The　main　purpose　of　this　paper　is　to　build　an　objective　and　effective　environmental　performance　evaluation　model　of　air　pollution　control.　Based　on　the　severe　air　polluted　region　in　China,　that　is　Beijing-Tianjin-Hebei　region,　this　evaluation　model　consists　of　four　parts,　including　economic　benefits,　public　service,　government　management　and　development　potential,　and　uses　the　balanced　scorecard　theory.　The　weights　of　the　indexes　are　measured　by　comprehensive　evaluation　method,　which　combined　entropy　weight　method　and　analytic　hierarchy　process　(AHP).　To　test　the　applicability　of　the　evaluation　method　to　different　stages,　back　propagation　(BP)　neural　network　is　introduced　to　simulate　air　pollution　control　in　the　future.　The　results　reveal　that　the　environmental　performance　of　air　pollution　control　in　Beijing　had　an　upward　trend　during　2010-2016,　and　the　trend　would　continue　in　the　next　five　years.　The　environmental　performance　of　Tianjin　continuously　increased,　especially　from　2014　to　2016.　Tianjin　has　great　potential　of　air　pollution　control　in　the　future.　The　environmental　performance　of　air　pollution　control　in　Hebei　fluctuated　from　2010　to　2016　and　it　dropped　to　the　lowest　level　in　2015,　which　mainly　due　to　the　large　increase　in　number　of　days　with　air　quality　levelIIor　above　compared　with　2014　and　the　nonsignificant　growth　in　the　amount　of　expenditure　on　atmospheric　prevention　and　control,　the　amount　of　investment　in　the　control　of　industrial　pollution　sources　and　the　number　of　law　enforcement　personnel.　Moreover,　the　environmental　performance　of　air　pollution　control　closely　related　with　industrial　structure,　especially　with　the　proportion　of　the　tertiary　industry.　The　upgrading　of　urban　industrial　structure　and　the　coordinated　development　of　green　industry　should　be　implemented　to　restructure　the　environmental　transformation　in　air-polluted　region.　(C)　2020　Elsevier　Ltd.　All　rights　reserved.