Cities in a pandemic: Evidence from China
This paper studies the impact of urban density, city government efficiency, and medical resources on COVID-19 infection and death outcomes in China. We adopt a simultaneous spatial dynamic panel data model to account for (i) the simultaneity of infection and death outcomes, (ii) the spatial pattern...
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sg-smu-ink.soe_research-36572023-11-21T06:14:57Z Cities in a pandemic: Evidence from China BALTAGI, Badi H. DENG, Ying JING, Li YANG, Zhenlin This paper studies the impact of urban density, city government efficiency, and medical resources on COVID-19 infection and death outcomes in China. We adopt a simultaneous spatial dynamic panel data model to account for (i) the simultaneity of infection and death outcomes, (ii) the spatial pattern of the transmission, (iii) the intertemporal dynamics of the disease, and (iv) the unobserved city-specific and time-specific effects. We find that, while population density increases the level of infections, government efficiency significantly mitigates the negative impact of urban density. We also find that the availability of medical resources improves public health outcomes conditional on lagged infections. Moreover, there exists significant heterogeneity at different phases of the epidemiological cycle. 2023-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2658 info:doi/10.1111/jors.12626 https://ink.library.smu.edu.sg/context/soe_research/article/3657/viewcontent/COVIDCities.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University COVID-19 urban density government efficiency cities Asian Studies Econometrics Public Health Regional Economics Urban Studies and Planning |
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COVID-19 urban density government efficiency cities Asian Studies Econometrics Public Health Regional Economics Urban Studies and Planning BALTAGI, Badi H. DENG, Ying JING, Li YANG, Zhenlin Cities in a pandemic: Evidence from China |
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This paper studies the impact of urban density, city government efficiency, and medical resources on COVID-19 infection and death outcomes in China. We adopt a simultaneous spatial dynamic panel data model to account for (i) the simultaneity of infection and death outcomes, (ii) the spatial pattern of the transmission, (iii) the intertemporal dynamics of the disease, and (iv) the unobserved city-specific and time-specific effects. We find that, while population density increases the level of infections, government efficiency significantly mitigates the negative impact of urban density. We also find that the availability of medical resources improves public health outcomes conditional on lagged infections. Moreover, there exists significant heterogeneity at different phases of the epidemiological cycle. |
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text |
author |
BALTAGI, Badi H. DENG, Ying JING, Li YANG, Zhenlin |
author_facet |
BALTAGI, Badi H. DENG, Ying JING, Li YANG, Zhenlin |
author_sort |
BALTAGI, Badi H. |
title |
Cities in a pandemic: Evidence from China |
title_short |
Cities in a pandemic: Evidence from China |
title_full |
Cities in a pandemic: Evidence from China |
title_fullStr |
Cities in a pandemic: Evidence from China |
title_full_unstemmed |
Cities in a pandemic: Evidence from China |
title_sort |
cities in a pandemic: evidence from china |
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Institutional Knowledge at Singapore Management University |
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2023 |
url |
https://ink.library.smu.edu.sg/soe_research/2658 https://ink.library.smu.edu.sg/context/soe_research/article/3657/viewcontent/COVIDCities.pdf |
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