[Synergy of Carbon Reduction and Pollution Control in the Chengdu-Chongqing Economic Circle： Spatiotemporal Patterns，...

Under the "dual carbon" strategy， this study systematically analyzes the spatiotemporal patterns， regional disparities， and dynamic evolution of the synergy between carbon reduction and pollution control in the Chengdu-Chongqing Economic Circle. Based on panel data of 144 districts and counties from 2000 to 2022， empirical research was conducted using methods such as the coupling coordination model， standard deviational ellipse （SDE）， spatial autocorrelation analysis， Dagum Gini coefficient decomposition， and both traditional and spatial Markov chain models. The results show that： ① The synergistic effect demonstrated a phased evolution of "rapid improvement-high-level fluctuation-differentiation adjustment." The coupling coordination degree rose from 0.256 to a peak of 0.323 before falling back to 0.262. The spatial autocorrelation was significant （Moran's I > 0.556）， with high-value areas concentrated in the Chengdu Plain and the main urban area of Chongqing. ② The average Dagum Gini coefficient was 0.214， and the contribution of intra-regional disparities exceeded 60%， with the imbalance being higher on the Chongqing side than on the Sichuan side. ③ Dynamic evolution analysis revealed that the distribution of synergistic effects had evolved from a single peak to a double peak. The synergy exhibited significant "state stability" （the minimum probability of maintaining the original state was 86.1%） and a "state locking" effect influenced by spatial neighborhoods. This resulted in limited upward transition possibilities and made "leapfrog" jumps difficult， indicating a gradual and stable evolutionary process. The synergy of carbon reduction and pollution control in the Chengdu-Chongqing Economic Circle exhibited significant spatiotemporal differentiation and polarization trends and demonstrated a stable， progressive evolutionary characteristic， providing a theoretical and practical basis for the region's green transition.