Publication Type
Journal Article
Version
submittedVersion
Publication Date
3-2023
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 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.
Keywords
COVID-19, urban density, government efficiency, cities
Discipline
Asian Studies | Econometrics | Public Health | Regional Economics | Urban Studies and Planning
Research Areas
Econometrics
Publication
Journal of Regional Science
Volume
63
Issue
2
First Page
379
Last Page
408
ISSN
0022-4146
Identifier
10.1111/jors.12626
Publisher
Wiley
Citation
BALTAGI, Badi H.; DENG, Ying; JING, Li; and YANG, Zhenlin.
Cities in a pandemic: Evidence from China. (2023). Journal of Regional Science. 63, (2), 379-408.
Available at: https://ink.library.smu.edu.sg/soe_research/2658
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1111/jors.12626
Included in
Asian Studies Commons, Econometrics Commons, Public Health Commons, Regional Economics Commons, Urban Studies and Planning Commons