The role of mobile money innovations in transforming unemployed women to self-employed women in sub-Saharan Africa
Simplice Asongu and
Sara le Roux
Technological Forecasting and Social Change, 2023, vol. 191, issue C
Abstract:
The study examines how mobile money innovations transform unemployed women to self-employed women. The empirical evidence is based on interactive quantile regressions focusing on data in 44 countries from sub-Saharan Africa for the period 2004 to 2018. The hypothesis that mobile money innovations transform female unemployment to female self-employment is tested. Eight mobile money innovation dynamics presented in four categories are employed.
Keywords: Mobile phones; Financial inclusion; Women; Inequality; Sub-Saharan Africa (search for similar items in EconPapers)
JEL-codes: G20 I10 I20 I32 O40 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523002330
Full text for ScienceDirect subscribers only
Related works:
Working Paper: The role of mobile money innovations in transforming unemployed women to self-employed women in sub-Saharan Africa (2023) 
Working Paper: The role of mobile money innovations in transforming unemployed women to self-employed women in sub-Saharan Africa (2023) 
Working Paper: The role of mobile money innovations in transforming unemployed women to self-employed women in sub-Saharan Africa (2023) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523002330
DOI: 10.1016/j.techfore.2023.122548
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).