Cities in a Pandemic: Evidence from China

Badi Baltagi, Ying Deng, Jing Li and Zhenlin Yang

No 10037, CESifo Working Paper Series from CESifo

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 R10 R50 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-cna and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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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:ces:ceswps:_10037

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