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

Version
1
Resource Type
Dataset
Creator
  • He, Jiaxiu
  • Liu, Haoming
  • Salvo, Alberto
Publication Date
2019-01-01
Description
  • 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/m3 PM2.5 variation sustained over 25 days reduces daily output by 1%.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/app.20170286 (Text)
Publications
  • He, Jiaxiu, Haoming Liu, and Alberto Salvo. “Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China.” American Economic Journal: Applied Economics 11, no. 1 (January 2019): 173–201. https://doi.org/10.1257/app.20170286.
    • ID: 10.1257/app.20170286 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

He, Jiaxiu; Liu, Haoming; Salvo, Alberto (2019): Replication data for: Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113724V1