The spatial distribution of broadband providers in the United States: 1999–2004

Grubesic, Tony H.

doi:10.1016/j.telpol.2008.01.001

Cited by 57 publications

(61 citation statements)

References 54 publications

(62 reference statements)

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“…What really matters is the so-called "local loop", i.e. the distance between final users' telephone line and the closest telecommunication exchange or "central office" (Grubesic and Horner, 2006;Grubesic, 2008;OECD, 2009;Falck et al, 2012;Czernich, 2012;Campante et al, 2013). For the supply of traditional voice services, the length of this distance does not affect the quality of the connection.…”

Section: Controlling For Endogeneitymentioning

confidence: 99%

Online Networks and Subjective Well‐Being

Sabatini¹,

Sarracino²

2017

Kyklos

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. 1 Abstract Does Facebook make people lonely and unhappy? Empirical studies have produced conflicting results about the effect of social networking sites (SNS) use on individual welfare. We use a representative sample of the Italian population to investigate how actual and virtual networks of social relationships influence subjective well-being (SWB). We find a significantly negative correlation between online networking and self-reported happiness. We address endogeneity in online networking by exploiting technological characteristics of the pre-existing voice telecommunication infrastructures that exogenously determined the availability of broadband for high-speed Internet. We try to further disentangle the direct effect of SNS use on well-being from the indirect effect possibly caused by the impact of SNS's on trust and sociability in a SEM analysis. We find that online networking plays a positive role in SWB through its impact on physical interactions. On the other hand, SNS use is associated with lower social trust, which is in turn positively correlated with SWB. The overall effect of networking on individual welfare is significantly negative. Terms of use: Documents in

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Section: Controlling For Endogeneitymentioning

confidence: 99%

Online Networks and Subjective Well‐Being

Sabatini¹,

Sarracino²

2017

Kyklos

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“…Firstly, this coefficient could have been impacted on by premises being densely located close to the exchange and therefore still achieving acceptable speeds over copper. Indeed, DSL coverage is highly geographically nuanced based on premises location (Grubesic & Horner, 2006;Grubesic, 2008;Grubesic et al 2010). Perhaps this is suggestive that in future research, it might be more appropriate to use the percentage of postcodes with NGA enabled instead of sync speed measurements as the dependent variable.…”

Section: Fixed Broadband Modelmentioning

confidence: 99%

Who’s Superconnected and Who’s Not? Investment in the UK’s Information and Communication Technologies (ICT) Infrastructure

Oughton

Tyler

Alderson

2015

Infrastruct. Complex

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The Information and Communication Technologies (ICT) infrastructure sector has dramatically expanded over the past decade as the demand for increased digital connectivity has increased from both companies and consumers. Broadband investment has been increasingly associated with positive economic growth and digital connectivity is seen as an essential ingredient with which to increase productivity, employment and create new enterprises. Hence, there is concern that companies and consumers in particular locations are disadvantaged if they are unable to obtain sufficient connectivity. At the present time there has been limited analysis of where new investment has taken place, why it has taken place in specific locations, and what the key economic and socio-economic drivers have been influencing this. The role of regulation in this process is also important to understand. This article draws on two unique, uncensored infrastructure datasets from the UK's telecommunications regulator Ofcom to assess the factors driving investment in fixed and mobile ICT infrastructure. The fixed infrastructure model utilised modem sync speed measurements from over 20 million premises, aggregated to 7004 Middle Super Output Areas (MSOA) (97.3 %) in England and Wales, to provide comprehensive micro-geographic analysis for the first time. The mobile model employed the average data transfer per premises as a network capacity-demand metric for 173 counties and Unitary Local Authorities (ULAs) (98.3 %) in England, Scotland and Wales. Using predictors at a range of spatial scales, multilevel modelling utilising Markov Chain Monte Carlo (MCMC) methods was used to estimate both the fixed and mobile broadband infrastructure models. The results confirm many of the prevailing postulates of existing telecommunications theory, namely, that dense, wealthy and well-educated areas are attractive investment hotbeds for telecommunication technologies. In the UK's fixed ICT infrastructure market, inter-platform competition was found to have a positive impact on investment compared to the mixed results found for intra-platform competition. On the whole, telecommunication investment in the UK appears to be driven by the same drivers as the much documented U.S. case, but further spatially granular research needs to be undertaken to examine the market dynamics between the incumbent and different forms of induced competition across the telecommunication network.

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“…This approach simultaneously addresses both location and attribute information, thus creating a powerful analytical technique (Tsou et al 2005). Here, we use Moran's I method, which is commonly applied for evaluating spatial equity (Lorant et al 2001;Tsou et al 2005;Grubesic 2008). Moran's I is positive when nearby objects tend to be similar and suggests an equitable distribution, where Moran's I = 1 is the most equitable distribution.…”

Section: Equity Measurement Spatial Equity Analysismentioning

confidence: 99%

Equitable distribution of growth for utilitarian and non-utilitarian infrastructure planning

Wismadi

Brussel

Zuidgeest

et al. 2015

Infrastruct. Complex

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To simultaneously address social equity and spatial equity, we develop a new type of preference modelling to distribute infrastructure resources that takes into account neighbourhood inequity effects. We compare this so-called spatial preference modelling (SPM) with the more common non-spatial preference modelling (NSPM) in terms of their compliance to two distinct perspectives of welfare theory, i.e., utilitarian and non-utilitarian welfare theory. With respect to utilitarian theory, we apply a total utility equality approach, whereas for non-utilitarian equality, we conduct a curve dominance analysis to evaluate the effect on (1) pro-poor policy, (2) inequity and (3) prosperity. A case study for the Special Region of Yogyakarta in Indonesia is used to show the difference in the effectiveness of SPM and NSPM in resolving resource allocation problems in the fields of transportation, electricity, telecommunication and freshwater infrastructures, four fields of infrastructure that differ in terms of their typology (point, linear, plane and space), initial level of development and spatial inequity. The results confirm that SPM complies better with both welfare theories than NSPM. Moreover, the curve dominance analysis reveals that infrastructure characteristics and the level of development contribute to model effectiveness. Hence, the findings can contribute to a more effective policy for equitable growth.

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The spatial distribution of broadband providers in the United States: 1999–2004

Cited by 57 publications

References 54 publications

Online Networks and Subjective Well‐Being

Online Networks and Subjective Well‐Being

Who’s Superconnected and Who’s Not? Investment in the UK’s Information and Communication Technologies (ICT) Infrastructure

Equitable distribution of growth for utilitarian and non-utilitarian infrastructure planning

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