Intelligence and its effects on environmental decline: A worldwide analysis.

The research investigates the relationship between intelligence quotient (IQ) and environmental degradation, aiming to understand how cognitive abilities influence environmental outcomes across different nations and time periods. The objective is to examine the impact of intelligence quotient (IQ) on environmental indicators such as carbon emissions, ecological demand, and the Environmental Kuznets Curve (EKC), seeking insights to inform environmental policy and stewardship. The study utilizes statistical techniques including Ordinary Least Squares (OLS), Two Stage Least Squares (2SLS), and Iteratively Weighted Least Squares (IWLS) to analyze data from 147 nations over the years 2000-2017.

Estimating the impacts of lockdown on Covid-19 cases in Nigeria.

The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered. The empirical evidence is anchored on the negative binomial regression estimator, due to the count nature of the dataset on the daily cases of the virus.

Modeling the Political Economy and Multidimensional Factors of COVID-19 Cases in Nigeria.

Both the clinical and epidemiological significance attached to COVID-19 cases by a small, but growing literature on coronavirus are not in any way undermined by the relevance of political economy and multidimensional impacts of other factors on the virus, particularly from country specific stance. In light of the stark reality, this study unravels the political economy and multidimensional factors of COVID-19 cases in Nigeria using the daily data spanning 27th of February through 26th of May, 2020. This paper deploys a variety of count data estimators to estimate the effects of political economy and ethno-religious factors on COVID-19 cases in Nigeria.