This study addresses the issue of financial innovation in developing countries, focusing specifically on the role fintechs have in closing the gender gap of financial inclusion in SubSaharan Africa (SSA) over the period 2011-2017. The empirical evidence is based on the multilevel tobit...

This study assesses financial determinants of informal financial sector development in 48 Sub-Saharan African countries for the period 1995-2017. Quantile regressions are used as the empirical strategy which enables the study to assess the determinants throughout the conditional distribution of...

While it is clear that financial depth and economic diversity are prerequisites for the realisation of growth and development objectives, heterogeneous factors that determines financial development remains imperfectly understood. This ambiguity in the structural relations between varied...

Purpose: Our study assesses financial development and debt status impact on energy efficiency in Nigeria as a developing economy. Methodology: We combined the Autoregressive Distributed Lag (ARDL), FMOLS, and CCR analytical methods to estimate the parameters for energy efficiency policy...

Our study assesses financial development and debt status impact on energy efficiency in Nigeria as a developing economy. We combined the Autoregressive Distributed Lag (ARDL), FMOLS, and CCR analytical methods to estimate the parameters for energy efficiency policy recommendations. Secondary...

This research assesses the importance of financial access on value added in three economic sectors in 25 countries in Sub-Saharan Africa using data for the period 1980-2014. The empirical evidence is based on the Generalised Method of Moments. Financial access is measured with private domestic...

The purpose of this study is to investigate whether enhancing financial access influences productivity in Sub-Saharan Africa. The research focuses on 25 countries in the region with data for the period 1980-2014. The adopted empirical strategy is the Generalised Method of Moments. The credit...

This study uses machine learning techniques to identify the key drivers of financial development in Africa. To this end, four regularization techniques- the Standard lasso, Adaptive lasso, the minimum Schwarz Bayesian information criterion lasso, and the Elasticnet are trained based on a dataset...

This chapter examines how the Covid-19 pandemic has affected financial development and financial inclusion in African countries. The study provides both broad perspectives and country-specific frameworks based on selected country cases studies. Some emphasis is placed on the achievement of...