Dataset Information

E-inclusion: Beyond individual socio-demographic characteristics.

ABSTRACT: The changing demographic structure of the population, resulting in unparalleled growth of the elderly population, means that e-inclusion of this population group is considered to be a social and political priority in the context of the Information Society. Most research studies have only considered individual variables -such as age, gender, education, income and health- in the explanatory models of e-inclusion of senior citizens, while ignoring macro variables, such as the welfare systems and public policies in each country. Simultaneously, most studies focus on small-scale samples, lack international comparisons and do not consider the combined effect of several variables that influence Internet use. This study aims to analyse possible differences between two countries that have different welfare systems and public policies, after controlling for the effects of the individual variables that have been identified in the literature as relevant for Internet use. The study focuses on a sample of 8639 individuals, aged 50 years and over, residing in Portugal and Estonia, who participated in the SHARE project (Survey of Health, Ageing and Retirement in Europe). The results of the logistic regression analysis demonstrate that welfare systems and public policies have an impact on the likelihood of Internet use, thus reinforcing the importance of developing public policies to foster e-inclusion of senior citizens.

SUBMITTER: Silva P

PROVIDER: S-EPMC5598973 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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E-inclusion: Beyond individual socio-demographic characteristics.

Silva Patrícia P Matos Alice Delerue AD Martinez-Pecino Roberto R

PloS one 20170914 9

The changing demographic structure of the population, resulting in unparalleled growth of the elderly population, means that e-inclusion of this population group is considered to be a social and political priority in the context of the Information Society. Most research studies have only considered individual variables -such as age, gender, education, income and health- in the explanatory models of e-inclusion of senior citizens, while ignoring macro variables, such as the welfare systems and pu ...[more]

PMID: 28910358

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Dataset Information

E-inclusion: Beyond individual socio-demographic characteristics.

Publications

E-inclusion: Beyond individual socio-demographic characteristics.

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