The　logistics　industry　is　one　of　the　pillars　of　the　economy,　and　its　carbon　emissions　cannot　be　ignored.　As　the　forerunner　of　the　future　low　carbon　economy,　China＇s　coastal　areas　are　considered　to　have　the　highest　level　of　logistics　development　in　China.　But　can　logistics　efficiency　maintain　its　advanced　position　after　taking　carbon　emissions　into　account?　In　this　study,　the　GPCA-SBM　model,　Malmquist-Luenberger　(ML)　index　and　ArcGIS　software　are　used　to　analyze　the　spatial　differences　and　changes　of　low　carbon　logistics　efficiency　in　China＇s　coastal　areas.　The　research　results　show　that　the　spatial　differences　of　low-carbon　logistics　efficiency　in　coastal　areas　of　China　are　more　significant.　Generally,　areas　with　medium　and　low　efficiency　still　account　for　a　large　proportion;　the　high-efficiency　areas　are　scattered,　while　the　low　-efficiency　areas　are　distributed　in　a　piecewise　manner.　Through　further　research　on　the　efficiency　changes,　it　is　found　that　the　main　reason　for　the　change　of　low　carbon　logistics　efficiency　is　the　improvement　of　technical　efficiency　caused　by　the　progress　of　logistics　technology　in　most　coastal　areas.　In　addition,　the　ML　index　analysis　results　show　that　the　efficiency　of　low-carbon　logistics　in　China＇s　coastal　areas　decreases　first　and　then　increases,　which　verifies　that　the　logistics　industry　in　this　region　is　undergoing　the　transformation　and　upgrading　stage　of　low-carbon　logistics.　The　effect　of　low-carbon　logistics　practice　is　not　significant　in　the　short　term,　but　the　long-term　development　is　relatively　considerable.