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Article: Illuminating the effects of the US-China tariff war on China’s economy

TitleIlluminating the effects of the US-China tariff war on China’s economy
Authors
KeywordsNight lights
US-china tariff war
Issue Date16-Apr-2024
PublisherElsevier
Citation
Journal of International Economics, 2024, v. 150 How to Cite?
Abstract

This paper studies the impact of the US-China tariff war on China, using high-frequency night lights data and grid-level measures of tariff exposure. Exploiting within-grid variation over time and controlling extensively for grid-specific contemporaneous trends, we find that each one-percentage-point increase in exposure to the US tariffs was associated with a 0.59% reduction in night-time luminosity. This impact was highly skewed across locations: Grids with negligible direct exposure to the US tariffs accounted for 70% of China’s population. But the tail 2.5% of China’s population with the highest exposure saw an implied 2.52% (1.62%) decrease in income per capita (employment) relative to unaffected grids. These effects were moreover concentrated in locations with a high commuting openness. By contrast, we do not find significant effects from China’s retaliatory tariffs, and offer evidence of several channels through which the impact on imported inputs was mitigated. In a parallel analysis at the prefecture level, we confirm that the US tariffs had discernible negative aggregate consequences.


Persistent Identifierhttp://hdl.handle.net/10722/342784
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 4.583

 

DC FieldValueLanguage
dc.contributor.authorChor, Davin-
dc.contributor.authorLi, Bingjing-
dc.date.accessioned2024-04-24T02:47:09Z-
dc.date.available2024-04-24T02:47:09Z-
dc.date.issued2024-04-16-
dc.identifier.citationJournal of International Economics, 2024, v. 150-
dc.identifier.issn0022-1996-
dc.identifier.urihttp://hdl.handle.net/10722/342784-
dc.description.abstract<p>This paper studies the impact of the US-China tariff war on China, using high-frequency night lights data and grid-level measures of tariff exposure. Exploiting within-grid variation over time and controlling extensively for grid-specific contemporaneous trends, we find that each one-percentage-point increase in exposure to the US tariffs was associated with a 0.59% reduction in night-time luminosity. This impact was highly skewed across locations: Grids with negligible direct exposure to the US tariffs accounted for 70% of China’s population. But the tail 2.5% of China’s population with the highest exposure saw an implied 2.52% (1.62%) decrease in income per capita (employment) relative to unaffected grids. These effects were moreover concentrated in locations with a high commuting openness. By contrast, we do not find significant effects from China’s retaliatory tariffs, and offer evidence of several channels through which the impact on imported inputs was mitigated. In a parallel analysis at the prefecture level, we confirm that the US tariffs had discernible negative aggregate consequences.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of International Economics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectNight lights-
dc.subjectUS-china tariff war-
dc.titleIlluminating the effects of the US-China tariff war on China’s economy-
dc.typeArticle-
dc.identifier.doi10.1016/j.jinteco.2024.103926-
dc.identifier.scopuseid_2-s2.0-85190428328-
dc.identifier.volume150-
dc.identifier.eissn1873-0353-
dc.identifier.issnl0022-1996-

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