In　recent　years,　the　economic　performance　of　Chinese　industry　has　improved　significantly;　however,　the　congestion　caused　by　excessive　investment　has　plagued　its　sustainable　development.　In　order　to　make　full　use　of　resources,　it　is　necessary　for　the　Chinese　government　to　measure　industrial　congestion　from　different　perspectives.　However,　most　studies　for　measuring　congestion　only　consider　desirable　outputs,　even　if,　in　practice,　these　are　always　accompanied　by　undesirable　outputs.　In　this　paper,　three　policy　objectives　are　proposed　for　industrial　development　in　China:　the　economic　priority,　the　environmental　priority,　and　the　economic　and　environmental　win-win.　Three　new　data　envelopment　analysis　(DEA)　models　with　undesirable　outputs　were　built　for　measuring　undesirable　congestion,　desirable　congestion,　and　double-congestion,　respectively,　for　these　policy　objectives.　These　approaches　can,　not　only　identify　congestion　situation,　but　also　calculate　the　total　amount　of　congestion,　and　were　applied　to　an　analysis　of　the　congestion　of　regional　industries　in　China.　Results　show　that　most　regions　have　some　form　of　longstanding　input　congestion　under　different　policy　objectives,　with　this　resulting　in　serious　waste　of　resources.　Based　on　the　results　obtained,　some　suggestions　for　sustainable　industrial　development　in　China　are　proposed.　(C)　2015　Elsevier　Ltd.　All　rights　reserved.