Xinlei Gao
Papers
1
Total Citations
3
H-Index
1
About
Xinlei Gao is a researcher whose work sits at the critical intersection of automation, labor economics, and industrial policy. Her primary research area examines how the rapid adoption of industrial robots is reshaping labor markets, with a particular focus on China’s manufacturing sector. In her most cited work, "Effect of industrial robot use on China's labor market: Evidence from manufacturing industry segmentation" (2023), Gao provides a granular empirical analysis of how robotization affects employment across 13 distinct manufacturing segments from 2006 to 2016. Her key contribution is demonstrating a clear displacement effect: as robot use increases, labor demand in manufacturing declines. This finding offers vital evidence for policymakers and economists grappling with the societal costs of automation. Though her citation count is still growing, Gao’s research is notable for its timely, data-driven approach to one of the most pressing questions of the modern economy—how technological progress can coexist with stable employment. Her work is essential reading for anyone interested in the future of work, labor economics, and the socioeconomic implications of Industry 4.0.
Research Focus
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Top Papers
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