2018
DOI: 10.1080/02255189.2018.1430021
|View full text |Cite
|
Sign up to set email alerts
|

Analyse empirique des antécédents de la pénétration de la téléphonie mobile en Afrique sub-saharienne

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 23 publications
0
3
0
Order By: Relevance
“…Lu et al [32,33] and Deville et al [34] have demonstrated that data collected by mobile phone network operators can be cost-effective in providing maps of the spatial and temporal distribution of the population. Indeed, mobile phones have a very high penetration rate in sub-Saharan Africa [35,36]. Analysing these data could help to locate the population and overcome many limitations of survey, census, and flow approaches.…”
Section: How To Estimate the Spatio-temporal Location Of The Population?mentioning
confidence: 99%
See 1 more Smart Citation
“…Lu et al [32,33] and Deville et al [34] have demonstrated that data collected by mobile phone network operators can be cost-effective in providing maps of the spatial and temporal distribution of the population. Indeed, mobile phones have a very high penetration rate in sub-Saharan Africa [35,36]. Analysing these data could help to locate the population and overcome many limitations of survey, census, and flow approaches.…”
Section: How To Estimate the Spatio-temporal Location Of The Population?mentioning
confidence: 99%
“…However, the high overall penetration rate masks huge inter-and intra-regional disparities. Sawadogo and Ammi [36] present mobile network coverage, population size, population education, population welfare, communication network regulation, competitive intensity and electricity network coverage as potential factors explaining mobile penetration rates in sub-Saharan Africa. These factors could explain the intra-urban disparity.…”
Section: How To Estimate the Spatio-temporal Location Of The Population?mentioning
confidence: 99%
“…Some researchers point out that the principal barriers to technology adoption in Africa are neither macroeconomic ones nor aspects related to the telecommunications sector. Instead, they are related to consumer behaviour, in particular being able to access mobile top-ups in rural areas (Sawadogo and Ammi, 2018).…”
Section: Sdgs and Information Access Challenges In Africamentioning
confidence: 99%