As　one　of　the　most　challenging　environment　issues　worldwide,　climate　change　has　posed　a　serious　threat　to　habitat,　species,　and　people＇s　livelihoods.　In　this　study,　a　sector-disaggregated　cross-regional　emission　analysis　model　is　devel-oped　to　systematically　analyze　enviro-economic　effects　of　sector-level　carbon　mitigation　efforts　from　both　production　and　consumption　perspectives　for　supporting　climate　change-related　policymaking.　A　special　case　study　of　Hubei　Prov-ince,　China,　is　conducted　to　demonstrate　the　potential　benefits　of　its　use　in　the　climate　change　related　policymaking　field.　The　power　generation　sector　has　been　disaggregated　into　five　subsectors　based　on　different　power　generation　technologies　to　help　investigate　the　potential　of　such　technologies　to　carbon　emission　mitigations.　The　carbon　mitiga-tion　policy　scenarios　from　both　industry　optimization　and　demand　substitute　perspectives　will　further　be　explored　to　provide　bases　for　decision　makers　to　formulate　the　desired　carbon　mitigation　policy　aimed　at　different　regions　and　sec-tors.　Results　indicate　that　dominant　direct　and　indirect　CO2　emissions　in　Hubei　Province　are　from　the　Production　and　supply　of　fossil-fuel　power　sector　and　Construction　sector,　respectively.　When　industry　optimization　policies　on　the　fossil-fuel　power　sector　(in　Hubei),　there　are　significant　effects　on　the　CO2　emission　mitigation　whichever　regions.　Therefore,　industry　optimization　policies　are　suggested　for　implementation　in　specific　sectors　with　close　intersectoral/interprovince　trade　contacts　and　significant　emissions　to　achieve　joint　carbon　emission　mitigations.