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The impact of mobile phone penetration on African inequality
Abstract
Purpose: – The purpose of this paper is to complement theoretical and qualitative literature with empirical evidence on the income-redistributive effect of mobile phone penetration in 52 African countries. Design/methodology/approach: – Robust ordinary least squares and two stage least squares empirical strategies are employed. Findings: – The findings suggest that mobile penetration is pro-poor, as it has a positive income equality effect. Social implications: – “Mobile phone”-oriented poverty reduction channels are discussed. Originality/value: – It deviates from mainstream country-specific and microeconomic survey-based approaches in the literature and provides the first macroeconomic assessment of the “mobile phone”-inequality nexus.
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Citations
Cited by
Inequality, ICT and financial access in Africa
Tchamyou, V. S., Erreygers, G., & Cassimon, D. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.11.004 · Cited by 653
Enhancing ICT for inclusive human development in Sub-Saharan Africa
Asongu, S. A., & Le Roux, S. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.01.026 · Cited by 406
Self-citationThe role of governance in mobile phones for inclusive human development in sub-Saharan Africa
Asongu, S. A., & Nwachukwu, J. C. (2016) · Technovation · doi:10.1016/j.technovation.2016.04.002 · Cited by 280
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Metadata
- Authors
- Asongu, S.
- Venue
- International Journal of Social Economics
- Publisher
- Emerald
- Published
- 2015-08-10
- Volume
- 42
- Issue
- 8
- Pages
- 706-716
- ISSN
- 0306-8293 (ISSN-L)
- OpenAlex
- W3021003711
- Cited by
- 192
- References
- 0
- FWCI
- 44.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Asongu, S. (2015). The impact of mobile phone penetration on African inequality. International Journal of Social Economics. https://doi.org/10.1108/ijse-11-2012-0228
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.