Caiquan Bai
Papers
1
Total Citations
40
H-Index
1
About
Caiquan Bai is an emerging scholar whose research lies at the intersection of artificial intelligence, corporate governance, and environmental sustainability. In a groundbreaking 2024 study, Bai provided the first empirical evidence that AI adoption—specifically industrial robot use—can significantly suppress firms' greenwashing behavior in China. This work, already garnering 40 citations, demonstrates how technological automation creates transparency pressures that reduce the gap between firms' environmental claims and actual practices. By linking robot penetration to more honest corporate environmental reporting, Bai's research offers crucial insights for policymakers seeking to leverage AI for authentic sustainability. The study's rapid citation growth reflects its timely relevance as regulators worldwide grapple with greenwashing in the age of Industry 4.0. Bai's contribution positions them as a key voice in understanding how emerging technologies can both challenge and improve corporate environmental accountability, with implications for sustainable development strategies in rapidly industrializing economies.
Research Focus
Key Achievements
Top Papers
- 1