Under　the　goal　of　achieving　zero　carbon　or　carbon　neutrality　in　the　world,　three　industrial　transformation　and　upgrading　is　a　feasible　scheme　to　achieve　low　carbon.　However,　the　three　industries　in　different　countries　are　heterogeneous　in　technology　and　management.　If　the　efficiency　of　three　industries　is　evaluated　in　a　unified　technical　environment,　the　evaluation　results　may　be　limited,　so　that　the　industries　upgrading　cannot　be　effectively　realized.　Therefore,　this　paper　considers　the　technical　and　management　heterogeneity　of　three　industries,　constructs　new　meta-frontier　data　envelopment　analysis　framework.　Under　this　framework,　the　degree　of　industrial　agglomeration　is　divided,　and　by　considering　competitive　effect,　benchmarking　effect　and　spillover　effect　in　industrial　agglomeration,　three　new　meta-frontier　non-radial　distance　function　models　are　proposed,　and　then　the　total-factor　unified　efficiency　is　obtained.　By　further　extending　the　framework,　the　reasons　for　the　inefficiency　of　three　industries　under　competitive　effect,　benchmarking　effect　and　spillover　effect　are　analyzed.　The　results　show　that　industrial　development　of　all　countries　has　great　room　for　improvement,　and　the　three　agglomeration　effects　have　different　influences　on　countries　with　different　agglomeration　levels,　in　which　the　medium　agglomeration　is　most　conducive　to　green　development　of　three　industries.　Surprisingly,　the　development　of　the　secondary　industry　is　most　vulnerable　to　spillover　effects.　Moreover,　countries　with　similar　agglomeration　levels　have　the　strongest　effect,　and　countries　with　the　same　agglomeration　level　have　the　same　source　of　inefficiency　in　three　industries.