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Factors that explain Internet growth in Africa: An empirical model.

机译:解释非洲互联网增长的因素:一个经验模型。

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摘要

This dissertation asks the basic question: which factors explain Internet growth? Africa is chosen as the case because it has less Internet penetration than any other world's region, and it will benefit most from an understanding of the critical relationships amongst the variables influencing Internet development. In addition, Africa's 55 countries (cases) provide sufficient data for an empirical and statistical analysis. The underlying hypothesis is that it is possible to describe the growth in Internet users by using a few predictors from an initial set of several macroeconomics and technology variables. This dissertation identifies and measures the effects of "optimum" predictors on the growth in Internet users.;Multiple regression analysis is used to determine the best-fit model between the number of Internet users (the dependent variable) and eleven candidate predictors between 1996--1999. The final regression analysis yields a subset of four significant predictors: population, gross domestic product per capita, Internet hosts, and ISPs.;The most surprising findings of this dissertation are that contrary to conventional wisdom; the number of telephone lines, and access costs are insignificant predictors of growth in Internet users. The negative effects of the lack of an infrastructure and high ISP access-charges are much less, than the positive effects of the four significant predictors on Internet adoption, as measured by the growth in Internet users.;The other major finding reveals that the effects of the key predictors are different when Africa is hypothetically segmented into three groups: geographic regions, dominant religions, and culture/languages. The Western and Southern regions have the most Internet penetration, perhaps because of cultural and economic influences from Southern Europe and the West, while the Central African region has the lowest. Christian regions have the slowest Internet penetration rate, perhaps because of the hold of the Church on media, while Indigenous religion regions have the highest growth rate that may be attributed to less resistance to open and secular Internet in these societies.;Policy implications are then derived based on the strength of correlations of each independent variable in the model. The apparent priority should to develop hosts and computing resources rather than invest in telecommunications infrastructure. Africa has the unique opportunity to "leapfrog" through several stages of Internet development by introducing policy reforms and technology simultaneously.
机译:本文提出了一个基本问题:哪些因素可以解释互联网的发展?之所以选择非洲,是因为非洲的互联网普及率不及世界任何其他地区,而且将从对影响互联网发展的变量之间的关键关系的了解中受益最大。此外,非洲的55个国家(案例)为实证和统计分析提供了足够的数据。基本假设是,可以通过使用一些宏观经济和技术变量的初始集合中的一些预测因子来描述Internet用户的增长。本文确定并衡量了“最佳”预测变量对互联网用户增长的影响。;多元回归分析用于确定1996-2002年间互联网用户数量(因变量)与11个候选预测变量之间的最佳拟合模型。 -1999。最终的回归分析产生了四个重要预测变量的子集:人口,人均国内生产总值,互联网托管者和互联网服务提供商。本论文最令人惊讶的发现与传统观点相反;电话线的数量和访问成本是互联网用户增长的微不足道的预测指标。缺乏基础设施和较高的ISP访问费用所产生的负面影响要比通过互联网用户的增长来衡量的四个重要预测因素对互联网采用的正面影响要小得多;另一项主要发现表明,这种影响假设将非洲分为三类:地理区域,主要宗教和文化/语言,则主要预测指标的不同。西部和南部地区的互联网普及率最高,这可能是由于来自南欧和西方的文化和经济影响,而中非地区的互联网普及率最低。基督教地区的互联网普及率最慢,这可能是由于教会在媒体上的控制力,而土著宗教地区的增长率最高,这可能是由于这些社会对开放和世俗互联网的抵抗力降低所致。根据模型中每个自变量的相关强度得出。显然,应该优先开发主机和计算资源,而不是投资于电信基础设施。非洲通过同时引入政策改革和技术,有独特的机会“跨越”互联网的多个发展阶段。

著录项

  • 作者

    Mustafa, Shahid S.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Economics General.;Sociology Social Structure and Development.;Mass Communications.;Information Science.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 293 p.
  • 总页数 293
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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