2020
DOI: 10.1016/j.telpol.2020.102000
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Understanding the greater diffusion of mobile money innovations in Africa

Abstract: The present research extends Lashitew, van Tulder and Liasse (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a c… Show more

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Cited by 69 publications
(65 citation statements)
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“…Over the past two decades, the world has accomplished interesting results in fighting poverty which has decreased considerably in most developing countries with the exception of Africa where about half of the continent did not attain the millennium development goal target of decreasing extreme poverty by half (Asongu & le Roux, 2019;Tchamyou et al, 2019aTchamyou et al, , 2019bAsongu et al, 2020). Since 1990, the share of the World's population living below the extreme International Poverty Line of US$1.90 per day has largely decreased.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past two decades, the world has accomplished interesting results in fighting poverty which has decreased considerably in most developing countries with the exception of Africa where about half of the continent did not attain the millennium development goal target of decreasing extreme poverty by half (Asongu & le Roux, 2019;Tchamyou et al, 2019aTchamyou et al, , 2019bAsongu et al, 2020). Since 1990, the share of the World's population living below the extreme International Poverty Line of US$1.90 per day has largely decreased.…”
Section: Introductionmentioning
confidence: 99%
“…The data is obtained from four principal sources, notably, the: proliferation that are likely to bias the estimation output by producing results with unexpected signs. It is apparent that the correlation between the two financial access proxies which is 0.777 exceeds all documented thresholds for establishing the concern of multicollinearity, notably: (i) 0.500 as suggested by Wichers (1975) andO'brien (2007); (ii) 0.700 by Kennedy (2008) and (ii) an average (or 0.600) of the two contending values as employed by Asongu et al (2020). Consistent with Tchamyou (2019), the underlying concern of multicollinearity is addressed by employing the financial access variables in distinct specifications.…”
Section: Datamentioning
confidence: 89%
“…The adopted multicollinearity threshold of .600 is consistent with debates in the literature on multicollinearity thresholds: “an extended analysis is engaged in order to take on board the concern about multicollinearity. A threshold of .600 is used because it is the average of .500 suggested by Wichers (1975) and, .700 posited by Kennedy (2008)” (Asongu, Biekpe, and Cassimon 2020, 5).…”
Section: Methodsmentioning
confidence: 99%