European regional inequalities in citizens’ digital interaction with government

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Transforming Government- People Process and Policy Pub Date : 2022-07-27 DOI:10.1108/tg-03-2022-0031
Luisa Fernanda Rodríguez-Hevía, Laura Rodríguez-Fernández, L. M. Ruiz-Gómez
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引用次数: 1

Abstract

Purpose The purpose of this research is to study what factors influence European citizens in their interaction with government in the EU regions. It analyses the differences across European regions, taking account of each region’s degree of economic development and incorporating different spatially tailored approaches into the analysis. Design/methodology/approach A logistic regression analysis was used to establish whether the profiles of e-Government users differ according to the development tier they live in and other explanatory variables: socio-demographic, digital skills and type of internet connection. Findings This research identifies regional inequalities in EU citizens’ digital behaviour with public administration. This statistical study of European regions allows to better apprehend the profile of the EU’s e-citizens and offers conclusions to explain citizens’ behaviour, highlighting the influence of several variables. Originality/value Given the lack of pan-European e-government studies at a regional level, this article provides a comparative analysis for the European Union and gives insights into the behaviour of European e-citizens, highlighting the presence of digital inequalities in Europe depending on the region where citizens reside.
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欧洲地区公民与政府数字互动的不平等
目的本研究的目的是研究影响欧洲公民与欧盟地区政府互动的因素。它分析了欧洲各地区的差异,考虑到每个地区的经济发展程度,并将不同的空间定制方法纳入分析。设计/方法/方法使用逻辑回归分析来确定电子政务用户的档案是否因其所处的发展层次和其他解释变量而不同:社会人口、数字技能和互联网连接类型。发现这项研究确定了欧盟公民在公共管理方面的数字行为中的区域不平等。这项针对欧洲地区的统计研究有助于更好地了解欧盟电子公民的情况,并提供结论来解释公民的行为,强调几个变量的影响。原创性/价值鉴于缺乏区域层面的泛欧电子政务研究,本文对欧盟进行了比较分析,并深入了解了欧洲电子公民的行为,强调了欧洲存在的数字不平等,这取决于公民居住的地区。
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来源期刊
Transforming Government- People Process and Policy
Transforming Government- People Process and Policy INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
6.70
自引率
11.50%
发文量
44
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