To　evaluate　the　comprehensive　impacts　of　tourism　in　Hainan,　this　paper　proposes　an　approach　integrating　input-output　(IO)　model　with　multi-criteria　decision　making　(MCDM)　methods.　Four　steps　are　taken:　(1)　constructing　an　extended　IO　model　that　can　separate　out　domestic　and　imported　effects　from　the　traditional　IO　system;　(2)　constituting　a　3-level　evaluation　criteria　hierarchy　based　on　various　tourism　multipliers　obtained　from　the　extended　IO　model;　(3)　calculating　the　weights　of　criteria　using　the　entropy　theory;　(4)　giving　an　evaluation　of　comprehensive　impacts　of　tourism　based　on　four　MCDM　methods　–　WSM,　TOPSIS,　ELECTRE,　and　PROMETHEE.　Using　Hainan　2002,　2007,　and　2012　IO　tables　as　database,　the　proposed　approach　is　implemented　in　the　empirical　study　of　Hainan.　The　results　show　economic　dimension　is　the　most　important　consideration　and　the　overall　performance　of　tourism　in　Hainan　shows　a　trend　of　first　increasing　and　then　decreasing　from　2002　to　2012.　Two　types　sensitivity　analysis　of　weights　show　single　criterion　weight　change　has　little　influence　on　the　results.　But　it　is　different　when　four　dimensions　weights　change.　Especially,　when　the　environmental　dimension　is　valued,　the　overall　performance　gets　worse　annually.　These　findings　can　offer　insightful　policies　for　the　development　of　Hainan’s　tourism.　©　2020　The　Author(s).