Gaoju Yang

Papers

Total Citations

H-Index

About

Gaoju Yang is a rising scholar at the intersection of international trade, innovation economics, and applied artificial intelligence. His research primarily investigates how technological adoption—particularly industrial robotics—reshapes firm-level innovation and productivity. In his landmark 2025 study, "Industrial Robot Imports and Firm Innovation: A Large Language Model," Yang demonstrates that importing robots significantly enhances corporate innovation outcomes, a finding that holds even after rigorous endogeneity controls and robustness checks. This work bridges the gap between automation economics and cutting-edge NLP methods, offering fresh empirical evidence on how foreign technology diffusion drives domestic inventive activity. Although early in his career, Yang’s contributions are already shaping policy debates on trade liberalization and industrial automation. His innovative use of large language models to analyze patent and trade data marks him as a methodological pioneer. With his work gaining traction among economists and innovation scholars, Gaoju Yang is a researcher to watch for those interested in the data-driven future of trade and technology policy.