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Updated: Aug 12, 2025
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Cities in a pandemic: Evidence from China
Badi H Baltagi1,2, Ying Deng3, Jing Li4
1Department of Economics and Center for Policy Research Syracuse University Syracuse New York USA.
Journal of Regional Science
|January 30, 2023
Summary
Urban density increases COVID-19 infections, but efficient city governments mitigate this impact. Medical resources improve outcomes, with effects varying across the pandemic's phases.
Area of Science:
- Public Health
- Epidemiology
- Urban Studies
- Health Economics
Background:
- Understanding factors influencing COVID-19 transmission and mortality is crucial for public health policy.
- Urban environments present unique challenges for disease control due to population density and social interaction.
- The role of governance and resource allocation in mitigating pandemics requires further investigation.
Purpose of the Study:
- To analyze the effects of urban density, government efficiency, and medical resources on COVID-19 infection and death rates in China.
- To employ a robust econometric model that accounts for complex epidemiological and spatial dynamics.
- To identify key determinants of pandemic outcomes and inform targeted interventions.
Main Methods:
- Utilized a simultaneous spatial dynamic panel data model.
- Accounted for simultaneity between infection and death outcomes.
- Incorporated spatial transmission patterns, intertemporal disease dynamics, and unobserved city- and time-specific effects.
Main Results:
- Population density was found to correlate positively with increased COVID-19 infections.
- Higher city government efficiency significantly reduced the adverse effects of urban density on infections.
- Adequate medical resources improved public health outcomes, particularly in relation to prior infection levels, with notable variations across epidemiological phases.
Conclusions:
- Government efficiency is a critical factor in managing infectious disease outbreaks in dense urban settings.
- Strategic allocation of medical resources is vital for improving pandemic response and outcomes.
- Pandemic control strategies must consider the evolving nature of disease spread and local contextual factors.
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