Xiaoyi Li
Papers
1
Total Citations
18
H-Index
1
About
Xiaoyi Li is a leading researcher at the intersection of artificial intelligence, environmental economics, and sustainable manufacturing. Her work investigates how technological adoption—particularly industrial robotics and AI—can drive corporate decarbonization and green transformation. In her highly cited 2023 study, "How Does Usage of Robot Affect Corporate Carbon Emissions?—Evidence from China’s Manufacturing Sector," Li provides groundbreaking empirical evidence that robot usage significantly reduces carbon emissions in Chinese manufacturing firms. This paper, with 18 citations, has become a foundational reference for scholars examining the environmental co-benefits of automation. Li’s research uniquely bridges the gap between Industry 4.0 technologies and climate policy, demonstrating that intelligent manufacturing is not only a productivity driver but also a key lever for achieving China’s carbon neutrality goals. Her work has been influential in shaping both academic discourse and policy discussions on green industrial transformation. Li continues to explore how emerging technologies can be leveraged for sustainable development, making her a vital voice in the global conversation on technology-driven environmental solutions.
Research Focus
Key Achievements
Top Papers
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