The role of socioeconomic variables in the regional inequalities of COVID-19 mortality in Hungary

Balázs Pager (), Csaba Tóth and Annamária Uzzoli ()
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Balázs Pager: University of Vienna, Austria
Annamária Uzzoli: HUN-REN Research Centre for Astronomy and Earth Sciences, Geographical Institute, Budapest, Hungary

Eastern Journal of European Studies, 2024, vol. 15(1), 272-297

Abstract: Hungary is one of the five countries in the World which were most affected by the pandemic in terms of registered COVID-19 mortality up to 2023. Our research aims to identify those socioeconomic variables that explain the geographical distribution of registered district-level COVID-19 mortality in Hungary. Using OLS and spatial regression, we found that the higher share of elderly people and respiratory death rate were associated with a more severe mortality burden. Educational attainment was negatively associated with COVID-19 mortality. Variables related to healthcare access were not found to be significantly associated with district-level COVID-19 mortality. Our results indicated that the spatial term of COVID-19 mortality is significant. Positive spatial autocorrelation can be observed in some less developed districts and a few inner peripheral areas where COVID-19 mortality was relatively high, and relatively developed areas like the agglomeration area of the capital in which COVID-19 mortality was low.

Keywords: COVID-19; socio-spatial inequality; spatial autocorrelation; district-level; Hungary (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:jes:journl:y:2024:v:15:p:272-297

DOI: 10.47743/ejes-2024-0112

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