JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China
This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In...
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sg-smu-ink.soe_research-35022022-05-25T08:30:41Z JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China LI, Bingjing MA, Lin This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In addition, richer prefectures with higher incomes were better able to contain the virus at the early stages of community transmission. Using a spatial general equilibrium model, we show that around 28% of the infections outside Hubei province can be explained by the rapid development in transportation infrastructure and the liberalization of migration restrictions in the recent decade. 2022-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2503 info:doi/10.1016/j.jue.2021.103351 https://ink.library.smu.edu.sg/context/soe_research/article/3502/viewcontent/li_ma_covid_china_final.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University COVID-19 Spatial transmission Migration Transportation infrastructure General equilibrium spatial model Asian Studies Behavioral Economics Public Health Regional Economics Transportation |
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COVID-19 Spatial transmission Migration Transportation infrastructure General equilibrium spatial model Asian Studies Behavioral Economics Public Health Regional Economics Transportation LI, Bingjing MA, Lin JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
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This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In addition, richer prefectures with higher incomes were better able to contain the virus at the early stages of community transmission. Using a spatial general equilibrium model, we show that around 28% of the infections outside Hubei province can be explained by the rapid development in transportation infrastructure and the liberalization of migration restrictions in the recent decade. |
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LI, Bingjing MA, Lin |
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LI, Bingjing MA, Lin |
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LI, Bingjing |
title |
JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
title_short |
JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
title_full |
JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
title_fullStr |
JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
title_full_unstemmed |
JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
title_sort |
jue insight: migration, transportation infrastructure, and the spatial transmission of covid-19 in china |
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Institutional Knowledge at Singapore Management University |
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2022 |
url |
https://ink.library.smu.edu.sg/soe_research/2503 https://ink.library.smu.edu.sg/context/soe_research/article/3502/viewcontent/li_ma_covid_china_final.pdf |
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