economic and Technological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00