China　has　made　huge　economic　achievements　based　on　industry.　Heterogeneity,　resulting　from　the　industrial　structure,　energy　endowment,　and　infrastructure　among　regions,　has　always　been　neglected　on　industrial　performance　evaluation.　This　paper　focuses　on　provincial　industrial　heterogeneity　to　make　a　study.　Firstly,　meta-frontier　slack-based　measure　is　employed　to　rate　industrial　energy　and　environment　efficiency　of　China.　Besides,　spatial　evolution　characteristics　of　efficiencies　are　described　by　global　Moran＇s　I　and　local　Moran＇s　I　index.　Taking　the　spatial　correlation　effect　of　efficiency　into　consideration,　factors　driving　Chinese　industrial　energy　and　environment　efficiency　are　analyzed　and　distinguished　by　quantitative　regression　and　spatial　Durbin　model.　It　finds　that　(1)　technical　inefficiency　and　managerial　inefficiency　mainly　attribute　to　the　inefficiency　of　industrial　energy　and　environment.　(2)　Chinese　industrial　energy　and　environment　efficiency　presents　a　stable　spatial　agglomeration　as　＂high　aggregation,　low　aggregation.＂　It　is　necessary　and　indispensable　for　provinces　and　regions　to　cooperate　to　enhance　efficiency.　(3)　Each　province　has　a　distinct　driving　mechanism　of　efficiency.　The　improvement　policy　of　efficiency　should　be　diversified　for　different　provinces.