Urban Artificial Intelligence Development Effects on Sustainable Information Disclosure of Firms: Evidence from A-Share Listed Firms
- DOI
- 10.2991/978-2-38476-551-5_68How to use a DOI?
- Keywords
- Artificial intelligence; Sustainability information; Firm disclosure; Institutional environment
- Abstract
Amid China’s “dual-carbon” strategy and rising stakeholder demand for non-financial transparency, many firms - especially SMEs - face high costs and capability gaps in sustainability reporting. Leveraging a panel of A-share listed firms from 2015–2024 matched with city-level indicators for artificial intelligence (AI) development, this paper examines whether municipal AI expansion fosters firm-level sustainability disclosure. Results show that stronger city-level AI development significantly increases the likelihood and persistence of sustainability disclosure. The effect is concentrated among state-owned enterprises (SOEs), consistent with their superior access to policy resources and external information spillovers. The findings offer theoretical and practical implications for using AI to reduce reporting frictions, manage unstructured data, and improve ESG transparency.
- 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.
Cite this article
TY - CONF AU - Xilinan Wu AU - Guochao Wan PY - 2026 DA - 2026/03/26 TI - Urban Artificial Intelligence Development Effects on Sustainable Information Disclosure of Firms: Evidence from A-Share Listed Firms BT - Proceeding of 2025 8th International Conference on Humanities Education and Social Sciences (ICHESS 2025) PB - Atlantis Press SP - 644 EP - 650 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-551-5_68 DO - 10.2991/978-2-38476-551-5_68 ID - Wu2026 ER -