dc.creator | Lucendo Monedero, Ángel Luis | es |
dc.creator | Ruiz Rodríguez, Francisca | es |
dc.creator | González Relaño, Reyes Manuela | es |
dc.date.accessioned | 2020-04-08T12:39:22Z | |
dc.date.available | 2020-04-08T12:39:22Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Lucendo Monedero, Á.L., Ruiz Rodríguez, F. y González Relaño, R.M. (2019). Measuring the digital divide at regional level. A spatial analysis of the inequalities in digital development of households and individuals in Europe. Telematics and Informatics, 41, 197-217. | |
dc.identifier.issn | 0736-5853 | es |
dc.identifier.uri | https://hdl.handle.net/11441/95016 | |
dc.description.abstract | The aim of this paper is to identify the spatial inequalities in digital development (digital
divide, DD) of households and individuals in Europe at regional level. Digital
development is understood as the level of access to and use of Information and
Communication Technologies (ICTs) in households and by individuals. This study has
been undertaken using the following methodology: 1) factor analysis to identify the key
variables of use of and access to ICTs in households and by individuals in European
regions on the basis of data provided by Eurostat; 2) construction of a synthetic index,
the household and individual digital development index (HIDDI) on the basis of
identified factors; 3) analysis of the spatial autocorrelation of digital development to
identify, delimit and quantify spatial patterns and clusters in European regions.
The results of this study lead to the conclusion that the digital development of
households and individuals in European regions is founded on broadband Internet
access. In this context, the level of digital development and the DD of European
regions is based on households and individuals’ daily use of e-commerce, e-banking
and e-government services. However, the use of social networks in households with
broadband shows less DD in Europe. The values obtained by using the HIDDI for each
European region reveal that the maximum DD between these is 37%, with the spatial
autocorrelation analysis identifying a NW-SE pattern in Europe. Thus, a region’s level
of digital development is directly related to that of its neighbours; and geographical
proximity/vicinity is an element to take into account when analysing the disparities of
the DD. | es |
dc.format | application/pdf | es |
dc.format.extent | 21 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Telematics and Informatics, 41, 197-217. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | ICTs | es |
dc.subject | NUTs 2 region | es |
dc.subject | complex index | es |
dc.subject | regional spatial pattern | es |
dc.subject | spatial clusters | es |
dc.title | Measuring the digital divide at regional level. A spatial analysis of the inequalities in digital development of households and individuals in Europe | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional | es |
dc.relation.publisherversion | https://doi.org/10.1016/j.tele.2019.05.002 | es |
dc.identifier.doi | 10.1016/j.tele.2019.05.002 | es |
dc.journaltitle | Telematics and Informatics | es |
dc.publication.issue | 41 | es |
dc.publication.initialPage | 197 | es |
dc.publication.endPage | 217 | es |