Huijie Zhong

Zhongnan University of Economics and Law

Papers

2

Total Citations

19

H-Index

2

About

Huijie Zhong is an emerging researcher whose work sits at the intersection of technology adoption, automation, and innovation economics, with a particular focus on the Chinese industrial landscape. Zhong's most notable contribution examines the relationship between industrial robots and firm-level innovation, a topic that challenges conventional wisdom derived primarily from developed-country contexts. By leveraging big data methodologies applied to Chinese firm-level data, Zhong addresses a critical gap in the literature, where prior studies had largely relied on national or industry-level aggregates from Western economies. This granular approach offers fresh empirical insights into how imported industrial robots influence innovation outcomes within one of the world's largest manufacturing ecosystems. With nearly 20 citations accumulated across related iterations of this work since 2023, Zhong's research has already attracted meaningful scholarly attention for a recently published body of work. For students and researchers interested in automation's role in developing economies, technological spillovers, or China's industrial transformation, Zhong's contributions offer a timely and methodologically rigorous entry point into understanding how robotics reshapes firm-level competitive dynamics and innovative capacity.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Industrial robots and firm innovation: big data evidence from China
12 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Zhongnan University of Economics and Law

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago