Zhengguang Liu

University of Manchester

Papers

1

Total Citations

78

H-Index

1

About

Zhengguang Liu is a leading researcher at the intersection of artificial intelligence, environmental economics, and sustainable development. His work critically examines how technological adoption—particularly industrial robotics—reshapes economic and environmental landscapes. In his highly influential 2024 study, "Artificial intelligence and carbon emissions inequality: Evidence from industrial robot application," Liu provides groundbreaking empirical evidence that AI-driven automation not only affects aggregate carbon emissions but also exacerbates disparities in emissions distribution across regions and industries. This paper, already garnering 78 citations, has become a cornerstone for policymakers and scholars seeking to understand the dual-edged impact of Industry 4.0 on climate justice. Liu’s research uniquely bridges macro-level technological trends with micro-level distributional consequences, offering actionable insights for designing equitable green transitions. His work is widely cited in top environmental and innovation journals, and he is recognized for advancing the empirical frontier on how automation influences environmental inequality. For students and researchers, Liu’s scholarship is essential reading for anyone exploring the complex trade-offs between technological progress, economic efficiency, and environmental equity.

Research Focus

Key Achievements

1
H-Index
1
Papers
78
Total Citations
78
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence and carbon emissions inequality: Evidence from industrial robot application
78 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Manchester

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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