| 中国农业碳生产率的区域差异与空间关联网络结构 |
| 摘要点击 384 全文点击 43 投稿时间：2025-06-05 修订日期：2025-07-31 |
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| 中文关键词 农业碳生产率 修正引力模型 社会网络分析 区域差异 空间关联网络 |
| 英文关键词 agricultural carbon productivity modified gravity model social network analysis regional differences spatial correlation network |
| DOI 10.13227/j.hjkx.202506050 |
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| 中文摘要 |
| “双碳”战略背景下，厘清省域农业碳生产率的空间关联特征和区域差异，对于缓解全球气候变化与推动农业可持续发展具有重要意义. 选取2013~2023年中国30个省域的面板数据，利用Dagum基尼系数、修正引力模型和社会网络分析法探究对农业碳生产率的区域差异与空间关联网络的特征. 结果表明：①中国农业碳生产率呈现空间关联网络特征，黑龙江、山东、湖北和河南等省域在空间关联网络中扮演“主导者”角色，整体网络关联性和稳定性增强，呈现“核心-边缘”空间分布格局. ②中国农业碳生产率空间网络可划分为双向溢出、经纪人和主受益板块，但板块间的协同效应仍有待进一步释放. ③中国农业碳生产率总体区域差异呈现小幅波动上升，地区内不平衡问题较为突出，解决空间分布不均衡问题的核心是缩小地区间差异. |
| 英文摘要 |
| 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. |
