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Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification

This brief paper uses a simple arithmetic framework to classify and explain the performance of developing countries in closing the absolute digital divide. Four categories are created on the basis of two variables, namely, the penetration and rate of growth of mobile phones. The paper answers questi...

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Detalles Bibliográficos
Autor principal: James, Jeffrey
Formato: Texto
Lenguaje:English
Publicado: Springer Netherlands 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2931759/
https://www.ncbi.nlm.nih.gov/pubmed/20835391
http://dx.doi.org/10.1007/s11205-009-9572-0
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author James, Jeffrey
author_facet James, Jeffrey
author_sort James, Jeffrey
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description This brief paper uses a simple arithmetic framework to classify and explain the performance of developing countries in closing the absolute digital divide. Four categories are created on the basis of two variables, namely, the penetration and rate of growth of mobile phones. The paper answers questions such as: Which countries do well and badly on both variables? Are the countries in these categories drawn from specific regions or similar income levels or is the distribution more random? How can similar countries from the same region appear in two diametrically opposite categories? What does this imply for policy?
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spelling pubmed-29317592010-09-10 Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification James, Jeffrey Soc Indic Res Article This brief paper uses a simple arithmetic framework to classify and explain the performance of developing countries in closing the absolute digital divide. Four categories are created on the basis of two variables, namely, the penetration and rate of growth of mobile phones. The paper answers questions such as: Which countries do well and badly on both variables? Are the countries in these categories drawn from specific regions or similar income levels or is the distribution more random? How can similar countries from the same region appear in two diametrically opposite categories? What does this imply for policy? Springer Netherlands 2010-01-07 2010 /pmc/articles/PMC2931759/ /pubmed/20835391 http://dx.doi.org/10.1007/s11205-009-9572-0 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
James, Jeffrey
Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification
title Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification
title_full Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification
title_fullStr Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification
title_full_unstemmed Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification
title_short Penetration and Growth Rates of Mobile Phones in Developing Countries: An Analytical Classification
title_sort penetration and growth rates of mobile phones in developing countries: an analytical classification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2931759/
https://www.ncbi.nlm.nih.gov/pubmed/20835391
http://dx.doi.org/10.1007/s11205-009-9572-0
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