This study examines the impact of industrial robot adoption on wage inequality and employment outcomes in China, which has the world’s largest robotics stock and fastest-growing adoption rate. Using data from the China Family Panel Studies and the International Federation of Robotics, we constructed a county-level robot exposure index and employed the two-stage least squares approach to address endogeneity. Our results show that robot adoption exacerbates wage polarisation in China. When faced with rising robot exposure, medium-skilled workers experience annual wage losses, while the wages of low-skilled and high-skilled workers are not significantly affected. Besides wage impact, we find occupational upgrading among past low-skilled workers and provide suggestive evidence of reduced labour-force participation among medium- and high-skilled workers. This pattern points to asymmetric labour-market adjustment across skill groups faced with robot exposure. We also examine how the wage estimates vary with trade exposure and demographic ageing. The trade interactions are consistent with a smaller annual-wage penalty for medium-skilled workers where intermediate-import exposure is greater. In counties with older populations, robot exposure is linked to a greater increase in hourly wages and a larger decline in hours worked. These findings highlight the need for targeted policies to mitigate wage inequality and support vulnerable groups during technological transformation.
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Rao et al. (2026) studied this question.
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