Qingen Gai

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About

Qingen Gai is a rising scholar whose research explores the intersection of labor economics, technological change, and migration, with a particular focus on China’s evolving workforce. His most-cited work, "Robots, routine jobs, and rural migrant workers: evidence from China" (2025), has already garnered 3 citations, signaling early impact in a critical policy area. Gai’s research investigates how automation and the adoption of industrial robots reshape labor markets, specifically affecting rural-to-urban migrant workers who are often concentrated in routine, low-skill jobs. By providing empirical evidence from China—the world’s largest robot market—he illuminates the nuanced ways in which technological displacement interacts with migration patterns, job polarization, and income inequality. His contributions are vital for understanding the socioeconomic consequences of automation in developing economies, offering insights for policymakers seeking to mitigate job losses and support displaced workers. Gai’s work bridges the gap between labor economics and development studies, making him a key voice in debates on the future of work. With a focus on vulnerable populations, his research not only advances academic discourse but also informs practical strategies for inclusive growth in an era of rapid technological change.