Shengming Hu

Papers

Total Citations

H-Index

About

Shengming Hu is a rising scholar in labor economics and technological change, whose research explores how automation reshapes labor markets and human capital. His most cited work, “Does robotization improve the skill structure? The role of job displacement and structural transformation” (2023, 22 citations), provides crucial empirical evidence from developing countries—a gap in the literature—by developing a task-based model to show how industrial robots alter skill composition through job displacement and structural transformation. In a related paper, “Does the Application of Industrial Robots Have the Effect of Improving Human Capital” (2021), Hu investigates whether robot adoption spurs investment in education and training, offering early insights into the feedback loop between automation and skill development. While his citation counts are still building, Hu’s focus on the mechanisms behind robotization’s impact on skill structure and human capital distinguishes his work, particularly for its attention to developing economies. His research is notable for bridging theoretical models with policy-relevant findings, making him a key voice in understanding how technological change can either widen or narrow skill gaps, with implications for education and labor policy in rapidly automating economies.