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Digital Divide and its Variations amongst OECD, NIE and ASEAN Countries

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  • Bory Seng
  • Almas Heshmati

    () (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

Abstract

Information and Communication Technology (ICT) has developed rapidly in the recent decades. The industrial nations are the derivations of the development and use of new communication technologies. As such today industrial nations have a continuously higher communications technology standard. As a result the digital divide between the developing and industrial nations is large and growing with time. Knowledge is expected to be easily shared across geographical boundaries by using ICT technologies. Thus ICT is a powerful tool providing developing countries with opportunities to meet vital developmental goals such as basic health care, education and governance related reforms. However, many people in developing countries have neither the opportunity nor the necessary skills to use the technology. Therefore, this paper aims at computing parametric and non parametric composite indices of ICT across countries and over time. The indices will help to quantify the countries' status of distribution of communication technologies and the need for basic infrastructure for their development. The focus is on measuring the countries¡¯ readiness to participate in the technological innovations and in utilization of ICT based services and to rank the countries to quantify the overall digital divide and its development.

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File URL: ftp://147.46.237.98/DP-55.pdf
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Bibliographic Info

Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201055.

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Length: 34 pages
Date of creation: Feb 2010
Date of revision: Feb 2010
Handle: RePEc:snv:dp2009:201055

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Keywords: ICT infrastructure; digital divide; indices; principal component; ASEAN; OECD; NIE;

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  1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-37, October.
  2. Paul Green & Jonathan Kim & Frank Carmone, 1990. "A preliminary study of optimal variable weighting in k-means clustering," Journal of Classification, Springer, vol. 7(2), pages 271-285, September.
  3. A.L. Keith Acheson, 2010. "Globalization," Carleton Economic Papers 10-01, Carleton University, Department of Economics.
  4. Heshmati, Almas & Bajalan, Chemen S. J. & Tausch, Arno, 2007. "Measurement and Analysis of Child Well-Being in Middle and High Income Countries," IZA Discussion Papers 3203, Institute for the Study of Labor (IZA).
  5. Hargittai, Eszter, 1999. "Weaving the Western Web: explaining differences in Internet connectivity among OECD countries," Telecommunications Policy, Elsevier, vol. 23(10-11), pages 701-718, November.
  6. Paul DiMaggio & Eszter Hargittai, 2001. "From the 'Digital Divide' to 'Digital Inequality': Studying Internet Use as Penetration Increases," Working Papers 47, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
  7. Almas Heshmati, 2006. "Measurement of a Multidimensional Index of Globalization," Global Economy Journal, De Gruyter, vol. 6(2), pages 1.
  8. Mansell, Robin, 1999. "Information and communication technologies for development: assessing the potential and the risks," Telecommunications Policy, Elsevier, vol. 23(1), pages 35-50, February.
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