With　the　increasingly　severe　global　environment　and　climate　change,　the　growing　social　attention　toward　the　environmental　problems　has　prompted　local　governments　to　make　policy　adjustments.　The　formulation　of　the　carbon　emission　right　allocation　scheme　is　important　for　policy-makers.　Many　researchers　have　studied　the　problem　of　carbon　emission　right　allocation　by　using　data　envelopment　analysis　(DEA)　models.　However,　the　existing　literature　using　traditional　models　consider　each　Decision-Making　Unit　(DMU)　as　a　＂black　box＂　without　taking　the　internal　structure　into　account,　but　in　fact,　it　is　more　accurate　for　formulating　the　scheme　when　considering　the　inner　operation　of　DMUs.　This　paper　investigates　the　allocation　plan　of　carbon　emission　right　among　each　province　in　China　from　2007-2016　based　on　a　two-stage　DEA　model.　The　results　indicate　that,　first,　there　is　no　space　for　carbon　emission　in　the　north,　northeast,　and　northwest　from　2007-2016,　while　in　the　southern　regions,　it　always　exists.　In　addition,　the　carbon　emission　permits　of　the　southern　and　eastern　regions　are　increasing,　but　in　the　southwestern　regions,　the　carbon　emission　space　barely　fluctuated　during　this　decade.　Second,　the　potential　of　carbon　emission　reduction　of　each　region　tends　to　be　stable　after　2014,　and　in　the　north　and　northwest,　it　fluctuated　greatly　from　2007-2016.　Besides,　the　northwest　region　has　had　the　potential　of　emission　reduction　since　2010,　while　it　also　exists　in　the　northern　region　after　2014.