| 农业新质生产力与农业绿色全要素生产率协调网络的演化特征及驱动因素 |
| 摘要点击 584 全文点击 2 投稿时间：2025-07-28 修订日期：2025-09-24 |
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| 中文关键词 农业新质生产力 农业绿色全要素生产率（GTFP） 社会网络分析 协调网络 驱动因素 |
| 英文关键词 agricultural new quality productivity agricultural green total factor productivity（GTFP） social network analysis coordination network driving factors |
| DOI 10.13227/j.hjkx.202507366 |
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| 中文摘要 |
| 农业新质生产力与农业绿色全要素生产率（GTFP）协调发展是实现从“农业大国”向“农业强国”迈进的迫切需要，同时也是推动实现中国式农业现代化的必然要求. 在解构农业新质生产力与农业GTFP协调网络内在机制的基础上，基于修正的引力模型构建二者协调网络的空间关联矩阵，并利用社会网络分析法剖析中国农业新质生产力与农业GTFP协调网络的演化特征及驱动因素. 结果表明：①中国各省域农业新质生产力与农业GTFP协调网络逐渐形成，不仅邻近省域通过要素交互产生空间关联关系，而且非邻近省域通过跳跃式联动呈现出空间传递效应. ②协调网络呈现“核心-边缘”结构特征，山东、湖北和河南等农业大省处于网络核心枢纽地位，而新疆、宁夏和青海等西部偏远省域位于网络边缘区域. ③协调网络可划分为“双向溢出”板块、“净溢出”板块、“孤立者”板块和“净受益”板块，且多数板块内部具有显著关联性，呈现明显的俱乐部效应. ④不同要素对协调网络的形成产生分化，其中空间邻近性、农业产业结构差异、财政支农力度差异、干燥度差异与环境规制力度差异对协调网络具有显著影响，但城镇化水平差异和科技创新水平差异对协调网络的影响效应尚未凸显. |
| 英文摘要 |
| The coordinated development of agricultural new quality productivity and agricultural green total factor productivity （GTFP） is an urgent need to realize the progress from a “large agricultural country” to a “powerful agricultural country，” and it is also an inevitable requirement to promote the realization of Chinese-style agricultural modernization. On the basis of deconstructing the coordinated network mechanism of agricultural new quality productivity and agricultural GTFP， this study constructs the spatial correlation matrix of their coordinated network based on the modified gravity model and uses the social network analysis method to analyze the evolution characteristics and driving factors of the coordinated network of agricultural new quality productivity and agricultural GTFP in China. The results show that： ① The coordination network of agricultural new quality productivity and agricultural GTFP was gradually formed in all provinces of China， and not only did the neighboring provinces generate spatial correlation through factor interaction， but the non-neighboring provinces also showed a spatial transmission effect through jumping linkage. ② The coordination network was characterized by a “core-edge” structure， with large agricultural provinces such as Shandong， Hubei， and Henan at the core of the network and remote western provinces such as Xinjiang， Ningxia， and Qinghai at the edge of the network. ③ The coordination network could be divided into “two-way spillover，” “net spillover，” “isolate，” and “net benefit” segments. Most of the sectors had significant correlation， showing an obvious club effect. ④ Different factors had differentiated the formation of the coordination network， among which spatial proximity， differences in agricultural industry structure， differences in financial support for agriculture， differences in dryness， and differences in environmental regulation had a significant impact on the coordination network， but differences in the level of urbanization and differences in the level of scientific and technological innovation have not yet been highlighted in terms of their impact on the coordination network. |
