Yiming Yuan

Zhejiang University, Zhejiang University of Finance and Economics

Papers

Total Citations

H-Index

About

Yiming Yuan is an emerging scholar at the intersection of labor economics, artificial intelligence, and corporate innovation. Their research primarily investigates how technological disruption—particularly through AI and industrial robotics—reshapes organizational dynamics and economic inequality. In their highly cited 2024 study, Yuan demonstrates that artificial intelligence adoption is conducive to narrowing firms’ inner wage gaps, a counterintuitive finding that challenges prevailing narratives about technology-driven inequality. Using data from the International Federation of Robotics and China’s A-share listed firms (2011–2019), this work has already garnered 11 citations, signaling its growing influence in the field. Yuan’s subsequent 2025 paper extends this line of inquiry by showing that industrial robot imports significantly improve corporate innovation, employing large language models to address endogeneity concerns. This work represents a methodological innovation, blending causal inference with cutting-edge NLP tools. Though early in their career, Yuan’s research offers vital insights for policymakers and business leaders navigating the complex interplay between automation, wage equity, and innovation—a timely contribution as economies worldwide grapple with the future of work.