This study examines how economic growth, carbon dioxide (CO₂) emissions, foreign direct investment (FDI), and energy consumption relate to each other in Sub-Saharan African (SSA) region by employing the quantile regression model to guesstimate the point coefficients of the explanatory variables on the response variables for a range of quantiles from 0.01 to 0.99. The researchers make use of data from 17 SSA countries, with the years ranging from 1975 to 2018. The study reveals a dynamic result for the estimated regression parameters of the quantile regression models for all the respective explanatory variables at varied quantiles. The effect of FDI inflow on economic growth is statistically significant at quantiles 0.1, 0.4 to 0.8 but not statistically significant at quantiles 0.2, 0.3, and 0.9 at 1% and 5% significance levels. Also, the effects of energy consumption on economic growth and the effect of CO₂ emissions on economic growth are statistically significant at quantiles of 0.1, 0.2, and 0.7 at 1% and 5% significance levels. Furthermore, the result established that the coefficients for FDI inflow, energy consumption, and CO₂ emissions are positive across all the specified quantiles except for quantile 0.1 for FDI inflow, which is negative. Evidently, there exists an asymmetric relationship between economic growth and its explanatory variables (FDI inflow, energy consumption, and CO₂ emissions) at diverse quantile levels in its restrictive distribution. The study recommends that governments in the various regions should authorize the environmental agencies to act within the power given to them by the constitution. Also, less polluting foreign production techniques such as greener energy should also be sought after.