The consumption, income, and wealth of the poorest: An empirical analysis of economic inequality in rural and urban Sub-Saharan Africa for macroeconomists

Magalhaes, Leandro de; Santaeulàlia-Llopis, Raül

doi:10.1016/j.jdeveco.2018.05.014

Cited by 55 publications

(32 citation statements)

References 77 publications

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“…The positioning of this study also departs from recent inclusive development literature that has focused on, inter alia: the relationship between foreign investment and income inequality (Kaulihowa & Adjasi, 2018); nexuses between consumption, income and the wealth of the most poor in SSA (De Magalhães & Santaeulàlia-Llopis, 2018); linkages between corruption and inequality (Sulemana & Kpienbaareh, 2018); gender inequality (Bayraktar & Fofack, 2018;Mannah-Blankson, 2018;Elu, 2018); connections between information sharing, education, finance and inequality (Tchamyou, 2020(Tchamyou, , 2019; and understanding the poverty tragedy of SSA in the light of dominant paradigms of economic development (Asongu & le Roux, 2019).…”

Section: Introductionmentioning

confidence: 80%

The role of globalization in modulating the effect of environmental degradation on inclusive human development

Asongu

Odhiambo

2020

Innovation: The European Journal of Social Science Research

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This study assesses how globalisation modulates the effect of environmental degradation on inclusive human development in 44 countries in Sub-Saharan Africa (SSA), using data for the period 2000 to 2012. The empirical results are based on the Generalized Method of Moments (GMM). The following main findings are established. First, a trade openness (imports + exports) threshold of between 80-120% of GDP is the maximum level required for trade openness to effectively modulate CO 2 emissions (metric tonnes per capita) and induce a positive effect on inclusive human development. Second, a minimum threshold required for trade openness to modulate CO 2 intensity (kg per kg of oil-equivalent energy use) and induce a positive effect on inclusive human development is 200% of GDP. Third, there is a net positive effect on inclusive human development from the relevance of trade openness in modulating the effect of CO 2 emissions per capita on inclusive human development and a negative net effect on inclusive human development from the importance of trade openness in moderating the effect of CO 2 intensity on inclusive human development. JEL Classification: C52; O38; O40; O55; P37

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Section: Introductionmentioning

confidence: 80%

The role of globalization in modulating the effect of environmental degradation on inclusive human development

Asongu

Odhiambo

2020

Innovation: The European Journal of Social Science Research

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“…Third, the recent inequality literature has focused on, inter aliathe nexus between foreign investment and income inequality (Kaulihowa & Adjasi, 2018); relationships between consumption, income, and the wealth of the poorest factions in Sub-Saharan Africa (De Magalhães & Santaeulàlia-Llopis, 2018); nexus between corruption and inequality (Sulemana & Kpienbaareh, 2018); gender inequality (Bayraktar & Fofack, 2018;Elu, 2018;Mannah-Blankson, 2018); reinvention of foreign aid for inclusive development (Asongu, 2016;Jones & Tarp, 2015;Page & Söderbom, 2015); and relationships between information sharing, education, finance, and inequality (Meniago & Asongu, 2018;Tchamyou, 2018aTchamyou, , 2018b.…”

Section: Introductionmentioning

confidence: 99%

How enhancing information and communication technology has affected inequality in Africa for sustainable development: An empirical investigation

Asongu

Odhiambo

2019

Sustainable Development

214

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This study examines if enhancing information and communication technology reduces inequality in 48 countries in Africa for the periods 2004–2014. Three inequality indictors are used, namely, the Gini coefficient, Atkinson index, and Palma ratio. The adopted information and communication technology indicators include mobile phone penetration, internet penetration, and fixed broadband subscriptions. The empirical evidence is based on the generalised method of moments. Enhancing internet penetration and fixed broadband subscriptions has a net effect on reducing the Gini coefficient and the Atkinson index, whereas increasing mobile phone penetration and internet penetration reduces the Palma ratio. Policy implications are discussed in the light of challenges to Sustainable Development Goals.

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“…This research extends the former strand of the literature by investigating the relevance of enhancing insurance on inequality because of an apparent gap in the inequality literature. Accordingly, the contemporary inequality literature on Africa has focused on inter alia: the nexuses between finance, education and inequality (Meniago & Asongu, 2018;Tchamyou, 2019Tchamyou, , 2020; the reinvention of foreign aid for inclusive development (Page & Söderbom, 2015;Jones & Tarp, 2015;Asongu, 2016); the relationships between inequality and corruption (Sulemana & Kpienbaareh, 2018); the nexuses between income, consumption and wealth of poor segments of society (De Magalhães & Santaeulàlia-Llopis, 2018); and the connection between inequality and foreign investment (Kaulihowa & Adjasi, 2018).…”

Section: Introductionmentioning

confidence: 99%

Insurance and inequality in Sub‐Saharan Africa: policy thresholds

Asongu¹,

Odhiambo²

2019

Int Social Sci J

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In this study, we examine how insurance affects income inequality in sub-Saharan Africa, using data from 42 countries during the period 2004-2014. Three inequality variables are used, namely: the Gini coefficient, the Atkinson index and the Palma ratio. Two insurance premiums are employed, namely: life insurance and non-life insurance. The empirical evidence is based on the Generalized Method of Moments (GMM). Life insurance increases the Gini coefficient and increasing life insurance has a net positive effect on the Gini coefficient and the Atkinson index. Non-life insurance reduces the Gini coefficient and increasing non-life insurance has a net positive effect on the Palma ratio. The analysis is extended to establish policy thresholds at which increasing insurance premiums completely dampen the net positive effects. From the extended analysis, 7.500 of life insurance premiums (% of GDP) is the critical mass required for life insurance to negatively affect inequality, while 0.855 of non-life insurance premiums (% of GDP) is the threshold required for non-life insurance to negatively affect inequality. Policy thresholds are provided at which insurance penetration decreases income inequality in sub-Saharan Africa.

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The consumption, income, and wealth of the poorest: An empirical analysis of economic inequality in rural and urban Sub-Saharan Africa for macroeconomists

Cited by 55 publications

References 77 publications

The role of globalization in modulating the effect of environmental degradation on inclusive human development

The role of globalization in modulating the effect of environmental degradation on inclusive human development

How enhancing information and communication technology has affected inequality in Africa for sustainable development: An empirical investigation

Insurance and inequality in Sub‐Saharan Africa: policy thresholds

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