Spatial network correlation and driving factors of agricultural resilience in the Yangtze River Basin, China.

Q3 Environmental Science
Hui-Yan Qin, Meng-Fei Kong, Hong-Ge Zhu
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引用次数: 0

Abstract

Agricultural resilience and stability are critical to achieving high quality agricultural development. We developed an agricultural resilience assessment framework with three dimensions: disturbance resistance, stability and innovation capacity. Then, we measured the agricultural resilience of 11 province-level regions in the Yangtze River Basin from 2011 to 2021, and applied social network to examine the spatial network characteristics of agricultural resilience, employed quadratic assignment procedure model to analyze key driving factors. The results showed that, from 2011 to 2021, the agricultural resilience of different provinces in the Yangtze River basin had some differences, but the overall average value showed an upward trend, increasing from 0.28 in 2011 to 0.38 in 2021. The overall network connection of agricultural resilience among the provinces in the Yangtze River Basin was not close. Results of individual network and block model analysis showed that Hubei Province played a crucial role in the overall network, with the spillover relation number of 4 and a beneficiary relation number of 10. Agricultural human capital, market scale, and ecological governance level had a significant positive impact on regional agricultural resilience, with the model explaining 94.2% of the variance. To effectively enhance agricultural resilience in the Yangtze River basin, it is essential to promote coordinated and shared agricultural development, strengthen agricultural education, continuously deepen agricultural system reform and supply-side structural reform, and adhere to ecological governance.

长江流域农业弹性空间网络相关性及驱动因素分析
农业韧性和稳定性是实现农业高质量发展的关键。我们建立了一个包含抗扰性、稳定性和创新能力三个维度的农业弹性评估框架。在此基础上,对2011 - 2021年长江流域11个省区的农业弹性进行测度,运用社会网络分析农业弹性的空间网络特征,采用二次分配过程模型分析关键驱动因素。结果表明:2011 - 2021年,长江流域不同省份的农业恢复力存在一定差异,但总体平均值呈上升趋势,从2011年的0.28上升到2021年的0.38;长江流域各省区农业恢复力总体网络联系不紧密。个体网络和区块模型分析结果表明,湖北省在整个网络中发挥着至关重要的作用,其溢出关系数为4,受益关系数为10。农业人力资本、市场规模和生态治理水平对区域农业弹性有显著的正向影响,该模型解释了94.2%的方差。要切实增强长江流域农业韧性,必须推动农业协调共享发展,加强农业教育,不断深化农业体制改革和供给侧结构性改革,坚持生态治理。
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来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
自引率
0.00%
发文量
11393
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