Statistical Analysis of Renewable and Non-renewable Energy Consumption against Population Growth

Abstract

Global population has significantly tripled in the last 50 years. The increasing population rate has led to increasing energy consumption, consequently, increasing Greenhouse Gas (GHG) emissions, which is the leading cause for global warming that endangers survival chances for living species. However, recent interest surged in renewable energy for clean and sustainable power production and consumption. With the deployment of renewable energy in the past years, dependence on fossil fuel was supposed to have declined, and consequently, GHG emissions, especially CO2. The aim of this research is to study the effect of population growth against fossil fuel consumption producing these emissions, in addition to the impact of renewable energy consumption that alternatively reduces GHG emissions. The outcome of the proposed topic represents comprehensive findings that relate population growth with global energy consumption against GHG emissions over the past few decades. This is achieved based on recent statistical applications and methodologies including linear regression models, and prediction models, which are applied to study the interaction of annual CO2 emissions, energy consumption, and population during, almost, the past fifty years. Additionally, according to the results, the presented null hypothesis is rejected as the current trend does not comply with the Paris agreement.