Yiming Qin

Papers

Total Citations

H-Index

About

Yiming Qin is a leading scholar in labor economics and the economics of automation, with a particular focus on the intersection of technological change and labor markets in China. Their most-cited work, "Robotization and labour demand in post-pandemic era: Microeconomic evidence from China" (2023, 22 citations), provides critical microeconomic evidence on how industrial robot adoption reshapes labor demand in the wake of COVID-19. This research stands out for its timely analysis of the pandemic's amplifying effect on automation trends, offering nuanced insights into job displacement and skill polarization. Qin's contributions are foundational for understanding the evolving dynamics between technological progress and employment in developing economies. By leveraging firm-level data and rigorous causal methods, they have advanced policy debates on reskilling and social safety nets. Their work is widely cited by economists and policymakers seeking evidence-based strategies for managing automation's labor market impacts. Qin's research continues to shape discussions on inclusive growth in the post-pandemic era, cementing their reputation as a key voice in the field of labor and technology.