By　incorporating　LMDI　method　with　the　Input-Output　Structural　Decomposition　Analysis,　this　article　examine　the　major　influence　factors　for　the　changes　in　China’s　industrial　CO2　emissions　during　the　following　three　stages:　The　rapid　growth　period　from　2002　to　2007,　The　adjusting　period　from　2007　to　2012　and　the　“new　normal”　period　from　2012　to　2017.　The　results　show　that:　(1)　expansion　in　the　final　demand,　along　with　economic　growth,　contributed　the　most　to　the　extra　CO2　emissions　in　the　three　stages.　(2)　The　decrease　of　industrial　energy　intensity　was　one　of　the　most　important　influence　factors　of　CO2　emission　reduction,　although　its　effect　became　weaker　overtime.　(3)　The　changes　in　industrial　correlation　structure　have　been　reducing　CO2　emission　in　the　last　two　stages.　(4)　Although　changes　in　energy　consumption　structure　and　the　final　demand　structure　have　been　reducing　CO2　emission　in　the　last　two　stages,　its　effects　were　still　small.　(5)　From　the　industrial　perspective,　while　the　energy　industries　and　the　heavy　manufacturing　industries　dominating　the　CO2　emission,　the　service　industry　has　becoming　another　major　contributor　to　the　CO2　emission,　especially　in　the　third　period.　(6)　In　the　long　run,　although　the　growth　rate　of　CO2　emission　will　decline　with　the　slowdown　of　China’s　economy,　it　is　more　important　to　reduce　the　share　of　fossil　energy　consumption　in　order　to　reverse　the　CO2　emission　trends　in　China.　(7)　In　the　short　term,　in　order　to　reduce　the　growth　rate　of　CO2　emissions,　it　is　necessary　for　China　to　increase　import　and　decrease　export　moderately,　and　to　adjust　the　structures　of　import　and　export　as　well　as　the　consumption　structure　of　the　three　major　fossil　energies.　It　is　also　necessary　for　us　to　continue　to　reduce　the　industrial　energy　intensity,　especially　in　the　energy　industry,　heavy　manufacturing　and　service　industry.　©　2020,　Tsinghua　University　Press.　All　rights　reserved.