Africa like other developing continents has the representation of limiting gaps of foreign exchange, investment and human capital skills. Sustainable development emphasizes that for the limits of both foreign exchange and savings to be reduced, there is need for Foreign Direct Investment (FDI) to flow inclusive of, foreign skills and technology diffusion for economic development. The objective of the research is to determine how the gaps of foreign exchange, investment and human capital skills has been reduced through the influx of foreign investment for the African economies. Pooled panel data between 2000 and 2018 was utilized for 39 African countries, and analysed with the fixed effect regression model. The results indicate that the influx of FDI has not brought about sufficient decline in the gaps for the selected African economies. The study recommends that government of developing countries need to select with care industries that foreign capital flows into in order to ensure tangible effect on investment domestically as well as deter crowding-out of capital. Furthermore, strategies on protection of domestic ABOUT THE AUTHORS Folasade Bosede Adegboye (Ph.D.) is a researcher and lecturer in the Banking and Finance Department of Covenant University, with special interest in foreign capital flows, international economics, effects on economic growth and development in Africa.Tolulope Femi Adesina (Ph.D.) also, is a researcher and lecturer in the Banking and Finance Department of Covenant University, with special interest in financial development and financial management.Stephen Aanu Ojeka (Ph.D.) currently works at the Accounting Department, Covenant University. Stephen does research in corporate governance, audit committee and accounting technologies.Victoria Abosede Akinjare (Ph.D.) currently works in the Banking and Finance Department as a lecturer and researcher. Her research interest is in real sector finance, small and medium enterprises finance and agricultural finance.

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It is important to fit count data with suitable model(s), models such as Poisson Regression, Quassi Poisson, Negative Binomial, to mention but a few have been adopted by researchers to fit zero truncated count data in the past. In recent times, dedicated models for fitting zero truncated count data have been developed, and they are considered sufficient. This study proposed Bayesian multi-level Poisson and Bayesian multi-level Geometric model, Bayesian Monte Carlo Markov Chain Generalized linear Mixed Models (MCMCglmms) of zero truncated Poisson and MCMCglmms Poisson regression model to fit health count data that is truncated at zero. Suitable model selection criteria were used to determine preferred models for fitting zero truncated data. Results obtained showed that Bayesian multi-level Poisson outperformed Bayesian multi-level Poisson Geometric model; also MCMCglmms of zero truncated Poisson outperformed MCMCglmms Poisson.

Energy challenge in Nigeria is really disturbing due to many factors that borders on the inability of the national grid to meet-up with the huge energy demands in the most populated country in Africa. About 85% industries and domestic users patronize fossil fuel generators. This development had increased the air pollution load over the country. In this research, fourteen years dataset from the Nigeria Metrological Agency (NIMET) was used to simulate the energy accruable from solar energy in Nigeria. The study is poised to enhance higher patronage of solar technology in the research site.

There have been concerns globally as to whether taking COVID-19 vaccination is harmful or not. In this study, we conducted an online survey to measure the knowledge and attitude of people, first about COVID-19, and second about COVID-19 vaccination—various analyses such as descriptive statistics, logistic regression, and support vector regression with k-fold cross-validation. The support vector machine and tuned support vector machine suggest a better fit based on cross-validation error. The results show that immigration requirements significantly explain why an individual would accept the COVID-19 vaccine. This study suggests that people in authority should look into people's concerns regarding taking the COVID-19 vaccine and address them accordingly. The study aims to draw the attention of the people to the concern that surrounds taking COVID-19 vaccination and explored various statistical techniques to draw inference.