Shan Feng
Papers
1
Total Citations
6
H-Index
1
About
Dr. Shan Feng is a leading voice at the intersection of artificial intelligence and environmental economics, with a primary focus on leveraging AI to advance China’s dual carbon goals. Her most-cited work, “Does AI Application Matter in Promoting Carbon Productivity? Fresh Evidence from 30 Provinces in China” (2023), provides groundbreaking empirical evidence that AI adoption significantly enhances carbon productivity across Chinese provinces. This study, already garnering 6 citations, demonstrates how AI-driven industrial transformation can accelerate green development while maintaining economic growth. Dr. Feng’s research is particularly notable for its policy relevance, offering actionable insights for integrating AI into national sustainability strategies. Her work addresses a critical gap in understanding how emerging technologies can be harnessed for environmental progress, making her a key contributor to the dialogue on sustainable innovation. By bridging computer science and ecological economics, Dr. Feng is shaping the future of green industrial policy, with her findings directly informing China’s ambitious carbon neutrality targets. Her scholarship continues to inspire researchers and policymakers alike, positioning her as a vital figure in the global push for AI-enabled environmental stewardship.
Research Focus
Key Achievements
Top Papers
- 1