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Artificial intelligence, green transition and green total factor productivity in enterprises
1School of Economics and Management, Fuzhou University, Fujian, Fuzhou, 350108, China. 15188360315@126.com.
Scientific Reports
|September 26, 2025
Summary
Artificial intelligence (AI) significantly boosts enterprise green total factor productivity (GTFP) through green transformation. Specific AI technologies like computer vision and machine learning show positive impacts, unlike logic-based AI.
Area of Science:
- Environmental Economics
- Technology Management
- Artificial Intelligence Applications
Background:
- Growing integration of artificial intelligence (AI) in business operations.
- Increasing focus on enterprise green total factor productivity (GTFP) and sustainable development.
- Need to understand the nuanced relationship between AI adoption and environmental performance.
Purpose of the Study:
- To empirically analyze the impact of AI on GTFP in Chinese enterprises.
- To identify the mechanisms through which AI influences GTFP.
- To explore heterogeneity in AI's impact across AI types, regions, and firm characteristics.
Main Methods:
- Empirical analysis of Chinese enterprise data from 2007-2022.
- Decomposition of GTFP into green technical efficiency and green technological progress.
- Comparative analysis of different AI technologies (computer vision, machine learning, logic-based AI).
Main Results:
- AI development significantly enhances GTFP, with enterprise green transformation as a key mediator.
- AI improves both green technical efficiency and green technological progress.
- Computer vision and machine learning positively impact GTFP, while logic-based AI shows no significant effect.
- AI's positive effect is more pronounced in western China and varies by firm intensity (labor, technology, capital).
Conclusions:
- AI is a significant driver for improving enterprise GTFP.
- Targeted adoption of specific AI technologies (e.g., computer vision, machine learning) can enhance green productivity.
- Policy interventions should consider regional and firm-specific characteristics to maximize AI's green benefits.
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