Tourism　eco-efficiency　is　an　important　index　to　measure　the　sustainable　development　of　the　tourism　industry.　The　super-SBM　(slacked-based　measure)　model　based　on　undesired　output,　geographical　spatial　analysis　method,　and　panel　Tobit　regression　model　were　used　to　explore　the　spatial-temporal　evolution　characteristics　of　tourism　eco-efficiency　and　its　influencing　factors　on　13　cities　in　China＇s　Beijing-Tianjin-Hebei　region　from　2010　to　2019.　The　results　reveal　that:　1)　During　the　study　period,　high-efficiency　cities　were　mainly　in　Beijing,　Tianjin,　and　their　surrounding　areas,　and　the　number　of　these　cities　did　not　change,　whereas　low-efficiency　areas　were　farther　away　from　central　cities,　and　the　number　of　these　cities　increased　earlier　but　decreased　later.　2)　The　tourism　eco-efficiency　in　the　Beijing-Tianjin-Hebei　region　exhibits　significant　positive　spatial　autocorrelation　characteristics,　and　the　driving　effect　of　the　spatial　radiation　of　high-efficiency　cities　on　low-efficiency　cities　in　the　urban　agglomeration　is　more　obvious.　3)　The　levels　of　economic　development,　tourism　industry　structure,　urbanization,　and　technological　progress　have　a　greater　impact　on　tourism　ecological　efficiency.