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The present study investigates the incidence of financial institutions' dynamics of depth and access in the effect of income inequality on poverty and the severity of poverty in 42 sub‐Saharan African countries from 1980 to 2019. The Gini index is used to measure income inequality while poverty is measured as the poverty headcount ratio, and the severity of poverty is generated as the square of the poverty gap index. An interactive quantile regression approach is used as an empirical strategy. Income inequality unconditionally increases poverty dynamics while the financial institutions' depth and access mitigate the adverse effects of income inequality on poverty dynamics. Financial institutions' policy thresholds or minimum financial institution levels needed to completely dampen the adverse effects of income inequality on poverty dynamics are provided. The findings are contingent on existing levels of poverty, poverty measurement, and proxies for financial institutions. Policy implications are discussed. Related Articles: Abdulai, Abdul‐Gafaru, Justice Nyigmah Bawole, and Emmanuel Kojo Sakyi. 2018. "Rethinking Persistent Poverty in Northern Ghana: The Primacy of Policy and Politics over Geography." Politics & Policy 46(2): 233–62. https://doi.org/10.1111/polp.12250. Adegboye, Alex, Kofo Adegboye, Uwalomwa Uwuigbe, Stephen Ojeka, and Eyitemi Fasanu. 2023. "Taxation, Democracy, and Inequality in Sub‐Saharan Africa: Relevant Linkages for Sustainable Development Goals." Politics & Policy 51(4): 696–722. https://doi.org/10.1111/polp.12547. Nchofoung, Tii, Simplice Asongu, Vanessa Tchamyou, and Ofeh Edoh. 2022. "Gender, Political Inclusion, and Democracy in Africa: Some Empirical Evidence." Politics & Policy 51(1): 137–55. https://doi.org/10.1111/polp.12505. [ABSTRACT FROM AUTHOR]

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Purpose: This paper aims to analyse the extent to which households are deprived (or otherwise) of clean energy sources in Ghana. Design/methodology/approach: It engages the Ghana Demographic and Health Survey data. Three different energy deprivation indicators were estimated: cooking fuel deprivation, lighting deprivation and indoor air pollution. The empirical evidence is based on logit regressions that explain whether households are deprived or not. Findings: The results show that energy deprivation or access is contingent on the area of residence. Energy access and deprivation in Ghana show some regional disparities, even though across every region, the majority of households use three fuel types: liquefied petroleum gas, charcoal and wood cut. Increases in wealth and education lead to reduction in the likelihood of being energy deprived. Thus, efforts should be geared towards policies that will ensure households having access to clean fuels to reduce the attendant deprivations and corresponding effects of using dangerous or dirty fuels. Originality/value: This study complements the extant literature by analysing the extent to which households are deprived (or otherwise) of clean energy sources in Ghana. [ABSTRACT FROM AUTHOR]