Papers

2

Total Citations

25

H-Index

2

About

Zhixiong Tan is an emerging researcher whose work sits at the compelling intersection of technological adoption, environmental economics, and sustainable development, with a particular focus on the Chinese economic context. His research centers on understanding how industrial automation — specifically the proliferation of industrial robots — shapes green total factor productivity (GTFP), a key metric capturing the efficiency of economic growth relative to environmental costs. Tan's most notable contribution, a 2024 study examining urban panel data from Chinese cities spanning 2007–2019, has already garnered 22 citations, signaling strong early impact within the field. This work provides rigorous empirical evidence on how robot adoption influences green development outcomes, offering actionable insights for policymakers navigating the dual pressures of industrialization and environmental sustainability. His 2025 follow-up study deepens this inquiry by exploring the mechanisms of knowledge flow as a pathway through which automation drives green productivity gains. Collectively, Tan's research addresses one of the most pressing questions of our time: can technological progress and ecological responsibility advance together? His work is essential reading for scholars and students interested in automation economics, environmental policy, and China's green transition strategy.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Does industrial robot adoption affect green total factor productivity? – Evidence from China
22 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chongqing University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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