EconPapers    
Economics at your fingertips  
 

The empirical evidence of digital trends in more disadvantaged European Union regions in terms of income and population density

Anna Garashchuk, Fernando Isla‐Castillo and Pablo Podadera‐Rivera

Journal of Regional Science, 2025, vol. 65, issue 1, 75-111

Abstract: Remote rural and postindustrial regions are much more vulnerable to population drain in comparison with industrialized centers and capitals, due to obvious reasons such as meager job opportunities, difficulties in accessing public services in education, healthcare and transport, housing, entertainment, lack of integration with other territories and, finally, less advanced levels of digitalization. This represents an open challenge for the European Union within the framework of its Cohesion Policy. This paper analyzes the impact of digital trends, represented by the percentage of the population with access to internet and broadband and the percentage of individuals who buy goods and internet services (percentages provided by Eurostat) in less populated EU NUTS2 regions with lower income, on the crude population growth rate composed of natural changes in population and migratory flows and on the unemployment rate by applying panel data analysis. It has been possible to confirm that digitalization has a positive impact on natural changes in population in EU regions with lower economic development. On the contrary, the unemployment rate does not affect natural changes in population, but it does have a negative impact on migratory flows. The findings show that digitalization may contribute to reversing negative demographic trends in more disadvantaged EU regions in terms of income and population density.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/jors.12729

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jregsc:v:65:y:2025:i:1:p:75-111

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0022-4146

Access Statistics for this article

Journal of Regional Science is currently edited by Marlon G. Boarnet, Matthew Kahn and Mark D. Partridge

More articles in Journal of Regional Science from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jregsc:v:65:y:2025:i:1:p:75-111