Thanks　to　the　booming　industry,　China　has　made　a　huge　economic　achievement　during　the　past　several　decades.　However,　it　is　suffering　severe　environmental　and　sustainable　problems　now.　To　find　a　sustainable　development　path,　it　is　necessary　to　assess　Chinese　industrial　energy　and　environment　productivity　and　explore　the　contributing　reasons.　It　is　known　that　the　technical　change　is　the　one　power　that　drives　the　growth　of　the　industrial　productivity.　Nevertheless,　the　technical　change　bias　of　Chinese　industrial　energy　and　environment　productivity　has　rarely　been　analyzed,　such　that　the　secrets　of　Chinese　industrial　energy　and　environment　productivity　cannot　be　further　uncovered.　Thus,　in　this　paper,　we　first　propose　a　global　DEA-Malmquist　productivity　index　to　evaluate　the　industrial　energy　and　environment　productivity　of　China　and　then　figure　out　the　Chinese　industrial　technical　change　biases　by　relaxing　the　Hicks＇　neutral　assumption　and　decomposing　the　industrial　technical　change.　We　find　out　that　both　the　global　DEA-Malmquist　productivity　and　the　technical　change　are　increased.　Furthermore,　the　technical　change　drives　the　improvement　of　the　global　Malmquist　productivity,　but　the　technical　progress　is　mainly　driven　by　labor,　energy　consumption　and　CO2　emission　biases.　A　multinomial　logistic　model　is　employed　to　find　out　the　reasons　for　these　biases.　It　finds　that　(1)　the　economic　foundation　has　a　significant　positive　impact　on　labor　bias,　while　the　infrastructures　have　negative　impacts　on　labor　bias.　(2)　CO2　emission　bias　is　influence　by　energy　prices　positively.　(3)　The　energy　prices　and　the　energy　consumption　structure　have　a　negative　influence　on　labor　and　energy　bias,　but　the　cost　of　curbing　air　pollutants　and　the　size　of　the　firm　influence　labor　and　energy　bias　positively.　(4)　The　infrastructures　and　energy　prices　affect　energy　and　CO2　emission　bias　positively,　and　the　economic　foundation　and　the　size　of　the　firm　have　negative　impacts　on　energy　and　CO2　emission　bias.