The current study re-investigates the link between renewable power utilization, financial advancements, urbanization and carbon emanations by applying the newly introduced quantile autoregressive distributed lag (QARDL) method proposed by Cho et al. (2015) in Chinese economy. The framework is assessed utilizing quarterly data during the time span of 1970Q1-2017Q4. The outcomes confirm that the association between the variable is quantile-dependent, which may uncover ambiguous outcomes in the previous research using out-dated estimations that mainly focus on the mean. The outcomes of Wald-test further confirmed the parameter constancy for China. Interestingly, we have found that on the one hand, renewable energy utilization helps in declining the CO2 emanations, and on the other hand, financial advancement and urbanization augments the CO2 emanations. Moreover, the causality analysis results divulge the existence of bidirectional causal associations between (a) renewable power and Carbon emanations, (b) financial advancements and Carbon emanations, and (c) urbanization and Carbon emanations. The findings recommended that government enforcement of renewable energy implementation should entail the introduction of cleaner production processes across the industries, so the level of environmental awareness helps the citizens in identifying the ecologically sustainable utilization patterns.