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Cross-country Diffusion of the Internet

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TLDR
The Gompertz model of technology diffusion is estimated using data on Internet hosts per capita for the year 1995-2000 to investigate the factors which determine the diffusion of the Internet across countries.
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This article is published in Information Economics and Policy.The article was published on 2002-06-01 and is currently open access. It has received 540 citations till now. The article focuses on the topics: Per capita & Developing country.

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Modelling and forecasting the diffusion of innovation – A 25-year review

TL;DR: The main models of innovation diffusion were established by 1970 as discussed by the authors, and the main categories of these modifications are: the introduction of marketing variables in the parameterisation of the models; generalising the models to consider innovations at different stages of diffusions in different countries; and generalizing the models by considering the diffusion of successive generations of technology.
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The Digital Divide: Current and Future Research Directions

TL;DR: This paper examines both first and second order effects of the digital divide at three levels of analysis at the individual level, the organizational level, and the global level and suggests a series of research questions at each level of analysis to guide researchers seeking to further examine the digital Divide.
Journal ArticleDOI

The determinants of the global digital divide: a cross-country analysis of computer and internet penetration

TL;DR: In this paper, the authors identify the determinants of cross-country disparities in personal computer and Internet penetration, examine a panel of 161 countries over the 1999-2001 period, and suggest that public investment in human capital, telecommunications infrastructure, and the regulatory infrastructure can mitigate the gap in PC and Internet use.
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The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application

TL;DR: This article examines a new technology application which is coming into its own around the world, in association with the revolution in wireless connectivity: mobile payments and applies a robust evaluative framework that permits identification of the relevant stakeholders and applicable theory in the analysis of consumer, firm, business process, market, industrial and social issues.
Journal ArticleDOI

The Digital Divide: The Role of Political Institutions in Technology Diffusion

TL;DR: This article found that the spread of the Internet has been driven by neither technological nor economic factors alone, but rather, political factors exert a powerful influence, such as groups that believe they will lose from the Internet using political institutions to enact policies that block the spread.
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Posted Content

International Data on Educational Attainment Updates and Implications

TL;DR: In this paper, the authors presented a data set that improves the measurement of educational attainment for a broad group of countries, and extended their previous estimates for the population over age 15 and over age 25 up to 1995 and provided projections for 2000.
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Cross-Country Technology Diffusion: The Case of Computers

TL;DR: In this paper, the determinants of computer-technology adoption were investigated for a large sample of countries between 1, 970 and 1990, and they found strong evidence that computer adoption is associated with higher levels of human capital and with manufacturing trade openness vis-a-vis the OECD.
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The Economic Analysis of Technological Change

TL;DR: In this paper, the authors present a comprehensive view of the economic approach to the analysis of technical change, which is an increasingly important sector of economic theory, in three parts: the first on the generation of new technology, the second on its spread or diffusion, and the third on the impact of new technologies.
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Weaving the Western Web: explaining differences in Internet connectivity among OECD countries

TL;DR: In this paper, the authors examined the impact of economic indicators, human capital, institutional legal environment, and existing technological infrastructure on the differences in Internet connectivity among OECD countries and found that economic wealth and telecommunications policy are the most salient predictors of a nation's Internet connectivity.
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Simultaneous equations estimation results for countries with more than 50 Internet hostsDiffusion equation WW ++ OQOQ - +(1) (2) (3) (4)Speed of diffusion a 0.186*** (0.033)0.191*** (0.033)0.194*** (0.033)0.193*** (0.031)Constant ab -5.493*** (1.040)-5.525*** (1.037)-5.352*** (1.050)-4.710*** (1.037)GDP per capita ab 0.695*** (0.118)0.697*** (0.118)0.659*** (0.131)0.565*** (0.122)Telephone access cost ab -0.164** (0.056)-0.152** (0.055)-0.135** (0.058)-0.123** (0.053)Average years of schooling 0.073 (0.154)Attendance in university education0.149** (0.064)Chi square -test 42.53*** 

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Infrastructure equation W <OQConstant 6.979*** (0.027)6.982*** (0.053)6.982*** (0.053)6.982*** (0.053)Personal computers per 1000 people0.332*** (0.027)0.347*** (0.027)0.347*** (0.027)0.348*** (0.027)Telephone main lines per 100 people0.278*** (0.035)0.257*** (0.036)0.257*** (0.036)0.257*** (0.036)Chi square -test 2011.55***