Siying Mu
Papers
2
Total Citations
25
H-Index
2
About
Siying Mu is an emerging researcher specializing in green economics, automation technology, and sustainable development, with a particular focus on the Chinese economy. Their work sits at a compelling intersection of industrial innovation and environmental governance, examining how technological adoption shapes ecological and economic outcomes. Mu's most significant contributions center on the relationship between industrial robot adoption and Green Total Factor Productivity (GTFP) in Chinese cities. Drawing on urban panel data spanning 2007 to 2019, their 2024 study provides rigorous empirical evidence of how robot proliferation influences green development trajectories — a paper that has already garnered 22 citations, signaling rapid uptake within the field. Building on this foundation, a 2025 follow-up investigates the mechanisms driving these effects, particularly through the lens of knowledge flow, deepening scholarly understanding of why and how automation catalyzes sustainable productivity gains. What distinguishes Mu's research is its policy relevance: as China navigates simultaneous pressures of industrial modernization and environmental accountability, their findings offer actionable insights for urban planners and policymakers. Though early in their career, Mu's growing citation record reflects meaningful influence in green economics and the economics of technological change.
Research Focus
Key Achievements
Top Papers
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- 2