2022
DOI: 10.1108/srj-07-2022-0277
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Digital divide, globalization and income inequality in sub-Saharan African countries: analysing cross-country heterogeneity

Abstract: Purpose This study aims to analyse the impact of digital divide (DD) on income inequality in sub-Saharan Africa over the period 2004–2016. Design/methodology/approach In applying a finite mixture model (FMM) to a sample of 35 sub-Saharan African (SSA) countries, this study posits that DD affects income inequality differently. Findings The findings show that the effect of DD on income inequality varies across two distinct groups of countries, which differ according to their level of globalization. In additi… Show more

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Cited by 14 publications
(7 citation statements)
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“…The above theoretical underpinnings are consistent with technology adoption models, especially as it pertains to the nexus between information technology and inclusive development (Ndoya & Asongu, 2021). The three fundamental theories which are in accordance with those discussed previously are: the theory of reasoned action (TRA), theory of planned behavior (TPB) and technology acceptance model (TAM).…”
Section: Theoretical Frameworksupporting
confidence: 78%
“…The above theoretical underpinnings are consistent with technology adoption models, especially as it pertains to the nexus between information technology and inclusive development (Ndoya & Asongu, 2021). The three fundamental theories which are in accordance with those discussed previously are: the theory of reasoned action (TRA), theory of planned behavior (TPB) and technology acceptance model (TAM).…”
Section: Theoretical Frameworksupporting
confidence: 78%
“…It is found in the work of Ngono (2021c), who studies the impact of women's empowerment on income inequality in Sub-Saharan Africa. It is also found in the work of Ndoya and Asongu (2022) who determine the effects of the digital divide on income inequalities in Sub-Saharan Africa. This variable can be mobilised using data from the Global Consumption and Income Project (GCIP) by Lahoti et al (2016).…”
Section: Data and Variablesmentioning
confidence: 86%
“…The digital revolution like several other revolutions before it has created winners and losers (Ramalingam, 2016). Although the rapid deployment of technologies has created opportunities for many vulnerable groups, this digital revolution has also brought about unequal access to technologies (Ndoya and Asongu, 2022). The increasing deployment of digital technologies in cities places additional pressure on vulnerable groups that are most exposed to the negative impacts of the digital transformation of cities (UN-Habitat, 2021).…”
Section: Digital Inclusion Of Vulnerable Groupsmentioning
confidence: 99%