Mobile Broadband Internet, Poverty and Labor Outcomes in Tanzania

Bahia, Kalvin; Castells, Pau; Cruz, Genaro; Masaki, Takaaki; Rodríguez‐Castelán, Carlos; Sanfelice, Viviane

doi:10.1596/1813-9450-9749

Cited by 14 publications

(13 citation statements)

References 30 publications

(17 reference statements)

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“…In Peru, Beuermann, McKelvey, and Vakis (2012) find that mobile phone expansion increased household consumption by 11 percent and reduced poverty and extreme poverty by 8 and 5.4 percentage points, respectively. These results are similar in magnitude to those of Bahia et al (2021) in Nigeria. In terms of labor market outcomes, Viollaz and Winkler (2020) show that, in Jordan, access to mobile broadband increases labor force participation among women, inducing a reduction in genderbiased social norms, marriage, and fertility.…”

Section: B O X 3 : Esupporting

confidence: 82%

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Determinants and Welfare Impacts of Mobile Internet Adoption in African Countries

Rodríguez‐Castelán¹,

Pierola²

2022

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The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent.The World Bank does not guarantee the accuracy, completeness, or currency of the data included in this work and do not assume responsibility for any errors, omissions, or discrepancies in the information, or liability with respect to the use of or failure to use the information, methods, processes, or conclusions set forth. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved.

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Section: B O X 3 : Esupporting

confidence: 82%

“…Sources:Bahia et al 2020Bahia et al , 2021Masaki, Granguillhome Ochoa, and Rodríguez-Castelán 2020. Note: (+), (-) = the sign of the coefficient in baseline estimations.…”

mentioning

confidence: 99%

Determinants and Welfare Impacts of Mobile Internet Adoption in African Countries

Rodríguez‐Castelán¹,

Pierola²

2022

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“…If a location is covered by the 3G network, it is in fact also covered by 2G. Hence, controlling for 2G should isolate the net contribution of the 3G technologies (a similar strategy is adopted by Bahia et al 2021).…”

Section: Itmentioning

confidence: 99%

“…However, evidence on this is more nuanced. Bahia et al (2021) find that, in the United Republic of Tanzania, it is mainly the better educated workers who take advantage of improvements in mobile connectivity. Hjort and Poulsen (2019), on the other hand, show that the arrival of fast internet in Africa has benefitted both poorly and more highly educated workers, although the latter have gained the greater benefit.…”

Section: Introductionmentioning

confidence: 97%

Mobile internet, skills and structural transformation in Rwanda

Caldarola¹,

Grazzi²,

Occelli³

et al. 2022

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This paper examines the relationship between mobile internet, employment and structural transformation in Rwanda. Thanks to its ability to enable access to a wide range of ICT technologies, internet coverage has the potential to affect the dynamics and the composition of employment significantly. To demonstrate this, we have combined GSMA network coverage maps with individual-level information from national population censuses and labour force surveys, creating a district-level dataset of Rwanda that covers the period 2002 to 2019. Our results show that an increase in mobile internet coverage affects the labour market in two ways. First, by increasing employment opportunities. Second, by contributing to changes in the composition of the labour market. Education, migration and shifts in demand are all instrumental in explaining our findings.

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“…Togo was unusually creative (Blumenstock, 2021), exploiting sources such as satellite imagery to identify poor communities based on population density and activity (Yeh et al, 2020), and mobile phone data to assess consumption patterns (Aiken et al, 2021;Bahia et al, 2021). Like the technology and the data underlying it, digital modernity itself is unevenly distributed, and the European and American experiences don't translate easily to those parts of the world from which the Internet's future growth must be expected.…”

Section: A Note On Western-centrismmentioning

confidence: 99%

Digital Modernity

O’Hara

2022

FNT in Web Science

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Modernity" is a social, cultural or historical descriptor for a certain type of society or set of social arrangements. This monograph reviews narratives of digital modernity, without endorsing them; as narratives, they selectively discuss aspects of our sociotechnical context, descriptively, teleologically or normatively. Digital modernity narratives focus on the possibilities of the data gathered by an ambient data infrastructure, enabled by ubiquitous devices such as the smartphone, and activities such as social networking and e-commerce. Some emphasise continuities with 20th century modernity narratives, while others emphasise discontinuity, such as theories of the singularity. Digital modernity is characterised by: a subjunctive outlook where people's choices can be anticipated and improved upon; the valorisation of disruptive innovation on demand; and control provided by data analysis within a virtual realm (cyberspace or the metaverse) which can be extended and applied to the physical world (in such applications as the quantified self and the smart city). The synergies and tensions between these three aspects are explored, as are the opportunities for and dilemmas posed by misinformation. Five principles emerge from the study of relevant texts and business models: (1) the quantity of data being produced in the world has enabled, and been enabled by, technological, social, economic and

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Mobile Broadband Internet, Poverty and Labor Outcomes in Tanzania

Cited by 14 publications

References 30 publications

Determinants and Welfare Impacts of Mobile Internet Adoption in African Countries

Determinants and Welfare Impacts of Mobile Internet Adoption in African Countries

Mobile internet, skills and structural transformation in Rwanda

Digital Modernity

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