Shuting Wang
Papers
1
Total Citations
32
H-Index
1
About
Shuting Wang is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, environmental economics, and sustainable development. Drawing primarily on evidence from China's rapidly evolving economy, Wang's research investigates how transformative technologies like artificial intelligence can serve as catalysts for green economic growth, offering fresh perspectives on decoupling industrial expansion from environmental degradation. Her most-cited work, "How Does Artificial Intelligence Impact Green Development? Evidence from China" (2024), has already garnered 32 citations within its first year of publication — a remarkable indicator of its resonance within the academic community. This study challenges conventional assumptions about industrial development by demonstrating AI's potential to reshape production methods in environmentally meaningful ways. Wang's contributions are particularly timely given global urgency around climate policy and sustainable industrialization, making her insights valuable to both policymakers and scholars navigating the green transition. As a researcher whose most influential work is already attracting significant attention despite being recently published, Wang represents a compelling voice in the conversation about technology's role in building a more sustainable economic future.
Research Focus
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Top Papers
- 1