The pattern and externality effect of diffusion of mobile telecommunications: the case of the OECD and Taiwan

Jang, Show-Ling; Dai, Shau-Chi; Sung, Simona

doi:10.1016/j.infoecopol.2004.05.001

Cited by 61 publications

(31 citation statements)

References 7 publications

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“…Innovation diffusion theory would predict that the decision to adopt an innovation depends heavily on the decisions of others in one's social group (Rogers, 2003), and peer-to-peer communications is very influential (Mahajan, Muller, & Bass, 1990), including in the adoption of new technology (Jang, Dai, & Sung, 2005). Similarly, as kids who access ICT in school communicate with their parents, this peer-topeer communication may accelerate the diffusion of ICT by reducing parents' perceived uncertainties or increasing parents' perceived utility of ICT.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Does ICT in schools affect residential adoption and adult utilization outside schools?

Tengtrakul

Peha

2013

Telecommunications Policy

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Policymakers around the world are considering whether to invest in putting information and communication technology (ICT) in schools, and how. While educational impact is likely to be the primary objective, such investments can also affect residential adoption and adult utilization of ICT in the communities, thereby reducing the digital divide. Using a census survey of Thailand for a time when ICT was available in roughly half of the nation's schools, this study employs logistic regression and propensity score matching (PSM) to show that placing ICT in schools does have significant spill-over effects outside schools. This effect is larger for ICT in primary schools than secondary schools, and larger in schools with both Internet and computers than schools with just computers. The effects are observed in households of all incomes and educational levels. Considering these spill-over effects when allocating resources should lead to greater welfare gains for the amount of resources spent. The study also finds that there is a sizable portion of the adult population that chooses not to use ICT even after adopting this ICT in their households for their children, thereby eliminating any barriers to use related to cost and convenience. For this group, policy-makers should seek ways to decrease other impediments to ICT use, such as increasing ICT literacy through training. IntroductionPolicymakers around the world are considering whether to invest in putting information and communications technology (ICT) in schools. While the primary impact of this ICT is likely to be on the education that students get while at school, there may be spill-over effects that are worth considering, where any impact outside the school is considered a spill-over effect. This study measures the spill-over effects of bringing ICT to students in their schools on adoption of ICT in the households of these students, and on utilization of ICT by adults who live with these students. The specific ICT considered consists of computers and Internet access (either dial-up or broadband). Many believe it is important for a society to increase adoption and utilization of Internet and computers because this has benefits such as improving healthcare (Lua, Xiao, Sears, & Jacko, 2005), facilitating civic engagement (Norris, 2003), and improving education (Tinio, 2003). This paper presents an econometric study of how putting ICT in schools in Thailand (UNESCO, 2007) affected the adoption and use of ICT in the surrounding communities. This study also looks at how adult utilization of ICT is affected by living with students, and indirectly, by living with ICT that was likely brought into the households for those students.

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Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Does ICT in schools affect residential adoption and adult utilization outside schools?

Tengtrakul

Peha

2013

Telecommunications Policy

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“…Bohlin, Gruber, & Koutroumpis, 2010;Grajek & Kretschmer, 2009;Jang et al, 2005;Liikanen et al, 2004;Gruber & Verboren, 2001). These factors include the role of low prices, technology development, rapid standardization, network effects, and previous existence of the fixed-line telephony.…”

Section: Determinants Of Diffusion: a Reviewmentioning

confidence: 99%

“…Existing studies of mobile phones growth apply standard epidemic models (e.g. Chang, Li, & Kim, 2014;Riikonen et al, 2013;Kauffman & Techatassanasoontorn, 2009;Singh, 2008;Rouvinen, 2006;Jang, Dai, & Sung, 2005;Liikanen, Stoneman, & Toivanen, 2004;Botelho, Pinto, 2004;Gruber & Verboren, 2001) often used in the empirical literature of technology diffusion.…”

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confidence: 99%

“…The transition from the analogue to the digital technology in Europe in the 1990s prompted operators to reduce service prices in order to attract new customers (Gruber & Verboren, 2001). The implementation of the GSM standard (2G) was followed by the promotion of competition and the attribution of additional licenses for mobile communication services, contributing to further price decreases (Jang et al, 2005;Gruber & Verboren, 2001). In a study on 2G adoption in 41 countries between 1998 and 2004, it was found a correlation between decreasing cellular service costs and increasing phone usage (Grajek & Kretschmer, 2009).…”

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confidence: 99%

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Calling for change? Innovation, diffusion, and the energy impacts of global mobile telephony

Bento

2016

Energy Research & Social Science

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Few technologies in history diffused as intensively and fast as mobile phones, to the point where they have become the most democratic technology. The article analyzes historical patterns of mobile phone growth and their effects in energy needs. Through an empirical analysis employing diffusion models on data for 227 countries between 1980 and 2010, it is concluded that global demand may saturate at around one subscription per person and the diffusion of mobile-broadband connection has contributed to sustain growth. Demand has already showed signs of saturation in developed countries, while there is still potential for growth in developing countries. Impacts on energy consumption are assessed with the help of a field trial. Even though the energy consumed in phone charging was not very significant (6-8TWh) in 2010, it becomes substantially higher when infrastructural needs are included (93TWh). The actual trends suggest that mobile communication might have a sizeable direct effect on energy consumption-although the net impact on energy demand is more difficult to estimate. This can become an issue in developing countries, where the adoption of mobile phones is catching-up rapidly with the world average, in a context of generalized increasing electricity demand.

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“…He suggests that as more and more people subscribe new media technology such as VCRs, personal computer, mobile and broadband Internet, others are attracted to it (Rohlfs, 2001;Haring et al, 2002). Recently Jang et al (2005) found that the pattern of diffusion of mobile telecommunications for OECD countries is generally characterized by an S-shaped curve; nevertheless, significant differences exist in the spread of the S curve, largely because of differences in the magnitude of the network externality coefficient.…”

Section: Network Effectmentioning

confidence: 99%

The Diffusion of Fixed Broadband: An Empirical Analysis

Lee¹,

Brown

2008

SSRN Journal

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Broadband infrastructure is a key component of the knowledge economy. Broadband connections on both fixed and mobile networks are becoming an indicator of the knowledge economy. Employing the largest secondary data set, this study examines adoption factors of fixed broadband.The result of nonlinear and linear regression analysis of fixed broadband deployment Also, as expected, previous fixed-broadband penetration was found to be an influential factor of current fixed-broadband deployment in all ITU membership countries, whether characterized as developed or developing countries. Considering impacts of platform competition in ITU membership countries, currently it appears in many countries that network effects and the effects of platform competition co-exist.

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The pattern and externality effect of diffusion of mobile telecommunications: the case of the OECD and Taiwan

Cited by 61 publications

References 7 publications

Does ICT in schools affect residential adoption and adult utilization outside schools?

Does ICT in schools affect residential adoption and adult utilization outside schools?

Calling for change? Innovation, diffusion, and the energy impacts of global mobile telephony

The Diffusion of Fixed Broadband: An Empirical Analysis

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