Modeling the determinants of renewable energy consumption: Evidence from the five most populous nations in Africa

Aurthors: Olalekan J. Akintande; Olusanya E.Olubusoye; Adeola Adenikinju, & Busayo T. Olanrewaju


The increasing concern over global warming and energy security has rejuvenated the renewable energy option as the most vibrant option to sustaining future energy needs. This paper developed a reneRead Morewable energy consumption model using annual data spanning between 1996 and 2016 in the five most populous countries (Ethiopia, South Africa, Nigeria, DR Congo, and Egypt) in Africa. Following the existing literature on the subject, the driving factors investigated were categorized into three broad areas. These include macroeconomic, socioeconomic, and institutional variables. Altogether, thirty-four predictor variables are analyzed. The study employed Bayesian Model Averaging (BMA) procedures to account for the uncertainty associated model choice and variable selection. The results of the analysis indicate that population growth, urban population, energy use, electric power consumption, human capital are the main determinants of renewable energy consumption in the selected countries. Also, an increase in any of these determinants (population growth, urban population, energy demand/use, electricity power demand/consumption) causes an increase in renewable energy consumption. Read Less

Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa

Aurthors: Olalekan J. Akintande & Olusanya E.Olubusoye


The dataset investigates the magnitude of the misinformation content influencing scepticisms about the novel COVID-19 pandemic in Africa. The data is collected via an electronic questionnaire metRead Morehod and twenty-one Africa countries randomly participated. Responses were received from all the five regions of Africa. The data is structured to identify some leading misinformation been propagated in the media. For data, in brief, we performed a descriptive analysis of the data and also examine the degree of each selected misinformation contents on the immune perception of respondents using Confirmatory Factor Analysis. Another research can use the dataset to investigate how misinformation and religion misconception promote ignorance about disease or pandemic in Africa or the dataset could serve as supplementary material for further investigation of COVID-19 pandemic in Africa.Read Less

A panel data analysis of renewable energy consumption in Africa

Aurthors: Busayo T. Olanrewaju; Olusanya E.Olubusoye; Adeola Adenikinju & Olalekan J. Akintande


The increasing global demand for energy security and sustainable development necessitated the need for a paradigm shift from fossil fuel energy sources to renewable energy sources in Africa. There is a deaRead Morerth of information on the current pattern of renewable energy consumption as well as its key drivers in Africa. This study was therefore designed to investigate the determinants of renewable energy consumption in Africa, with a view to understanding the current pattern and its potential determinants. The study employed the panel data analysis involving five most populous and biggest economy in each of the five regions of Africa namely; Nigeria (West), Egypt (North), Ethiopia (East), DR Congo (Central) and South Africa (Southern) and using annual data from 1990 to 2015. Empirical analysis involved the estimation of both fixed effects and random effects models, while the Hausman test was employed for selecting the appropriate panel model and was found to be significant at p ≤ 0.05. Hausman test statistic value of 52.74 which was used to decide between fixed effects model and random effects model was found to be significant at 5%. The F-Statistic test value of 94.15 from the estimated fixed effect model was significant at 5%.Read Less

**Perspectives, Impacts and Policy Responses to Covid-19 Pandemic

Edited by:Adeola Adenikinju; Akin Iwayemi; Olusanya E. Olubusoye & Olugbenga A. Falode

**Perspectives, Impacts and Policy Responses to Covid-19 Pandemic II

Edited by:Adeola Adenikinju And Olusanya E. Olubusoye

**Note: The two volumes ordinarily cost 8,000 Naira, however, Authors will benefit from special discounts of having the two volumes at 5,000 Naira. In case you need these copies, kindly contact UI-LISA using the contact details available on this website.

A report on the Study by UI-LISA on Enhancing Election Particaption in Nigeria

Aurthors:Olusanya E.Olubusoye; Saad U. Udris; Timothy A. Bamiduro; Abosede A. Adepoju; Ibrahim Sani; Oluwayemisi O. Alaba; Serifat Folorunsho; Olalekan J. Akintande & Tayo P. Ogundunmade

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Policy Briefs: Enhancing Election Particaption in Nigeria

Aurthors:Olusanya E.Olubusoye; Saad U. Udris; Timothy A. Bamiduro; Abosede A. Adepoju; Ibrahim Sani; Oluwayemisi O. Alaba; Serifat Folorunsho; Olalekan J. Akintande & Tayo P. Ogundunmade

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An information-based index of uncertainty and the predictability of energy prices

Aurthors: Olusanya E.Olubusoye; Ahamuefula E. Ogbonna; OlaOluwa S. Yaya & David Umolo


We develop an index of uncertainty, the COVID‐19 induced uncertainty (CIU) index, and employ it to empirically examine the vulnerability of energy prices amidst the COVID‐19 pandemic using a distributed lag model that jointly accounts for conditional heteroscedasticity, autocorrelation, persistence, and structural breaks, as well as day‐of‐the‐week effect.Read MoreThe nexus between energy returns and uncertainty index is analyzed, using daily price returns of eight energy sources (Brent oil, diesel, gasoline, heating oil, kerosene, natural gas, propane, and WTI oil) and four news/information‐based uncertainty proxies [CIU, EPU, Global Fear Index (GFI) and VIX]. The CIU and alternative indexes are used, respectively for the main estimation and sensitivity analysis. We show the outperformance of CIU over alternative news uncertainty proxies in the prediction of energy prices. News (aggregate) and bad news are found to negatively and significantly impact energy returns, while good news has a significantly positive impact. Imperatively, energy variables lack hedging potentials against the uncertainty occasioned by the COVID‐19 pandemic, while we find no strong evidence of asymmetry. Our results are robust to the choice of news variables, forecast horizons employed, with likely sensitivity to energy prices. Read Less