Yang Nie

Peking University

Papers

2

Total Citations

14

H-Index

2

About

Yang Nie is a leading researcher at the intersection of industrial robotics, environmental economics, and sustainable development. Her work centers on understanding how automation technologies—particularly industrial robots—influence carbon emissions and environmental outcomes. In her most-cited study (2023, 12 citations), she provides a rigorous spatial correlation and heterogeneity analysis, demonstrating that robot adoption can significantly promote carbon reduction, though the effect varies by region and industrial context. This research offers critical insights for policymakers seeking to align technological advancement with climate goals. Nie’s contributions are notable for their methodological rigor, combining spatial econometrics with environmental impact assessment. Her findings challenge the assumption that automation necessarily worsens environmental degradation, instead revealing pathways for green industrial transformation. With her work gaining traction in both academic and policy circles, Yang Nie is establishing herself as a key voice in the emerging field of sustainable automation, where she continues to explore how smart technologies can be leveraged for ecological benefits.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
How does the robot adoption promote carbon reduction?: spatial correlation and heterogeneity analysis
12 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Peking University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago