A　profound　green　transformation　of　China＇s　heavy　industrial　aggregation　regions　is　required　to　conquer　severe　air　pollution,　and　fulfill　carbon　peak　pledge.　Here,　to　clarify　the　coordinated　mechanism　and　an　optimal　roadmap　for　the　reduction　of　CO2　and　gaseous　pollutants,　we　integrated　input-output　modelling,　system　dynamics,　and　multi-objective　programming　to　construct　a　CO2　and　gaseous　pollutants　synergistic　reduction　model　initially;　investigated　incentive　approaches　from　2020　to　2035;　Hebei,　with　the　largest　steel　production　in　China,　was　adopted　as　a　demonstrative　region.　Results　revealed　that　intensive　dual　control　of　efficiency　and　structure　in　energy　and　industry　can　accelerate　achieving　carbon　peak　in　2029.　In　optimal　case,　CO2　emission　intensity　can　reach　a　75.2%　reduction　compared　to　2020,　and　gaseous　pollutants　continue　decline　simultaneously　(SO2　and　NOx　can　drop　by　63%　and　48%);　and　the　synergistic　reduction　level　is　expected　to　improve.　Thus,　vigorously　develop　decoupling　between　economy-air　pollution-carbon　reduction　in　Hebei.　As　opposed　to　efficiency　improvement,　structural　adjustments　were　demonstrated　to　be　more　effective　than　short-term　efficiency　improvements.　In　addition,　the　estimated　development　potential　of　traditional　heavy　industries　such　as　steel　and　petrochemicals　is　limited,　whereas　the　equipment　manufacturing　industry,　closely　linked　to　traditional　industries,　is　expected　to　continue　its　development.　Furthermore,　although　in　the　electrification　process,　coal　consumption　is　still　needed　because　of　its　indispensable　role　in　the　production　process　of　heavy　industries.　The　results　can　facilitate　policy-making　for　heavy　industrial　aggregation　areas＇　green　transformation　in　shaping　policies　and　actions　with　clear　objectives,　effective　measures,　and　sound　coordination.