Ming Zeng
Papers
1
Total Citations
97
H-Index
1
About
Ming Zeng is an emerging scholar whose research sits at the dynamic intersection of artificial intelligence, energy economics, and sustainable development, with a particular focus on the Chinese economic context. His most notable work, "Is Artificial Intelligence a Curse or a Blessing for Enterprise Energy Intensity? Evidence from China" (2024), has already garnered an impressive 97 citations in a remarkably short time, signaling the urgent relevance of his scholarly contributions to both academic and policy communities. In this landmark study, Zeng critically interrogates the dual-edged nature of AI adoption within enterprises, examining whether technological advancement serves as a driver of energy efficiency or inadvertently intensifies energy consumption — a question with profound implications for China's carbon neutrality ambitions and global climate commitments. His empirical approach, grounded in Chinese enterprise data, provides nuanced insights that bridge theoretical economics and real-world industrial policy. Zeng's rapid citation trajectory suggests a researcher whose work resonates deeply with scholars navigating the complex relationship between digital transformation, corporate sustainability, and energy governance in one of the world's largest economies.
Research Focus
Key Achievements
Top Papers
- 1