Rapid　economic　development　inevitably　leads　to　the　discharge　of　a　large　amount　of　common　industrial　solid　waste　(CISW),　which　not　only　pollutes　the　environment　but　also　restricts　economic　development　in　turn.　In　this　study,　a　dynamic　common　industrial　solid　waste　(DCISW)　model　is　developed　to　analyze　the　retrospectively　CISW　development　in　Shanghai　from　2000　to　2017　and　simulate　prospectively　multi-perspective　emission　reduction　measures.　Specifically,　the　dynamic　linkages　between　CISW　and　socio-economics　are　established　at　both　the　systematic　and　sectoral　levels　through　input–output　analysis,　ecological　network　analysis,　and　related　socio-economic　indicators.　Abatement　measure　simulations　are　conducted　using　RAS　and　other　methods.　The　findings　reveal　that　the　growth　of　CISW　in　Shanghai　is　closely　related　to　its　fast-growing　economy.　The　Others　sector　(OS)　receives　the　most　CISW　from　other　sectors,　while　the　Mining　industry　(MI)　sends　the　most　CISW　to　others.　From　production-based,　consumption-based,　and　income-based　perspectives,　Chemical　Products　(CP)　consistently　remain　the　largest　contributors.　For　the　proposed　waste　generation　intensity　(WGI)　indicator,　the　Mining　industry　(MI)　is　regarded　as　the　main　sector　in　all　three　perspectives.　Moreover,　the　MI　consistently　emerges　as　the　key　sector　of　the　system.　CISW　simulations　indicate　that　improving　the　MI　emission　technology　and　increasing　the　MI　output　value　will　be　top　priorities　for　CISW　emission　reduction　in　Shanghai.　This　study　is　expected　to　provide　scientific　support　to　address　the　CISW　problem　in　Shanghai　and　other　similar　fast-growing　metropolises.　©　2024　Elsevier　Ltd