The Impact of Renewable Energy on Green Growth in Sub-Saharan Africa: An Empirical Analysis Using Pooled Regression Model

Abstract:
 This study aims to assess the impact of renewable energy on Green Growth (GG) in 12 sub-Saharan African countries from 1990 to 2020. The study employs panel data analysis models, specifically the Pooled Ordinary Least Squares (OLS) method, to analyse the causal relationships between variables. This study applied descriptive statistics and a correlation matrix to understand the characteristics and interactions of the variables. The results show that renewable energy consumption is negatively correlated with green growth in the short term, indicating the potential economic challenges during the transition to renewable energy. Additionally, the findings highlight the positive impacts of urbanisation on green growth, whereas increases in population and GDP per capita have negative effects. This study offers policy recommendations to support the use of renewable energy and enhance sustainable development in the region, contributing to long-term environmental and economic goals.