Broadband un-adopters

Whitacre, Brian E.; Rhinesmith, Colin

doi:10.1016/j.telpol.2015.11.008

Cited by 27 publications

(19 citation statements)

References 23 publications

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“…Regarding nonmetro areas, the adoption metric (pNIA) played a significant role on labor productivity. Policies targeting adoption in rural areas may result in an increase in labor productivity, although recent studies have shown that achieving increases in adoption is difficult (Hauge and Prieger 2010;Manlove and Whitacre 2019;Whitacre and Rhinesmith 2016). Likewise, the DDI infrastructure/adoption (INFA) subcomponent also had a significant impact as did the socioeconomic subcomponent (SE).…”

Section: Discussionmentioning

confidence: 99%

Broadband metrics and job productivity: a look at county-level data

et al. 2020

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The impact of broadband access and use continues to transform the socioeconomic landscape placing this twenty-first century infrastructure at the center of current policymaking discourse. Past studies have found a relationship between infrastructure investments and economic productivity. Recent broadband-related studies, however, have focused on general availability or adoption, and do not distinguish which specific aspect of the technology is most associated with productivity. Utilizing crosssectional county-level data from 2017 and spatial econometric models, this research looked into better understanding the impact of multiple broadband indicators on job productivity, including innovative broader measures of digital inclusion. Results indicate that broader metrics focused on adoption or digital distress had a larger positive impact on job productivity in comparison to measures focused on speed or availability. Moreover, these impacts vary across urban and rural settings. Although the relationships identified are not necessarily causal, an alternative matching technique generally supports the results. These findings suggest that the relationship between broadband and economic productivity should be viewed from a larger, more comprehensive socioeconomic perspective. Future research should focus on looking at these effects over time and assess how policies focused on specific broadband characteristics have impacted growth.

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Section: Discussionmentioning

confidence: 99%

Broadband metrics and job productivity: a look at county-level data

et al. 2020

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“…Even if these were available, it would not necessarily mean that households adopted and are using broadband. Studies of un-adopters of broadband certainly highlight that not all people will adopt broadband for cost or use issues, even if available [ 60 ]. Blending each of these distinct terms can lead to confusion as to the interpretation of the BITS.…”

Section: Discussionmentioning

confidence: 99%

A broadband integrated time series (BITS) for longitudinal analyses of the digital divide

Mack

Helderop

et al. 2021

PLoS ONE

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To evaluate actions taken to implement the Telecommunications Act of 1996, the primary goal of which was to foster competition in the industry, the FCC created a standardized form (Form 477) to collect information about broadband deployment and competition in local telephone service. These data represent the best publicly available record of broadband provision in the United States. Despite the potential benefits offered by this database, there are several nuances to these data related to shifting geographies and reporting requirements that uncorrected, prevent them from being used as an uninterrupted time series for longitudinal analyses. Given the analytical challenges associated with the FCC Form 477 data, the purpose of this paper is to present a solution to the fragmented nature of these data which prevents meaningful longitudinal analyses of the digital divide. Specifically, this paper develops and describes a procedure for producing an integrated broadband time series (BITS) for the last decade (2008–2018). This includes the procedures for using these data, their value to social and economic analysis, and their underlying limitations. The core contribution of this paper is the creation of data infrastructure for investigating the evolution of the digital divide.

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“…As the percentage of ICT "non-adopters" has shrunk, an even smaller share among them has risen -households who have discontinued their use of ICT -so-called "unadopters" (Dailey et al, 2010). Un-adopters comprised about 3.3 percent of all households and about 12.1 percent of non-adopters in 2013 (Whitacre and Rhinesmith, 2016). They are notable because the calculus of these households apparently reveals that their relevant costs of residential broadband connection outweighs its benefits to them.…”

Section: Poverty's Trend Drivers: Access To It and Automentioning

confidence: 99%

Poverty, the U.S. South, and the SRSA

Lahr¹

2020

Review of Regional Studies

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This paper is a broad expansion of an SRSA Research Fellows Address presented in Roslyn, Virginia on April 16 th , 2019. In it, I extol the virtues of poverty research, particularly that focused on the U.S. where households living on less than $4/day/person compose the largest shares of county populations. I note that two factors that are the hallmark of such extreme poverty -lack of a vehicle and lack of internet service -are forcing poor household to perceive themselves as ever more isolated, for greater accessibility for the rest of the U.S. population amplifies the gap created by their deficiency. This is because others expect everyone has such access. Southern areas with persistent poverty -the Black Belt, the Mississippi Delta, and Appalachia -have concentrations of such extreme poor and also have deficient access to the rest of the world. I suggest that Americans should find away to ameliorate this condition. I conclude by encouraging my SRSA colleagues to do what they do best, but with a poverty tilt, as a means of petitioning policy makers and the public.

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Broadband un-adopters

Cited by 27 publications

References 23 publications

Broadband metrics and job productivity: a look at county-level data

Broadband metrics and job productivity: a look at county-level data

A broadband integrated time series (BITS) for longitudinal analyses of the digital divide

Poverty, the U.S. South, and the SRSA

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