This　study　employed　the　Life　Cycle　Assessment　(LCA)　method　to　evaluate　the　greenhouse　gas　(GHG)　emissions　of　passenger　vehicles　across　31　provinces　in　China.　It　examined　the　potential　of　Battery　Electric　Vehicles　(BEVs),　Hybrid　Electric　Vehicles　(HEVs),　and　Plug-in　Hybrid　Electric　Vehicles　(PHEVs)　in　significantly　reducing　emissions　compared　to　Internal　Combustion　Engine　Vehicles　(ICEVs).　The　findings　revealed　that　HEVs,　PHEVs,　and　BEVs　substantially　lower　emissions　under　the　national　average　electricity　GHG　emissions　coefficient,　with　PHEVs　being　the　most　effective,　reducing　emissions　by　over　30%.　However,　disparities　exist　at　the　provincial　level　due　to　varying　electricity　structures,　with　BEVs　not　fully　effective　in　reducing　emissions　in　about　ten　provinces,　including　Liaoning.　The　study　further　categorized　provinces　into　six　groups　using　the　K-means　method　to　guide　the　promotion　of　different　types　of　New　Energy　Vehicles　(NEVs).　Sensitivity　analysis　highlights　the　critical　role　of　reducing　electricity　emission　coefficients　and　adjusting　PHEV＇s　utility　factor　in　achieving　emission　reductions.　The　study　also　notes　that　battery　replacements　in　PHEVs　and　BEVs　during　their　lifecycle　could　impede　emission　reduction　in　most　provinces.　To　maximize　the　environmental　benefits　of　NEVs,　there　is　a　need　to　move　to　a　greener　electricity　mix.　At　the　same　time,　strategies　for　promoting　NEVs　should　vary　for　different　provinces.