The sustainability payoff of AI: Revisiting TFP in corporate and societal performance
Using data on Chinese A-share listed firms and regions from 2011–2023, this paper employs a difference-in-differences (DID) framework to evaluate the productivity returns to artificial intelligence (AI) application from both firm-level and societal perspectives. The findings are as follows: First, AI intensity significantly increases firms' total factor productivity (TFP). Second, AI intensity significantly increases social TFP. Third, green financial innovation exerts a significant positive mediating effect on the pathway from AI intensity to firm TFP. Fourth, green financial innovation also partially mediates the pathway from AI intensity to social TFP. Substantively, the paper links micro-level firm transformation with macro-level regional performance, providing empirical evidence and policy implications for understanding the transmission mechanism from digitalization to greening to high-quality growth. • An increase in AI intensity will significantly improve firm TFP. • An increase in AI intensity will significantly improve social TFP. • AI intensity indirectly promotes firm TFP by enhancing green financial innovation.
Authors
- Zimo Yang (ORCID: https://orcid.org/0000-0002-4792-8231)
- Ziqi Zhong (ORCID: https://orcid.org/0000-0002-3919-9999)
- Jian Wang (ORCID: https://orcid.org/0000-0001-5130-300X)
- Hang Lu
Institutions
- Sogang University (KR)
- University College London (GB)
- London School of Economics and Political Science (GB)
Publication Details
- Journal
- International Review of Financial Analysis
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1016/j.irfa.2025.104891
- Primary Topic
- Energy, Environment, Economic Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00