Covid-19: analyse spatiale de l’influence des facteurs socio-économiques sur la prévalence et les conséquences de l’épidémie dans les départements français
Nadine Levratto (),
Mounir Amdaoud () and
Giuseppe Arcuri ()
No 2020-4, EconomiX Working Papers from University of Paris Nanterre, EconomiX
This paper analyses the socio-economic determinants of hospitalizations and death rates related to Covid-19 on the one hand, and the excess mortality observed this year compared to previous ones, on the other. It proposes a territorial approach to these questions thanks to the use of data calculated at the French departments level. The exploratory spatial analysis carried out reveals the heterogeneity and spatial autocorrelation of the disease and its consequences. The use of spatial econometric models, then, allows us to highlight the influence of demographic density, social inequalities, part of blue-collars in the active population and emergency services on the studied phenomena.
Keywords: Covid-19; local variables; spatial analysis (search for similar items in EconPapers)
JEL-codes: C21 I14 R23 (search for similar items in EconPapers)
Pages: 24 pages
New Economics Papers: this item is included in nep-geo
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Persistent link: https://EconPapers.repec.org/RePEc:drm:wpaper:2020-4
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