Cities in a Pandemic: Evidence from China

Badi Baltagi, Ying Deng (), Jing Li () and Zhenlin Yang ()
Additional contact information
Ying Deng: School of International Trade and Economics, University of International Business and Economics, No. 10 Huixin East Street, Chaoyang District, Beijing 100029, China
Jing Li: School of Economics, Singapore Management University, 90 Stamford Road, Singapore 178903
Zhenlin Yang: School of Economics, Singapore Management University, 90 Stamford Road, Singapore 178903

No 251, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: 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 inter-temporal dynamics of the disease, and (iv) the unobserved city- 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.

Keywords: COVID-19; Urban Density; Government Efficiency Cities (search for similar items in EconPapers)
JEL-codes: I18 R1 R5 (search for similar items in EconPapers)
Pages: 52 pages
Date: 2022-10
New Economics Papers: this item is included in nep-cna, nep-hea, nep-sea and nep-ure
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Citations: View citations in EconPapers (1)

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https://surface.syr.edu/cpr/462/ (application/pdf)

Related works:
Journal Article: Cities in a pandemic: Evidence from China (2023)
Working Paper: Cities in a Pandemic: Evidence from China (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:max:cprwps:251

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