Abstract
AbstractDespite the progress of the information society, there are currently still notable differences between the access to, and usage of, information and communication technologies (ICTs) and Internet for a broad range of activities by individuals in the regions of Italy and Spain. These differences could be related to features of material and social deprivation. With 13 variables of the 40 NUTS 2 of Italy and Spain, deriving from EUROSTAT regional statistics for 2018, the aim is to respond to the following questions. Is there a relationship between the variables of ICT access and usage by households and individuals and those of social and material deprivation in the regions analysed? What is the interrelationship? Are there differences between Spanish and Italian regions in the behaviour of spatial and regional factors? Factor analysis was used to discover the relationship between variables; spatial patterns were identified by means of spatial autocorrelation; and a typology of regions has been identified by using cluster analysis. The results show that there is a relationship between the variables of ICT access and usage by households and individuals and those of deprivation in Spanish and Italian regions, and indicate that the advanced and daily use of Internet in households is negatively associated with the variables of social deprivation; and the regions with higher levels of per capita income and daily access to Internet have less employment-linked material deprivation. These results also reveal the existence of a north–south spatial pattern in both countries, and six types of regions with homogeneous characteristics have been identified.
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Sociology and Political Science,Arts and Humanities (miscellaneous),Developmental and Educational Psychology
Reference116 articles.
1. Alaimo, L. S., Ivaldi, E., Landi, S., & Maggino, F. (2022). Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa. Socio-Economic Planning Sciences, 83, 101170.
2. Andersen, K. K., Steding-Jessen, M., Oksbjerg Dalton, S., & Skyhøj Olsen, T. (2014). Socioeconomic position and incidence of Ischemic Stroke in Denmark 2003–2012. A nationwide hospital-based study. Journal of the American Heart Association, 3(4), e000762. https://doi.org/10.1161/JAHA.113.000762
3. Arthur, D., & Vassilvitskii, S. (2007). k-means++: The advantages of careful seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms Society for Industrial and Applied Mathematics, pp. 1027–1035.
4. Atkinson, T., Cantillon, B., Marlier, E., & Nolan, B. (2002). Social indicators: The EU and social inclusion. Oup Oxford.
5. Ayala, L., Jurado, A., & Pérez-Mayo, J. (2021). Multidimensional deprivation in heterogeneous rural areas: Spain after the economic crisis. Regional Studies, 55(5), 883–893. https://doi.org/10.1080/00343404.2020.1813880
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