Abstract: Collaboratively promoting agricultural carbon reduction, pollution abatement, green expansion, and growth is an inherent requirement for accelerating agricultural green transformation and high-quality coordinated development.This study employed the modified coupling coordination degree model, the modified gravity model, social network analysis, and temporal exponential random graph models to measure the synergistic effects of agricultural carbon reduction, pollution abatement, green expansion, and growth at both county and prefectural-level city scales in Jiangsu Province from 2006 to 2022.The structural characteristics and evolutionary mechanisms of spatial correlation networks under dual scales were further investigated.The findings revealed the following: (1) The synergistic effects of agricultural carbon reduction, pollution abatement, green expansion and growth at both scales exhibited a positive developmental trajectory, but the spatial differences were more prominent at the county scale, with less than 35% of counties achieving intermediate coordination or higher.(2) The correlation degree of the spatial correlation network of the synergistic effects remained at 1 for both scales, indicating strong network connectivity.Nevertheless, the network density stabilized between 020 and 031, exhibiting an initial rise followed by a decline, which suggested that there was still significant potential for improvement in spatial correlation.(3) The spatial correlation network of synergistic effects showed the core-periphery structure at both scales.Yancheng City emerged as a dominant player in the prefectural-level network, while Yancheng Municipal District, Sheyang County, and Gaoyou City held core positions within the county-level network, acting as critical intermediaries.(4) Endogenous driving factors such as reciprocity, connectivity, and stability, together with exogenous driving factors including agricultural scale level, agricultural technological advancement, convergence effects, and geographical proximity, all exerted significant impacts on the evolution of spatial correlation networks of synergistic effects at both scales.This research provided valuable insights for Jiangsu Province to promote the coordinated development of agricultural carbon reduction, pollution abatement, green expansion, and growth, and strengthen regional linkage and integration