The Heterogeneous Effects of Lockdown Policies on Air Pollution
Simon Briole,
Augustin Colette () and
Emmanuelle Lavaine ()
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Augustin Colette: INERIS - Institut National de l'Environnement Industriel et des Risques
Emmanuelle Lavaine: CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier
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Abstract:
While a sharp decline in air pollution has been documented during early Covid-19 lockdown periods, the stability and homogeneity of this effect are still under debate. Building on pollution data with a very high level of resolution, this paper estimates the impact of lockdown policies on P M 2.5 exposure in France over the whole year 2020. Our analyses highlight a surprising and undocumented increase in exposure to particulate pollution during lockdown periods. This result is observed during both lockdown periods, in early spring and late fall, and is robust to several identification strategies and model specifications. Combining administrative datasets with machine learning techniques, this paper also highlights strong spatial heterogeneity in lockdown effects, especially according to long-term pollution exposure.
Keywords: air pollution; P M 2.5; lockdown; spatial heterogeneity; machine learning; Covid-19 (search for similar items in EconPapers)
Date: 2023-04-28
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ene, nep-env, nep-hea and nep-mac
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Related works:
Working Paper: The Heterogeneous Effects of Lockdown Policies on Air Pollution (2023)
Working Paper: The Heterogeneous Effects of Lockdown Policies on Air Pollution (2023) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-04084912
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