The　digital　economy　and　industrial　sustainable　development　are　important　issues　at　this　stage.　The　economic　welfare　effects　of　digital　economy　development　have　been　confirmed　by　the　existing　literature,　while　the　impact　of　digital　economy　development　on　industrial　pollution　emissions　remains　to　be　studied.　This　paper　takes　the　implementation　of　the　＂Broadband　China＂　strategy　as　a　quasi-natural　experiment,　and　uses　a　time-varying　difference　in　difference　model　(Time-Varying　DID)　to　identify　the　＂industrial　pollution　reduction　effect＂　of　digital　economic　development.　The　results　show　that,　(1)　digital　economy　development　can　significantly　reduce　industrial　SO2　emission　intensity,　and　this　＂industrial　pollution　reduction　effect＂　will　be　heterogeneous　according　to　the　changes　in　geographical　location　characteristics,　urban　scale　characteristics,　and　environmental　regulation　intensity　characteristics;　(2)　digital　economy　development　can　reduce　industrial　pollution　emissions　without　inhibiting　industrial　output,　and　this　＂industrial　pollution　reduction　effect＂　is　mainly　caused　by　the　improvement　of　energy　efficiency　and　the　cleaner　transformation　of　industrial　production　mode　brought　by　biased　technological　progress,　rather　than　by　the　traditional　neutral　technological　progress　and　end-of-pipe　treatment;　and　(3)　that　the　improvement　of　industrial　basic　capacity　can　significantly　enhance　the　＂industrial　pollution　reduction　effect＂　of　digital　economy　development.　In　the　process　of　promoting　the　development　of　the　digital　economy,　China　should　consider　urban　characteristics　and　improve　industrial　basic　capacity.