Working paper series illuminating the effects of the us-china tariff war on china ' s economy

How much has the US-China tariff war impacted economic outcomes in China? We address this question using high-frequency night lights data, together with measures of the trade exposure of fine grid locations constructed from Chinese firms' geo-coordinates. Exploiting within-grid variation over time and controlling extensively for grid-specific contemporaneous trends, we find that each 1 percentage point increase in exposure to the US tariffs was associated with a 0.59% reduction in night-time luminosity. We combine these with structural elasticities that relate night lights to economic outcomes, motivated by the statistical framework of Henderson et al. (2012). The negative impact of the tariff war was highly skewed across locations: While grids with negligible direct exposure to the US tariffs accounted for up to 70% of China's population, we infer that the 2.5% of the population in grids with the largest US tariff shocks saw a 2.52% (1.62%) decrease in income per capita (manufacturing employment) relative to unaffected grids. By contrast, we do not find significant effects from China's retaliatory tariffs. Davin Chor Tuck School of Business Dartmouth College 100 Tuck Mall Hanover, NH 03755 and NBER davin.chor@dartmouth.edu Bingjing Li 905 K.K. Leung Building Faculty of Business and Economics The University of Hong Kong Hong Kong bingjing.crystal@gmail.com