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Cited by 452

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China

He, Jiaxiu, Liu, Haoming, Salvo, Alberto·2019·American Economic Journal: Applied Economics

Abstract

We examine day-to-day fluctuations in worker-level output at two manufacturing sites in China. Ambient fine-particle (PM2.5) pollution is severe but significantly variable, largely due to exogenous atmospheric ventilation. We obtain an insignificant immediate output response from concurrent (same-shift) variation in particle pollution. We then allow worker outcomes to respond to day-to-day variation in pollution with up to 30 days of delay. We uncover statistically significant adverse output effects from more prolonged exposure, but effects are not large. A substantial + 10 μg/m 3 PM2.5 variation sustained over 25 days reduces daily output by 1 percent. (JEL J24, O13, P23, P25, P28, Q51, Q53)

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Metadata

Authors
He, J., Liu, H., & Salvo, A.
Venue
American Economic Journal: Applied Economics
Published
2019-01-01
Volume
11
Issue
1
Pages
173-201
ISSN
  • 1945-7782 (ISSN-L)
  • 1945-7790
OpenAlex
W3124390037
Cited by
452
References
23
FWCI
18.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China. https://app.cochat.ai/papers/10.1257/app.20170286
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He, J., Liu, H., & Salvo, A. (2019). Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China. American Economic Journal: Applied Economics. https://doi.org/10.1257/app.20170286

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