2009
DOI: 10.1111/j.1536-7150.2009.00634.x
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Determinants of Intercountry Internet Diffusion Rates

Abstract: ABSTRACT. This article employs cross-sectional data from 100 countries to analyze the main determinants of intercountry Internet diffusion rates. We set up an empirical model based on strong theoretical foundations, in which we regress Internet usage on variables that capture social, economic, and political differences between these countries. Our results support past findings that economic strength, infrastructure, and knowledge of the English language positively affect Internet connectivity. In addition to t… Show more

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Cited by 50 publications
(33 citation statements)
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“…Caselli and Coleman (2001), Baliamoune-Lutz (2003), Pohjola (2003), Chinn and Fairlie (2007), and Wunnava and Leiter (2009), by analyzing a sample including both developing and developed countries, provide empirical evidence that income per capita is positively and significantly related to ICT adoption, while Dasgupta, Lall and Wheeler (2001) find that the relationship is not significant. Beilock and Dimitrova (2003) show that the relationship between income and ICT diffusion is not linear and that income matters more for poor countries.…”
Section: ) Review Of the Literaturementioning
confidence: 99%
“…Caselli and Coleman (2001), Baliamoune-Lutz (2003), Pohjola (2003), Chinn and Fairlie (2007), and Wunnava and Leiter (2009), by analyzing a sample including both developing and developed countries, provide empirical evidence that income per capita is positively and significantly related to ICT adoption, while Dasgupta, Lall and Wheeler (2001) find that the relationship is not significant. Beilock and Dimitrova (2003) show that the relationship between income and ICT diffusion is not linear and that income matters more for poor countries.…”
Section: ) Review Of the Literaturementioning
confidence: 99%
“…Aside from general development, globalization and demographic processes, prior research argues that that political openness (i.e., as measured by broader indicators of democracy) promote Internet development because democratic regimes have fewer reasons and less power to control decentralized forms of communication that link citizens to one another (or to actors within the government; Beilock and Dimitrova 2003; Buchner 1988; Crenshaw and Robison 2006; Wunnava and Leiter 2009). In brief, democratic states allow for citizen participation in politics and afford their citizens freedoms of assembly and speech—conditions that promote a free‐flow of information among citizens and between citizens and their leaders.…”
Section: Social Structure and Internet Diffusionmentioning
confidence: 99%
“…Hence, one could expect a positive relationship between urbanization and Internet access and use. In general, cities are better networked than rural areas (Wunnava & Leiter, 2009). This is mostly due to practical and economic reasons.…”
Section: Location Of Aeasmentioning
confidence: 98%