Revisiting the drivers of electricity consumption in designated Sub-Saharan African regions: Unraveling the role of education.

It has been established that steady supply of energy to various sectors of the economy is critical for societal growth and development. According to recent figures, barely one-third of the whole population in Sub-Saharan Africa has access to electricity, making the region the poorest in the world in terms of access to electrical power today. This stands in stark contrast to the vast energy resources that could be utilized to provide the necessary energy.

Does obesity Kuznets curve exist in developing economies? Evidence from 38 African countries based on heterogeneous panel data analysis on income-level classification.

Introduction: The global pandemic disease known as the obesity epidemic has spread throughout the planet. Particularly, Africa is facing a growing problem of obesity, and the trend is rising. This is a result of a ticking time bomb.

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method.

In this extant paper, a multivariate time series model using the seemingly unrelated times series equation (SUTSE) framework is proposed to forecast the peak and short-term electricity demand using time series data from February 2, 2014, to August 2, 2018. Further the Markov Chain Monte Carlo (MCMC) method, Gibbs Sampler, together with the Kalman Filter were applied to the SUTSE model to simulate the variances to predict the next day's peak and electricity demand. Relying on the study results, the running ergodic mean showed the convergence of the MCMC process.

Teamwork quality and health workers burnout nexus: a new insight from canonical correlation analysis.

Background: Burnout is evidenced to have  adverse effect on the well-being of health workers. Although several risk factors of burnout have been found, only a hand full of studies have examined the role of teamwork quality. This study therefore sought to explore the relationship between the sub-dimensions of burnout and teamwork quality.

Reinvestigating the pollution haven hypothesis: the nexus between foreign direct investments and environmental quality in G-20 countries.

One of the most commonly debated concerns regarding foreign direct investment inflows is the associated environmental adversities that accompany the influx of foreign funds. As a result, assessing the environmental impacts of foreign direct investment inflows is necessary for achieving environmentally friendly economic growth in the contemporary era. Accordingly, the global economies including the members of the Group of Twenty (G-20) should focus on attracting clean foreign direct investments.

Potential economic indicators and environmental quality in African economies: new insight from cross-sectional autoregressive distributed lag approach.

Growing economic development and substantial demographic shifts may have a momentous consequence on environmental quality in a number of African countries. Consequently, this recent study offers the opportunity to explore the nexus among unobserved influential economic indicators and environmental quality (measured through CO emissions) in a panel of 26 African economies spanning from 1990 to 2018. The aggregated panel is sub-classified into net exporters (NEC) and net importers (NIC) of embodied carbon.

Estimation of the return periods of maxima rainfall and floods at the Pra River Catchment, Ghana, West Africa using the Gumbel extreme value theory.

The Pra river catchment in Ghana is adversely affected by perennial flooding from high-intensity rainfall events. To aid in flood management at the catchment, the Gumbel extreme value distribution has been used to estimate the return periods of maxima rainfall, flood, and consecutive dry and wet days (CDD and CWD) for a period of 5 to 100 years. The results revealed an expected increase in maxima rainfall, CDD and CWD.

Investigation on key contributors of energy consumption in dynamic heterogeneous panel data (DHPD) model for African countries: fresh evidence from dynamic common correlated effect (DCCE) approach.

The main aim of this current study is to empirically scrutinize the determinants of energy consumption for 24 African countries sub-grouped into three panels based on income levels: low-, lower-middle-, and upper-middle-income countries, from 1990 to 2015. Due to the presence of heterogeneity and cross-sectional reliance among country groups, recently developed econometric approaches, which include cross-sectional Im, Pesaran, and Shin together with cross-sectional Augmented Dickey-Fuller stationarity tests, Pedroni and Westerlund-Edgerton cointegration assessment, dynamic common correlated effect estimation approach and Dumitrescu-Hurlin Granger causality test are employed. Empirically, our findings depict analyzed variables are stationary and characterized by long-term stability affiliations for all panels.

Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana.

Malaria is the leading cause of morbidity in Ghana representing 40-60% of outpatient hospital attendance with about 10% ending up on admission. Microscopic examination of peripheral blood film remains the most preferred and reliable method for malaria diagnosis worldwide. But the level of skills required for microscopic examination of peripheral blood film is often lacking in Ghana.