The　serious　consequences　of　climate　warming　have　increasingly　become　a　globe　agenda　in　recent　decades.　China　has　been　actively　participating　in　various　initiatives　to　address　global　climate　change　and　has　made　commitments　to　reduce　carbon　emissions.　Although　the　logistics　industry　is　regarded　as　the　＂new　driving　force　of　national　economic　development　＂,　its　carbon　intensity　is　relatively　high.　Therefore,　whether　the　logistics　industry　can　develop　in　a　green　and　low-carbon　way　is　very　crucial.　This　paper　takes　the　green　logistics　efficiency　of　China＇s　provincial　logistics　industry　as　the　research　object.　The　Super-SBM　model　is　used　to　measure　the　China＇s　green　logistics　efficiency,　then　the　general　dynamic　characteristics　is　depicted　by　kernel　density　analysis.　With　the　GML　(Global　Malmquist-Luenberger)　index　model,　the　reasons　for　the　changes　in　green　logistics　efficiency　are　explained.　Finally,　Moran＇s　I　index　is　used　to　analyze　the　spatial　correlation　of　green　logistics　efficiency　in　each　province.　The　results　show　that　the　green　logistics　efficiency　in　China　is　at　a　low　level,　but　with　an　upward　trend.　China＇s　green　logistics　efficiency　has　a　significant　positive　spatial　correlation,　showing　a　zonal　pattern　of　high　in　the　east　and　low　in　the　west,　and　a　polarization　phenomenon.　In　addition,　the　bottleneck　of　the　overall　development　of　green　logistics　efficiency　in　China　depends　on　the　level　of　green　technology.　Furthermore,　the　results　also　imply　that　green　technology　advancement　is　an　inherent　key　factor　for　green　logistics　efficiency　to　achieve　growth.