Yaya Li
Papers
5
Total Citations
890
H-Index
5
About
Yaya Li is a leading researcher at the intersection of industrial automation and environmental sustainability, whose work has fundamentally reshaped our understanding of how robotics can drive green innovation. Li’s primary research areas include the environmental impacts of industrial robot adoption, green technology innovation in manufacturing, and the complex global trade networks of automation technologies. Her most significant contribution lies in empirically demonstrating that industrial robot application is a powerful driver for reducing carbon emissions and energy intensity across the manufacturing sector. Her landmark 2022 study, cited over 340 times, was the first to systematically prove that robot adoption promotes green technology innovation, while her 2021 analysis of 38 countries—with nearly 300 citations—showed a clear link between automation and decreased manufacturing energy intensity. Li’s work on the carbon emission reduction effects of industrial robots, also garnering over 230 citations, revealed crucial heterogeneity in how different industries and regions benefit from automation. Her earlier complex network analysis of global industrial robot trade established her as a pioneer in understanding the structural dynamics of automation diffusion. Through rigorous empirical analysis, Li has provided policymakers and industry leaders with compelling evidence that the path to sustainable manufacturing runs through intelligent automation.
Research Focus
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