Purpose:　Over　the　last　few　years,　the　green　economy　(GE)　notion　has　been　realized　as　a　key　tool　for　achieving　sustainable　development　(SD)　in　both　developing　and　developed　nations.　Therefore,　the　current　study　tries　to　investigate　the　role　of　GE　in　achieving　SD　in　developing　countries.　Through　empirically　examining　the　relationship　between　the　GE　and　three　different　dependent　variables　which　are　GDP　per　capita,　total　unemployment　rate,　and　poverty　level,　using　cross-sectional　data　for　60　developing　countries　in　2018.　Design/methodology/approach:　Applying　generalized　least　square　(GLS)　approach.　The　four　dimensions　of　the　Global　Green　Economy　Index　(GGEI)　are　the　key　independent　variables　that　measure　the　accomplishment　of　nations　in　aspects　of　the　global　green　economy.　Findings:　The　empirical　results　showed　the　existence　of　a　positive　statistically　significant　relationship　between　the　GE　and　GDP　per　capita　and　the　level　of　total　unemployment,　while　there　is　a　negative　statistically　significant　relationship　between　the　GE　and　the　poverty　rate　in　developing　countries.　Implication　policy:　This　study　recommends　that　both　the　private　and　public　sectors　continue　to　endorse　and　adopt　GE　in　the　future　for　SD,　job　creation,　and　poverty　alleviation.　The　original　value　of　the　study:　It　is　the　first　research　for　developing　countries　that　explores　the　relationship　between　GE　and　SD　using　three　indicators　of　SD　using　a　GLS　approach　according　to　our　information.　Also,　this　study　categorized　the　dataset　of　the　developing　countries　based　on　their　income　level　for　addressing　the　heteroskedasticity　problem.　©　2023　The　Author(s)