Illuminating the Effects of the US-China Tariff War on China's Economy / Davin Chor, Bingjing Li.

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Chor, Davin

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w29349.Publication details: Cambridge, Mass. National Bureau of Economic Research 2021.Description: 1 online resource: illustrations (black and white)Subject(s):

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Abstract: 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.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w29349 (Browse shelf(Opens below))	Not For Loan

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October 2021.

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.