Global　warming　is　a　serious　threat　to　humanity,　and　greenhouse　gases　are　behind　it.　CO2　is　one　of　the　main　greenhouse　gasses　that　cause　global　warming.　The　second　most　important　reason　behind　CO2　emission　is　the　transport　sector.　Electric-powered　Vehicles　introduced　by　the　automobile　sector　are　regarded　as　the　main　alternative　to　cope　with　this　issue.　Despite　their　advantages,　EV　adoption　rates　vary　by　country,　and　the　expected　reductions　in　energy　shortages　and　pollution　are　not　fully　achieved.　We　took　the　opportunity　to　assess　the　consumer　EV　adoption　intention　by　using　the　Value-based　technology　adoption　model.　We　integrated　Environmental　awareness　(EA)　and　Self-identification　expressiveness　(SIE)　as　new　factors　in　this　model　to　assess　the　role　of　EA　and　SIE　in　EV　adoption　intentions.　We　have　collected　the　response　of　704　EV　users　from　China　and　applied　the　SEM-ANN　dual-stage　hybrid　model　to　test　proposed　hypotheses　and　rank　the　variables　according　to　their　importance.　Study　findings　revealed　that　Environmental　awareness　is　a　significant　predictor　of　EV　adoption　but　is　not　the　most　important　factor.　Study　results　also　revealed　that　the　perceived　benefits　of　EV　adoption　and　perceived　sacrifices　for　its　adoption　have　a　significant　impact　on　the　perceived　value　of　EV,　and　this　value　leads　to　the　adoption　intentions.　PV　is　revealed　as　a　significant　mediator　in　our　proposed　model.　We　conclude　that　people　need　to　educate　about　environmental　issues　and　the　benefits　of　using　EVs　to　achieve　the　CO2　reduction　and　EV　sale　target.　The　study　has　several　theoretical　and　practical　implications　for　the　government　and　the　electric　vehicle　manufacturing　industry.