This　research　mainly　studies　the　factors　influencing　the　efficiency　of　energy　utilization.　Firstly,　by　calculating　Moran＇sI　and　local　indicators　of　spatial　association　(LISA)　of　energy　efficiency　of　regions　in　mainland　China,　we　found　that　energy　efficiency　shows　obvious　spatial　autocorrelation　and　spatial　clustering　phenomena.　Secondly,　we　established　the　spatial　quantile　autoregression　(SQAR)　model,　in　which　the　energy　efficiency　is　the　response　variable　with　seven　influence　factors.　The　seven　factors　include　industrial　structure,　resource　endowment,　level　of　economic　development　etc.　Based　on　the　provincial　panel　data　(1998-2016)　of　mainland　China　(data　source:　China　Statistical　Yearbook,　Statistical　Yearbook　of　provinces),　the　findings　indicate　that　level　of　economic　development　and　industrial　structure　have　a　significant　role　in　promoting　energy　efficient.　Resource　endowment,　government　intervention　and　energy　efficiency　show　a　negative　correlation.　However,　the　negative　effect　of　government　intervention　is　weakened　with　the　increase　of　energy　efficiency.　Lastly,　we　compare　the　results　of　SQAR　with　that　of　ordinary　spatial　autoregression　(SAR).　The　empirical　result　shows　that　the　SQAR　model　is　superior　to　SAR　model　in　influencing　factors　analysis　of　energy　efficiency.