Kaijia Yu
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
Top Papers
- 1The effect of industrial robot adoption on firm value: Evidence from China16 citations · 2023