Keying Hu

Xiamen University

Papers

1

Total Citations

4

H-Index

1

About

Keying Hu is an emerging scholar at the intersection of labor economics and technological change, with a primary focus on how automation reshapes employment patterns. In her influential 2023 paper, *“Robot Imports and Employment Location Choice,”* Hu investigates the nuanced effects of industrial robot adoption on workers’ geographic mobility and job decisions. By framing robots as the “pearl at the top of the manufacturing industry,” she offers a fresh perspective on how automation not only displaces jobs but also influences where workers choose to live and work. Although early in her career—with her most-cited work currently holding 4 citations—Hu’s research addresses a critical gap in understanding the spatial consequences of technological disruption. Her work contributes to ongoing debates about the future of work, regional inequality, and labor market adaptability. As automation continues to accelerate globally, Hu’s findings provide valuable insights for policymakers and economists seeking to mitigate the adverse effects of robotization on vulnerable communities. Her research promises to grow in relevance as the intersection of trade, technology, and labor markets becomes ever more central to economic discourse.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robot Imports and Employment Location Choice
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Xiamen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago