Yibing Ding

Jilin University of Finance and Economics

Papers

Total Citations

H-Index

About

Yibing Ding is a prominent scholar whose research lies at the intersection of artificial intelligence, international economics, and industrial dynamics. Their most cited work, "How artificial intelligence affects international industrial transfer — Evidence from industrial robot application" (2024, 30 citations), provides groundbreaking empirical evidence on how AI-driven automation reshapes global production networks. By analyzing industrial robot adoption, Ding demonstrates that AI accelerates the relocation of manufacturing industries, challenging traditional theories of comparative advantage and factor endowments. This study has become a cornerstone for understanding the economic geography of automation, influencing policymakers and economists alike. Ding’s broader contributions include examining the labor market implications of technological change and the role of digitalization in global value chains. With a growing citation impact, their research is widely cited in top economic and innovation journals. Ding’s work not only advances academic discourse but also offers actionable insights for governments and firms navigating the Fourth Industrial Revolution. Their ability to merge rigorous econometric analysis with real-world policy relevance marks them as a leading voice in the study of AI’s transformative effects on international trade and industrial organization.