Journal ArticleDOI
Mobile Telephony, Financial Inclusion and Inclusive Growth
TLDR
In this article, the authors employ the multipurpose nature of mobile telephony to investigate its welfare implications using a large sample of households in Ghana, using seemingly unrelated probit and instrumental features.Abstract:
The paper employs the multipurpose nature of mobile telephony to investigate its welfare implications using a large sample of households in Ghana. We use seemingly unrelated probit and instrumental...read more
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Inequality, ICT and financial access in Africa
TL;DR: In this article, the authors investigated the role of information and communication technology (ICT) on income inequality through financial development dynamics of depth (money supply and liquid liabilities), efficiency (at banking and financial system levels), activity (from banking and finance system perspectives) and size, in 48 African countries for the period 1996 to 2014.
Journal ArticleDOI
Foreign direct investment, information technology and economic growth dynamics in Sub-Saharan Africa
TL;DR: In this paper, the authors assess how information and communication technology (ICT) modulates the effect of foreign direct investment (FDI) on economic growth dynamics in 25 countries in Sub-Saharan Africa for the period 1980-2014.
Journal ArticleDOI
Fintech, financial inclusion and income inequality: a quantile regression approach
TL;DR: Although theory suggests that financial market imperfections, such as information asymmetries, market segmentation and transaction costs, prevent poor people from escaping poverty by limiting the ability to escape poverty as discussed by the authors.
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How enhancing information and communication technology has affected inequality in Africa for sustainable development :An empirical investigation
TL;DR: In this article, the authors examined if enhancing ICT reduces inequality in 48 countries in Africa for the period 2004-2014 and found that increasing internet penetration and fixed broadband subscriptions have a net effect on reducing the Gini coefficient and the Atkinson index.
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How Enhancing Information and Communication Technology has affected Inequality in Africa for Sustainable Development: An Empirical Investigation
TL;DR: In this article, the authors examined if enhancing ICT reduces inequality in 48 countries in Africa for the period 2004-2014 and found that increasing internet penetration and fixed broadband subscriptions have a net effect on reducing the Gini coefficient and the Atkinson index.
References
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Journal ArticleDOI
The long-run poverty and gender impacts of mobile money.
Tavneet Suri,William Jack +1 more
TL;DR: It is estimated that access to the Kenyan mobile money system M-PESA increased per capita consumption levels and lifted 194,000 households, or 2% of Kenyan households, out of poverty.
Journal ArticleDOI
Mobile phones and the evolution of social behaviour
TL;DR: It is argued that human and identity and social interaction have not been untouched by the mobile phenomenon, and notably the increasingly personalized nature of the mobile device.
Journal ArticleDOI
Financial Inclusion, Gender Dimension, and Economic Impact on Poor Households
TL;DR: In this article, the authors examined the impact of financial inclusion programs on poor households represented by women relative to that represented by men, and employed the difference-in-difference estimator approach with Panel Least Squares and Generalized Methods of Moments using standard errors.
Journal ArticleDOI
How has Mobile Phone Penetration Stimulated Financial Development in Africa
TL;DR: In the first macroeconomic empirical assessment of the relationship between mobile phones and finance, the authors examined the correlations between mobile phone penetration and financial development using two conflicting definitions of the financial system in the financial development literature.
Journal ArticleDOI
The role of governance in mobile phones for inclusive human development in Sub-Saharan Africa
TL;DR: In this article, the synergy effects of governance in mobile phone penetration for inclusive human development in Sub-Saharan Africa with data for the period 2000-2012 by employing a battery of interactive estimation techniques, namely: Fixed effects (FE), Generalised Method of Moments (GMM) and Tobit regressions.