Dematerialization　is　a　phenomenon　in　which　resource　consumption　and　pollutant　discharge　decrease　during　economic　development.　In　order　to　explore　the　optimal　paths　of　Beijing＇s　dematerialization,　this　study　combines　material　flow　analysis　method　and　the　Tapio　decoupling　model　to　construct　a　city　dematerialization　evaluation　model,　and　establishes　a　system　dynamics　model　to　simulate　the　comprehensive　dematerialization　levels　and　the　dematerialization　levels　of　eight　materials　under　four　scenarios.　The　results　show　that　the　key　factors　affecting　the　dematerialization　levels　of　resource　and　discharge　end　were　non-metals　consumption　and　CO2　emissions　respectively.　During　2016-2030,　Beijing　would　achieve　weak　decoupling　state　under　four　scenarios,　but　the　degree　of　dematerialization　would　be　different.　For　the　comprehensive　dematerialization　level,　during　2017-2024,　an　industrial　restructuring　(IR)　scenario,　which　would　strengthen　R&D　investment　and　optimize　the　industrial　structure,　would　be　the　optimal　choice.　During　2025-2030,　an　environmental　governance　(EG)　scenario,　which　means　increasing　the　investment　in　pollution　control,　would　bring　about　the　best　dematerialization　level.　There　would　be　differences　in　the　optimal　dematerialization　paths　for　eight　materials.　For　example,　economic　sustainable　degrowth　(ESD)　and　EG　scenarios　would　be　the　optimal　paths　for　dematerialization　of　atmospheric　pollutants　in　the　period　2017-2021　and　2022-2030,　respectively.