The diffusion of COVID-19 across Italian provinces: a spatial dynamic panel data approach with common factors
Regional Studies
; 2023.
Article
in English
| Scopus | ID: covidwho-2295535
ABSTRACT
This study adopts a spatial dynamic panel data model with common factors and a connectivity matrix based on cross-province population flows to help explain the spread of COVID-19 infections across Italian provinces during the period 2020–21. We find that an increase in the infections in a province has a positive and statistically significant effect on neighbours' infections, which highlights the relevance of spatial spillover effects. This finding is robust to several robustness checks. Furthermore, we investigate cross-provincial transmission heterogeneity using a heterogeneous spatial dynamic panel, which provides novel insights into the diffusion patterns of the disease. © 2023 Regional Studies Association.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Regional Studies
Year:
2023
Document Type:
Article
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