Digital divide: determinants and policies with special reference to Asia

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The views expressed in this paper are those of the author(s) and do not necessarily reflect the views or policies of the Asian Development Bank. Terms of use: Documents in 19 ForewordThe ERD Working Paper Series is a forum for ongoing and recently completed research and policy studies undertaken in the Asian Development Bank or on its behalf. The Series is a quick-disseminating, informal publication meant to stimulate discussion and elicit feedback. Papers published under this Series could subsequently be revised for publication as articles in professional journals or chapters in books. AbstractAccess to new information and communication technologies (ICT) remains extremely unequally distributed across and within societies. While there have been a good deal of popular discussions about this "digital divide", not much is known about the quantitative significance of its various determinants. By undertaking a set of crosscountry regressions, the paper finds that income, education, and infrastructure play a critical role in shaping the divide. Based on this analysis, the paper also offers some policy suggestions as to how to promote wider diffusion of ICT in poorer societies.21

Geographic Patterns and Socio-Economic Influences on Mobile Internet Access and Use in United States Counties

“…Innovation Influences: Innovation has manifested itself in different forms in the digital divide literature and has been found to positively influence technology adoption and usage [25,28]. The professional, scientific, and technical services (PST) sector -comprised of subsectors such as computer systems design, management, scientific and technical consulting services, scientific research and development, and advertising services was a dominant correlate of technology receipts and payroll dependent variables in a study limited to 164 US counties [25].…”

Sustainable E-Governance: The Relationship among Trust, Digital Divide, and E-Government

“…One the other hand, some studies suggest that non-economical factors like rival, communication infra and human capital can affect adoption of ICT [25][26][27][28].…”

Human Capital and the Adoption of Information and Communications Technologies: Evidence from Investment Climate Survey of Pakistan

“…A one-percentage-point increase in the fraction of the labor force with education above the primary school level leads to an increase in computer investment per worker of roughly one percent. Other studies finding support for a strong and important role of education in ICT adoption include Kiiski and Pohjola (2002), Quibria et al (2003) and Rogers (2003) among others.…”