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About
Xianqing Tu is a rising scholar at the intersection of labor economics, gender studies, and technological change. Their research primarily investigates how automation and digitization reshape workplace inequalities, with a particular focus on gendered outcomes in China’s manufacturing sector. In their most-cited work, “Digitization inequality: how robotization shapes gendered perceived pay fairness in China” (2025), Tu examines how the adoption of industrial robots influences workers’ perceptions of pay fairness differently for men and women. By analyzing the mediating roles of wage dynamics and job security, this study reveals that robotization exacerbates existing gender disparities in perceived fairness, even when controlling for actual earnings. Though early in their career, Tu’s work has already garnered attention for its timely contribution to debates on Industry 4.0 and social equity. This research offers critical insights for policymakers seeking to design inclusive automation strategies. As robotization accelerates globally, Tu’s findings serve as an essential reminder that technological progress must be paired with deliberate measures to prevent deepening gender divides in the workplace.
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