| 中国省际秸秆还田与农业绿色低碳生产效率耦合协调空间网络分析 |
| 摘要点击 982 全文点击 73 投稿时间：2024-05-23 修订日期：2024-08-07 |
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| 中文关键词 秸秆还田 农业绿色低碳生产效率 耦合协调 社会网络分析 QAP方法 空间关联网络 |
| 英文关键词 straw return agricultural green and low-carbon production efficiency coupled coordination social network analysis QAP method spatial correlation network |
| DOI 10.13227/j.hjkx.20250624 |
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| 中文摘要 |
| 系统刻画秸秆还田与农业绿色低碳生产效率的耦合协调空间关联网络特征和驱动机制，可为保障粮食安全，促进农业可持续发展提供经验借鉴. 综合运用耦合协调度模型、修正引力模型、社会网络分析法和QAP方法等，勾勒2000~2021年中国30个省（市、自治区）秸秆还田与农业绿色低碳生产效率的协调水平和空间关联网络演变特征并探讨其影响因素. 结果发现：①研究期内，中国农业绿色低碳生产效率呈小幅波动增长趋势，区域差异性显著，总体呈现出东部地区>中部地区>西部地区的发展趋势. ②中国30个省（市、自治区）秸秆还田与农业绿色低碳生产效率耦合协调度整体呈上升态势，空间集聚效应显著，高耦合协调度的省（市、自治区）逐步向东部地区靠拢，西部地区的耦合协调度蔓延速度滞缓，整体表现出“东盛西衰”的发展格局. ③2021年耦合协调空间联系强度相较于2000年更大，呈现出东密西疏和相互交织多流向的中心趋向外围复杂形态. ④耦合协调整体网络结构较不稳定，网络节点特征区域差异性显著，核心-边缘结构特征明显，核心区范围以东部地区为主. ⑤农业技术进步、经济发展水平、地理邻接、农业产业集聚和人力资本水平对空间关联网络具有显著的正向影响. |
| 英文摘要 |
| The systematic characterization of the coupled and coordinated spatial correlation network characteristics and driving mechanism of straw return technology promotion and agricultural green and low-carbon production efficiency provides empirical reference for guaranteeing food security and promoting sustainable agricultural development. The study comprehensively applies the coupled coordination degree model， modified gravity model， social network analysis method， and QAP method to outline the coordination level and spatial correlation network evolution characteristics of straw return to fields and agricultural green and low-carbon production efficiency in 30 provinces of China from 2000 to 2021 and to explore their influencing factors. The study found that： ① During the study period， China's agricultural green and low-carbon production efficiency showed a small fluctuation and growth trend， with significant regional differences and an overall development trend of eastern region > central region > western region. ② The overall coupling and coordination degree between straw return and agricultural green low-carbon production efficiency in 30 provinces in China was on the rise， with a significant spatial clustering effect. The provinces with high coupling and coordination degree gradually converged to the eastern region， and the coupling and coordination degree of the western region was gradual， with a lag in the spreading speed and the overall performance of the “east is flourishing and west is declining” development pattern. ③ In 2021， the intensity of the spatial connection of coupling coordination will be larger than that in 2000， showing a complex pattern of center-periphery type with dense east and sparse west， multi-flow direction， and intertwining. ④ The overall network density and association degree of coupling coordination of 30 provinces in China were relatively stable， the network hierarchy degree and network efficiency have increased， the core-edge structure was characterized significantly， and the scope of the core area in the eastern region was significantly larger than that in the central and western regions. ⑤ Agricultural technology progress， economic development level， geographic proximity， agricultural industry agglomeration， and human capital level had a significant positive effect on the spatial association network. |
