The　increasing　greenhouse　gas　(GHG)　emission　and　environmental　degradation　(ED)　is　a　serious　concern　for　the　various　economies,　and　a　similar　issue　is　observed　in　Asia.　This　paper　investigated　the　role　of　clean　energy　from　renewable　sources,　urbanization,　and　economic　growth　in　determining　the　level　of　GHG　emissions　from　1995　to　2018　for　ten　Asian　States　through　a　cross-sectional　autoregressive　distributed　lagged　(CS-ARDL)　model.　Meanwhile,　the　current　research　also　examined　the　cross-sectional　dependence,　unit　root　properties,　and　co-integration　between　the　study　variables.　The　study　findings　confirmed　that　clean　energy　and　GDP(2)　played　their　constructive　role　in　reducing　GHG　emissions　in　the　natural　environment　or　targeted　economies.　In　contrast,　urbanization　and　economic　growth　caused　more　GHG　emissions　both　in　the　long　and　short　run.　Furthermore,　the　robust　check　through　augmented　mean　group　(AMG)　and　common　correlated　effect　means　group　(CCEMG)　also　confirmed　that　clean　energy　and　GDP(2)　have　a　good　sign　for　lowering　ED　compared　to　GDP　and　urbanization.　The　study　findings　could　support　policymakers,　specifically　in　the　field　of　energy　economics　and　environmental　sustainability.　Therefore,　it　is　highly　recommended　that　some　strong　policy　implications　are　needed　to　reduce　environmental　issues　through　controlling　the　negative　impact　of　economic　growth　and　urbanization.　This　study　contributes　in　the　literature　of　GHG　emission　with　respect　to　economic　growth,　urbanization　and　clean　energy　and　guided　the　regulators　while　formulating　policies　related　to　control　the　GHG　emission.　(c)　2021　Elsevier　Ltd.　All　rights　reserved.