Adebayo, Tomiwa SundayBekun, Festus VictorRjoub, HusamAgboola, Mary OluwatoyinAgyekum, Ephraim BonahGyamfi, Bright Akwasi2024-09-112024-09-1120231387-585X1573-2975https://doi.org/10.1007/s10668-022-02533-xhttps://hdl.handle.net/11363/7599Achieving environmental sustainability has become a global concern amidst increasing climate change threat. Using quarterly frequency data for the case of Russia from 1992 to 2018, the present study explores the interaction between disaggregated energy consumption (renewable energy and non-renewable energy), trade flow and economic growth on a broader measure for environmental degradation (ecological footprint). The choice of the variables draws strength from initiative of the United Nations Sustainable Development Goals (UN-SDG, 7, 8 11 and 13) for responsible energy consumption and clean energy consumption while mitigating climate change issues. The study applied the quantile-on-quantile regression (QQR) and nonparametric causality-in-quantiles to capture these associations. The outcomes from the QQR disclosed that in the majority of the quantiles, trade openness and renewable energy use contribute to environmental sustainability, while nonrenewable energy amplifies ecological footprint. Furthermore, growth in Russia escalates its ecological footprint. Moreover, in the majority of the quantiles, all the exogenous variables can predict ecological footprint. Given the outcomes of this study, it outlines the need for a paradigm shift for alternative and clean energy consumption in Russian energy mix amidst its economic growth trajectory while accounting for green-development approaches. Pathways to fully achieve the sustainability targets are carefully outlined in the concluding section.eninfo:eu-repo/semantics/closedAccessEnergy conservationRenewable energyEnvironmental sustainabilityQuantile-on-quantile techniqueNonparametric causalityArticle2510113971141910.1007/s10668-022-02533-x2-s2.0-85134006074WOS:000823349600003Q2