Siying Chen

Chongqing University, Qinghai University

Papers

Total Citations

H-Index

About

Siying Chen is an emerging scholar whose research sits at the intersection of automation technology, environmental economics, and sustainable development, with a particular focus on the Chinese urban economy. Chen's work has made notable contributions to understanding how industrial robot adoption shapes green total factor productivity (GTFP) — a measure that captures economic output while accounting for environmental costs. Drawing on comprehensive urban panel data from Chinese cities spanning 2007 to 2019, Chen's empirical investigations reveal how technological automation interacts with green development goals, exploring mechanisms such as knowledge flow and innovation spillovers. The flagship study published in 2024 has already accumulated 22 citations, a strong indicator of early-career impact and relevance to ongoing policy debates around Industry 4.0 and ecological sustainability. A follow-up contribution in 2025 further deepens this analysis by examining automation through the dual lens of economic growth and environmental protection. Chen's body of work is especially timely given global pressures to reconcile industrial modernization with climate commitments, making these findings valuable for policymakers, urban planners, and researchers navigating the challenges of green transformation in rapidly industrializing economies.