Yangzi Wang

Papers

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About

Yangzi Wang is a rising scholar in labor economics and technological change, with a focus on how automation and artificial intelligence reshape employment dynamics. Her most-cited work, “Will advancement in technologies bring fear and damage human employment? Evidence from China’s manufacturing industry” (2024), addresses a pressing global concern: the fear that robots and AI will displace human workers. Using panel data from 28 Chinese manufacturing industries, Wang investigates the impact of technical progress bias on employment, offering nuanced evidence that technological advancement does not uniformly destroy jobs but instead shifts labor demand in complex ways. Although early in her career, this study has already garnered attention for its timely analysis of China’s industrial transformation, contributing critical insights to debates on automation, skill polarization, and labor market resilience. Wang’s research bridges economic theory and real-world policy implications, making her a notable voice in understanding the future of work in developing economies. Her work is essential reading for students and researchers exploring the intersection of technology, employment, and industrial policy.