Kaijia Yu

Northeastern University

Papers

1

Total Citations

16

H-Index

1

About

Kaijia Yu is a rising scholar in the fields of corporate finance, industrial organization, and the economics of automation, with a particular focus on the Chinese market. Her most-cited work, "The effect of industrial robot adoption on firm value: Evidence from China" (2023, 16 citations), provides a pioneering empirical analysis of how automation technologies reshape firm-level financial outcomes. By leveraging firm-level data from China, Yu demonstrates that robot adoption can significantly enhance firm value, offering critical insights into the strategic implications of Industry 4.0 for emerging economies. This research bridges the gap between technological adoption and corporate performance, informing both managerial decision-making and policy design. Yu’s work is notable for its rigorous causal methodology and its timely relevance to global debates on automation and labor markets. As an early-career researcher, her contributions are already shaping how scholars and practitioners understand the financial returns of automation in a rapidly industrializing context. Her findings underscore the transformative potential of robotics for firm competitiveness, making her a key voice in the dialogue on technology-driven economic growth.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
The effect of industrial robot adoption on firm value: Evidence from China
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago