This study delves into the critical nexus between energy transition and greenhouse gas (GHG) emissions across the G7 nations from 1970 to 2021. Its primary aim is to elucidate the influence of energy consumption composition on GHG emissions within these economies. A notable feature of this investigation is the incorporation of a novel metric known as the green quality of energy mix, which offers a significant perspective on the energy landscape. To unravel the complexities of this interrelationship, the study employs sophisticated statistical methodologies, leveraging quantile-based approaches such as quantile regression and quantile-on-quantile regression (QQR). By harnessing these advanced techniques, the research endeavors to capture the nonlinear dynamics inherent in the dataset, thereby enriching our understanding of the intricate interplay between energy transition and GHG emissions within the G7 nations. To bolster the reliability of our findings, the KRLS estimator is introduced as a supplementary validation tool for both the QQR and QR estimators. The results show that energy transition promote ecological quality by reducing GHG emissions in the G7 nations. This study's findings hold significant promise in augmenting ecological quality and bolstering sustainability efforts within these economies.