Supply-side structural reform is an important hand to achieve the “double carbon” goal，so the optimal allocation of supply-side factors is of great significance to the formulation of carbon emission and emission reduction strategies. This paper takes the panel data from 2014 to 2022 as a sample，explores the group effect of supply-side factors on carbon emission intensity on the longitudinal axis of time，and characterizes the spatial distribution difference of group coverage through the dynamic QCA method. The study shows that supply-side factors have three combinations in reducing carbon emission intensity：the “single-factor” model，the “factor-institution” model and the“multi-factor” model，which are related to the “single-factor” model and the “multi- factor” model，respectively，match the implementation effects in the eastern，central，western and northeastern regions；energy intensity plays a dominant role in lowering carbon intensity in the eastern and northeastern regions；and different carbon intensity-driven effects lead to differentiated combinations of supply-side factors.