Who's at Risk of Digital Divide? : Analysis of a U.S.-Community Data
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As the e-government becomes a key concept in scholarly and policymaker dialogues about democratic government and public services, a new form of social inequality, digital divide appears. The purpose of this study is to investigate the first level digital divide. By employing the ordered logistic regression models, a representative community sample drawn from the Iowa Family Survey (n=4,002) was analyzed to identify the individuals who’s at risk of digital divide. Effects of structural variables such as age, education and region and individual characteristics’ variable such as perceived health and senior living alone status were significant in the models. However, the access to Internet did not differ by individual’s income or gender in this study. This study suggested individuals at risk of digital divide such as the seniors living alone in non-metro areas or seniors who were less educated could be left behind in e-government and facing greater risk at the digital divide. Also, this study suggests that (a) it might be helpful to reduce the digital divide in the society if the Practical Art Education's curriculum includes contents regarding technical defusion by children into their parents or grandparents; and (b) computer classes or computer labs at school could be the critical resources for the children from the less advantaged families to gain their digital inclusion in the society.
Abstract
As the e-government becomes a key concept in scholarly and policymaker dialogues about democratic government and public services, a new form of social inequality, digital divide appears. The purpose of this study is to investigate the first level digital divide. By employing the ordered logistic regression models, a representative community sample drawn from the Iowa Family Survey (n=4,002) was analyzed to identify the individuals who’s at risk of digital divide. Effects of structural variables such as age, education and region and individual characteristics’ variable such as perceived health and senior living alone status were significant in the models. However, the access to Internet did not differ by individual’s income or gender in this study. This study suggested individuals at risk of digital divide such as the seniors living alone in non-metro areas or seniors who were less educated could be left behind in e-government and facing greater risk at the digital divide. Also, this study suggests that (a) it might be helpful to reduce the digital divide in the society if the Practical Art Education's curriculum includes contents regarding technical defusion by children into their parents or grandparents; and (b) computer classes or computer labs at school could be the critical resources for the children from the less advantaged families to gain their digital inclusion in the society.
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