The Economic Impact of Covid-19 and Associated Lockdown Measures in China

Fuente: Organización Internacional del Trabajo (OIT)
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Autor principal: Matthieu Charpe
Formato: Entrada de enciclopedia
Publicado: International Labour Organization 2022
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author Matthieu Charpe
author_facet Matthieu Charpe
Matthieu Charpe
contents The Economic Impact of Covid-19 and Associated Lockdown Measures in China Matthieu Charpe This paper assesses at the local level the economic impact of Covid-19 and associated lockdown measures in China using high frequency nighttime lights data. Building a model of monthly light intensity, lights dropped by a factor ranging between 13 and 18 percent in early 2020. This corresponds to a decline in economic activity of between 9 and 12 percent and a decline in employment of between 2.6 and 3.6 percent. At the local level, the majority of administrative entities followed a v-shaped recovery, while a smaller number followed a u-shaped recovery or a double dip. At province level, light intensity is explained by the number of cases and a lockdown measure. In particular, the increase in stringency index from 0 in December 2019 to 78 in April 2002 explains a decline in lights by 7.4 percent. University Library of Munich, Germany publication.encyclopediaEntry
format Entrada de enciclopedia
id ilo_995333258302676
institution Organización Internacional del Trabajo (OIT)
publishDate 2022
publisher International Labour Organization
spellingShingle The Economic Impact of Covid-19 and Associated Lockdown Measures in China
Matthieu Charpe
The Economic Impact of Covid-19 and Associated Lockdown Measures in China Matthieu Charpe This paper assesses at the local level the economic impact of Covid-19 and associated lockdown measures in China using high frequency nighttime lights data. Building a model of monthly light intensity, lights dropped by a factor ranging between 13 and 18 percent in early 2020. This corresponds to a decline in economic activity of between 9 and 12 percent and a decline in employment of between 2.6 and 3.6 percent. At the local level, the majority of administrative entities followed a v-shaped recovery, while a smaller number followed a u-shaped recovery or a double dip. At province level, light intensity is explained by the number of cases and a lockdown measure. In particular, the increase in stringency index from 0 in December 2019 to 78 in April 2002 explains a decline in lights by 7.4 percent. University Library of Munich, Germany publication.encyclopediaEntry
title The Economic Impact of Covid-19 and Associated Lockdown Measures in China
url https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/The-Economic-Impact-of-Covid-19-and/995333258302676