Bridging the Urban–Rural Digital Divide:

Frequencies ◽  
2020 ◽  
pp. 162-186
Author(s):  
Gregory Taylor
Keyword(s):  
2021 ◽  
Vol 28 (1) ◽  
pp. 29-45
Author(s):  
Chhavi Garg

Blurring various boundaries of age, place of residence (urban/rural) and sociocultural–economic factors, the mobile phone has become an integral part of everyday life of almost everyone in this world. Through the identification of differences in accessibility and use of technology including the mobile phone, a digital divide is seen to be emerging, and what is of great concern is the emergence of a digital gender divide. The article is based on a study of mobile phone use by rural illiterate women in India, exploring whether three different parameters, namely, place of residence (rural or urban), gender and illiteracy, are hindering the use of the mobile phone or not. Nearly 85 per cent of the rural illiterate women studied were found to be using a mobile phone without necessarily owning it. It was their quickest means of communication and receiving information. A further improvement such as a community radio through which interaction with the outside world can be facilitated should be encouraged.


2011 ◽  
Vol 204-210 ◽  
pp. 728-732
Author(s):  
Wei Xian Xue ◽  
Jun Liu

All domestic and foreign literatures on obstacle factors of urbanization process are statistically analyzed by using Meta-analysis method, and 14 main obstacle factors are identified and extracted from previous research results. After that, the paper analyzes the relative structure among the 14 factors by using interpretive structural model. The results show that urban-rural IT industry gap, IT-using gap, employment opportunity gap, informatinization policies difference, consumption difference, social culture difference, information resource gap, information consciousness difference and thinking manner difference are superficial and direct obstacle factors; IT-owning gap, educational development gap and life level difference are intermediate and indirect obstacle factors; information infrastructure difference and income gap are essential and basic obstacle factors. This analysis is helpful to open out drag system of urbanization process under the condition of urban-rural “digital divide”.


2014 ◽  
Vol 1073-1076 ◽  
pp. 1459-1462
Author(s):  
Jun Liu ◽  
Jia Jun Li ◽  
Yi He

The urbanization is a complex social change process in the space system, which was influenced by many factors. Urban-rural digital gap has become the obvious obstacle of urbanization process. And the influence of the urban-rural digital divide to urbanization has also appeared. Based on the analysis of influence of the urban-rural digital divide in Guizhou province to the urbanization, this paper focused on the influence mechanism of Guizhou’s urban-rural digital divide to the urbanization, so as to learn how the urban-rural digital divide in Guizhou province acts on the urbanization process.


2021 ◽  
Author(s):  
Reza Rajabiun ◽  
Catherine A. Middleton

Potential for private sector under-investment in rural broadband networks motivates a wide range of public sector initiatives around the world that aim to promote incentives to supply high-speed Internet access services in rural and remote communities. This paper provides an overview of policies and program design strategies that have shaped rural broadband development in Canada. The Canadian experience is particularly interesting in the context of broader debates about addressing the urban-rural digital divide because a combination of competition and targeted subsidies have helped achieve near universal access to some form of Internet connectivity.


Education ◽  
2019 ◽  
Author(s):  
Maggie Hartnett

The term “digital divide” emerged in the 1990s in the United States to describe observed inequalities of access, initially, to computers and later to the Internet, information, and other digital technologies. Originally defined as the gap between those who have physical access to technology and those who do not, over time a more nuanced picture of the digital divide has emerged. Other factors such as motivation to use and technology skills, intention to use, and social support available vary among populations and are collectively referred to as the second-level divide. Recently, a third-level divide related to outcomes of using the Internet has emerged. A variety of sociodemographic factors have been identified across a multitude of national and cross-national studies that determine which groups are more likely to be on the wrong side of the access, use, and outcomes divides. These sociodemographic factors include: age, income, education, employment status, and geographical location (i.e., urban/rural). Other terms such as digital inclusion/exclusion and digital capital are increasingly used to highlight how sociodemographic factors related to digitally disadvantaged groups tend to reflect existing societal inequities. Over the two decades in which research about the digital divide has been undertaken, studies have shown that the divide is narrowing in terms of access but deepening, when considering use and outcomes of use, in countries where availability of digital technologies is near ubiquitous. Research in the last decade or so has identified various user groups whose characteristics sit on a spectrum from non-use to expert use. Digital divide theories are also emerging and large datasets across multiple countries are now being used to test such theories. It is also evident from recent research that the digital divide is not a static entity but is changing as a result of increasing use of digital devices, complexities of use, and socio-contextual factors. Research focused on initiatives that attempt to address digital divide issues demonstrates that there is no “one size fits all” solution and governments, in particular, play a central role in ensuring that technology infrastructure investment and development occurs to ensure the benefits of technological use are spread throughout society.


2020 ◽  
Vol 10 (7) ◽  
pp. 2613 ◽  
Author(s):  
Jean-Pierre Niyigena ◽  
Qingshan Jiang ◽  
Djemel Ziou ◽  
Ruey-Shiang Shaw ◽  
A S M Touhidul Hasan

During the last decade, information and communication technology has brought remarkable changes to the education style of developed countries, especially in the context of online learning materials accessibility. However, in developing nations such as the East African (EA) countries, university students may lack the necessary ICT training to take advantage of e-learning resources productively. Therefore, the comprehension of the key factors behind ICT fluency is a significant concern for this region and all the developing countries in general. This paper applies the Concentration Index and proposes a Logistic Regression based model to discover the key determinants of ICT fluency and to explore the evolution of the digital divide among EA students within the four years of undergraduate studies. To identify the principal determinants, data composing of 1237 participants is collected from three different universities in EA within a one year period. The experimental results indicate that the digital divide among students decreases quite fast from the first year to the fourth year. Regression computational findings show that the key determinants of ICT fluency are the student urban/rural origin, computer ownership, computer experience, class year, and major. The findings provide heuristic implications for developers, practitioners, and policy makers for an improved ICT environment implementation in EA and the developing nations in general.


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