This　paper　conducted　an　in-depth　study　to　elucidate　the　impact　of　corporate　intelligence　transformation　and　regional　financial　technology　on　green　economic　growth,　particularly　the　role　of　credit　resource　allocation.　We　developed　a　multi-sector　general　equilibrium　model,　integrating　the　heterogeneity　of　intelligent　transformation　in　production　sectors　and　accounting　for　the　influence　of　Fintech　on　financial　institutions.　Within　this　model　framework,　panel　data　from　2011　to　2021　at　the　provincial,　municipal,　and　micro-enterprise　levels　in　China　were　used　to　validate　the　theoretical　model　through　a　mixed　regression　approach.　The　findings　indicate　that　as　intelligent　transformation　firms　receive　more　credit　resources,　their　potential　for　green　economic　growth　increases,　contributing　to　reduced　regional　carbon　emissions.　Additionally,　the　excess　productivity　of　intelligent　transformation　firms　has　a　significant　positive　impact　on　regional　carbon　reduction　efforts.　Moreover,　the　advancement　of　Fintech　reduces　financial　institutional　costs,　further　optimizing　credit　allocation　and　lowering　overall　market　interest　rates,　thereby　promoting　green　development　within　the　region.　However,　advancements　in　Fintech　may　also　redirect　more　credit　resources　toward　low-risk　general　enterprises,　resulting　in　a　credit　crowding-out　effect　for　intelligent　transformation　firms.　These　findings　indicate　that,　while　promoting　intelligent　transformation,　policy　measures　should　also　balance　the　resource　allocation　effects　of　Fintech　across　different　types　of　enterprises.