<b>Energy use and economic performance nexus in Sub-Saharan Africa: A multivariate analysis</b>(DATASETS)

The increasing concern about climate change has led to a growing interest in low-carbon energy sources, such as renewable energy. Most studies rely on traditional econometric methods, which may not capture the complex dynamics between variables with particular emphasis on developed economies, neglecting the experiences of developing countries. Studies have shown that transitioning to low-carbon energy sources can have numerous benefits, including reducing greenhouse gas emissions and improving energy security. Despite the extensive research on energy use, economic performance, and natural resources, there is still a need for studies that explore the complex relationships between these variables in a comprehensive and integrated manner. This study aims to fill this research gap by investigating the relationships between energy use, economic performance, and natural resources, focusing on low-carbon energy output and resource-based revenue. The study comprehensively analyzes the relationships between energy use, GDP, low-carbon energy output, natural resources, and African economic performance. The results show that GDP, low-carbon energy output, natural gas profit margin, and oil operating surplus significantly affect energy use, with resource-based revenue having a relatively minor impact. The study also reveals complex dynamics between the variables, with both short-term and long-term effects. Based on the findings, the study reveals strong relationships between energy use and these variables, indicating that increases in GDP, low-carbon energy output, natural gas profit margin, and oil operating surplus are associated with substantial increases in energy consumption. Complex and long-term relationships among the variables exist, consistent with the cointegration analysis. The study also revealed that shocks to energy use, GDP, and oil operating surplus have significant and persistent effects on the variables, indicating strong interdependencies.