Air　pollution　management　is　becoming　a　major　topic　of　political　concern,　and　many　studies　have　devoted　to　the　efficiency　measurement　of　air　pollution　management.　However,　several　drawbacks　must　be　overcome　for　better　applying　efficiency　measurement　to　improve　air　pollution　management,　including　neglect　of　the　importance　of　different　indicators,　non-integrity　of　indicator　information　for　efficiency　measurement,　and　lack　of　analyzing　regional　factors　in　the　efficiency　of　air　pollution　management.　Accordingly,　by　utilizing　the　evidential　reasoning　(ER)　approach　with　entropy　weighting　method　to　propose　an　ER-based　indicator　integration　and　introducing　the　slacks-based　measure　(SBM)　model　with　consideration　of　undesirable　outputs　and　the　regression　model　to　propose　an　SBM-based　efficiency　analysis,　a　new　air　pollution　management　method,　called　integrated　ER-SBM　method,　is　developed　in　the　present　study.　In　the　case　study　of　Chinese　29　provinces,　the　application　procedure　and　results　are　provided　to　illustrate　how　to　apply　the　integrated　ER-SBM　method　to　integrate　various　air　pollution　indicators　with　different　importance　and　further　analyze　the　influence　of　regional　factors,　such　as　technological　innovation,　regional　population　density,　import-export　values,　number　of　industries,　and　energy　resources,　on　the　efficiency　of　air　pollution　management.　In　addition,　the　policy　recommendations　targeting　the　results　are　concluded　as　well.