Yiqing Feng

Papers

Total Citations

H-Index

About

Yiqing Feng is a researcher at the forefront of integrating economic governance with cutting-edge artificial intelligence technologies. Her work primarily explores the intersection of institutional economics and AI, with a particular focus on how hard budget constraints shape and are shaped by technological innovation. In her most cited paper, "Hard budget constraints and artificial intelligence technology" (2022), Feng provides a rigorous analysis of how fiscal discipline interacts with AI adoption, offering novel insights into the mechanisms that drive efficient resource allocation in tech-driven economies. This work has garnered 22 citations, establishing her as a rising voice in the field. Feng’s contributions are notable for bridging the gap between traditional economic theory and modern computational systems, making her research highly relevant for policymakers and technologists alike. Her scholarship is characterized by a clear, analytical style that demystifies complex interactions, and she is recognized for advancing the conversation on sustainable technological growth. For students and researchers, Feng’s work offers a compelling framework for understanding the economic underpinnings of AI deployment.