CO2　emission　reduction　has　become　a　consensus　all　around　the　world.　This　paper　investigates　the　spatiotemporal　characteristics　of　industrial　land　carbon　emission　intensity　(ILCEI)　in　China　by　spatial　autocorrelation　analysis,　and　applies　the　spatial　Durbin　model　to　reveal　the　influence　of　driving　factors　on　ILCEI.　The　results　indicate　the　following:　(1)　national　ILCEI　first　shows　a　downward　and　then　an　upward　trend　during　the　period　and　presents　a　low　pattern　in　both　Eastern　and　Northeastern　regions　and　a　high　pattern　in　the　Northwestern　region.　(2)　From　a　global　perspective,　ILCEI　shows　significant　spatial　agglomeration　characteristics;　from　a　local　perspective,　ILCEI　is　dominated　by　H-H　and　L-L　agglomeration　types,　showing　that　spatial　heterogeneity　and　spatial　dependence　are　apparent　in　ILCEI.　(3)　ILCEI　is　significantly　negatively　affected　by　both　R　&　D　personnel　and　foreign-trade　dependence,　while　urban　population　density　notably　has　positive　impacts　on　ILCEI.　This　paper　is　a　beneficial　policy　practice　for　harmonizing　the　contradiction　between　industrial　land　expansion　and　carbon　discharge.