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

Principal Investigator(s): View help for Principal Investigator(s) Jiaxiu He; Haoming Liu; Alberto Salvo

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Project Citation:

He, Jiaxiu, Liu, Haoming, and Salvo, Alberto. Replication data for: Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113724V1

Project Description

Summary: 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%.

Scope of Project

JEL Classification:
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      O13 Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
      P23 Socialist Systems and Transitional Economies: Factor and Product Markets; Industry Studies; Population
      P25 Socialist Systems and Transitional Economies: Urban, Rural, and Regional Economics
      P28 Socialist Systems and Transitional Economies: Natural Resources; Energy; Environment
      Q51 Valuation of Environmental Effects
      Q53 Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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Published Versions

V1 [2019-10-12]

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