Corporate AI Attention and Green Total Factor Productivity: Evidence from Chinese A-Share Listed Firms

DOI

10.2991/978-94-6239-758-3_55How to use a DOI?

Keywords

Artificial Intelligence Attention; Green Total Factor Productivity; Text Analysis; Listed Firms; Digital Transformation

Abstract

This paper examines whether corporate artificial intelligence (AI) attention is associated with green total factor productivity (GTFP) using panel data from Chinese A-share listed firms from 2007 to 2024. AI attention is measured by the frequency of AI-related keywords in the Management Discussion and Analysis sections of annual reports, while GTFP is obtained from a listed-company green productivity database constructed under environmental constraints. The empirical analysis employs two-way fixed-effects models, robustness checks, heterogeneity analysis, mechanism tests and double machine learning estimation. The results show that AI attention has a positive but statistically weak relationship with GTFP under strict fixed-effects specifications. Further analysis indicates that AI attention significantly increases R&D intensity, and R&D intensity is positively associated with GTFP, suggesting that innovation input is an important channel through which AI-related strategic attention may support green productivity improvement. However, the high-education talent channel is not supported. Heterogeneity tests suggest that the effect is more evident among non-state-owned firms. Overall, the findings indicate that AI attention alone does not automatically lead to green productivity gains; its value depends on whether firms transform AI-related awareness into concrete innovation investment and organisational capability.

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.

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TY  - CONF
AU  - Jinfang Miao
AU  - Mingrui Ma
AU  - Jing Wang
PY  - 2026
DA  - 2026/09/08
TI  - Corporate AI Attention and Green Total Factor Productivity: Evidence from Chinese A-Share Listed Firms
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 558
EP  - 576
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_55
DO  - 10.2991/978-94-6239-758-3_55
ID  - Miao2026
ER  -