2016
DOI: 10.1016/j.worlddev.2016.05.012
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The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa

Abstract: This study assesses the mobile phone in the diffusion of knowledge for better governance in JEL Classification: G20; O38; O40; O55; P37

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Cited by 372 publications
(141 citation statements)
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References 69 publications
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“…The study employs principal component analysis (PCA) for bundling governance variables (see Asongu and Nwachukwu 2016b). The PCA is a statistical technique that is used to reduce a set of highly correlated variables into a smaller set of uncorrelated indicators called principal components (PCs).…”
Section: Principal Component Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The study employs principal component analysis (PCA) for bundling governance variables (see Asongu and Nwachukwu 2016b). The PCA is a statistical technique that is used to reduce a set of highly correlated variables into a smaller set of uncorrelated indicators called principal components (PCs).…”
Section: Principal Component Analysismentioning
confidence: 99%
“…The interest of bundling and unbundling institutions derives from recent evidence that the distinction as well as simultaneous consideration of governance indicators provide more room for more policy implications (see Asongu and Nwachukwu 2016b).…”
Section: Introductionmentioning
confidence: 99%
“…mobile phone and internet penetrations), there is great room for its penetration in Africa (see Penard et al, 2012;Asongu & Nwachukwu, 2016a). It implies that policy can harness such potential for penetration in order to tackle development issues, inter alia: limited financial access.…”
Section: Introductionmentioning
confidence: 99%
“…The positioning of this study contributes to the bulk of literature on the relevance of information technology for inclusive development, notably: socio-economic development in rural areas (Baro & Endouware, 2013); poverty concerns in urban areas (Omole, 2013) as well as community development issues in rural areas (Breytenbacha et al, 2013); education, social and human development (Shraima & Khlaifb, 2010;Gudmundsdottir, 2010;Nkansah & Urwin, 2010;Negash, 2010;Brunello, 2010;Krauss, 2013); social change and development outcomes (Brouwer & Brito, 2012;Mira & Dangersfield, 2012;Islama & Meadeb, 2012); enhancement of institutions (Asongu & Nwachukwu, 2016a) and inclusive human development (Asongu & Nwachukwu, 2016b). Hence, this inquiry complements that growing body of literature on distributional externalities (Cozzens, 2011).…”
mentioning
confidence: 99%
“…Overall, this interpretation is buttressed further by the fact that the recent growth resurgence in Africa that began in the mid 1990s has not benefited the poor (Fosu, 2015). In fact, a World Bank report on Millennium Development Goals (MDGs) has revealed that the extreme poverty been decreasing in all regions of the world with the exception of Africa where 45% of countries in SSA were susbtantially off-track from the MDG extreme povery target (Asongu & Nwachukwu, 2016b). While population and economic growth have demoted ICT adoption, openness to trade and human capital accumulation enhance ICT adoption in these countries.…”
Section: Resultsmentioning
confidence: 99%