[Regional Differences in Agricultural Carbon Productivity and the Structure of Spatial Correlation Network in China]

Under the "dual-carbon" strategy， examining the spatial correlation patterns and regional disparities in interprovincial agricultural carbon productivity （ACP） is essential for climate change mitigation and sustainable agricultural development. Using panel data from 30 Chinese provinces from 2013 to 2023 and employing Dagum's Gini coefficient， a modified gravity model， and social network analysis， we systematically investigate ACP's regional variations and spatial network characteristics. Key findings reveal that： ① China's ACP exhibited distinct spatial network correlations， with provinces like Heilongjiang， Shandong， Hubei， and Henan functioning as network hubs. The overall network demonstrated strengthening connectivity and stability， forming a typical "core-periphery" structure. ② The spatial network of China's agricultural carbon productivity can be divided into two-way spillover， broker， and main beneficiary segments， but the synergistic effect between segments still needs to be further released. ③ Regional disparities show fluctuating growth trends， with particularly pronounced intra-regional imbalances， highlighting inter-regional gap reduction as the key to addressing spatial inequality.