Papers

4

Total Citations

93

H-Index

3

About

Keqi Huang is a prominent economist specializing in the intersections of automation, artificial intelligence, and labor market dynamics, with a particular focus on the Chinese economy. His research has made significant contributions to our understanding of how emerging technologies reshape employment structures and firm-level decision-making in developing contexts. Huang's most influential work, "Robots and skill-biased development in employment structure: Evidence from China" (2021, 56 citations), demonstrated how robotic adoption drives shifts in labor demand, accelerating skill-biased technological change within China's rapidly evolving economy. Building on this foundation, his subsequent research explores which types of firms derive the greatest competitive advantages from robot adoption, offering nuanced firm-level insights that have garnered 22 citations since 2023. His more recent investigations have expanded into artificial intelligence's role in shaping outward foreign direct investment patterns, reflecting his forward-looking research agenda. Particularly notable is Huang's innovative exploration of the relationship between higher education expansion and robot imports, revealing how human capital accumulation and automation technologies interact in complementary ways. Collectively, his work provides invaluable empirical guidance for policymakers navigating the complex trade-offs between technological adoption, workforce development, and economic competitiveness.

Research Focus

Key Achievements

3
H-Index
4
Papers
93
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Robots and skill-biased development in employment structure: Evidence from China
56 citations · 2021
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chinese University of Hong Kong, Xi'an University of Finance and Economics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago