Baohua Yang

Papers

Total Citations

631

H-Index

About

Baohua Yang is a leading scholar at the intersection of artificial intelligence, technological innovation, and industrial economics, with a particular focus on China’s manufacturing sectors. His most-cited work, “Influence of artificial intelligence on technological innovation: Evidence from the panel data of China's manufacturing sectors” (2020, 631 citations), provides groundbreaking empirical evidence on how AI adoption drives innovation across manufacturing industries. This study has become a cornerstone for policymakers and researchers examining the economic impacts of AI in emerging economies. Yang’s research systematically explores the mechanisms through which digital technologies reshape productivity, firm behavior, and industrial structure. His work is distinguished by rigorous panel data analysis and a deep understanding of China’s unique institutional context, offering both theoretical insights and practical implications for technology policy. With over 600 citations on his flagship paper alone, Yang’s contributions have significantly influenced debates on AI-driven growth, industrial upgrading, and the future of manufacturing in the digital age. His scholarship continues to inspire students and researchers working at the nexus of artificial intelligence, innovation studies, and development economics.