统计与决策2025，Vol.41Issue(8)：113-120,8.
中国农业经济韧性空间关联网络演化特征与机制研究
Evolution Characteristics of Spatial Correlation Network of China's Agricultural Economic Resilience and Mechanism Study
摘要
Abstract
Based on the provincial panel data,this paper uses Social Network Analysis(SNA)and the Temporal Exponential Random Graph Model(TERGM)to examine the evolution characteristics and multi-dimensional driving mechanisms of the spa-tial correlation network of agricultural economic resilience in China from 2000 to 2022.The findings go as the following:(1)The agricultural economic resilience in China shows a fluctuating growth trend,with regional differences gradually narrowing and an overall stable and positive development.(2)The spatial correlation relationship of agricultural economic resilience among provinc-es has gradually strengthened,and the correlation intensity among different provinces shows a clear hierarchical pattern.(3)Prov-inces with strong agricultural economies such as Shandong,Jiangsu and Henan occupy core positions in the network,while prov-inces like Shaanxi and Guangdong play important intermediary roles.(4)The spillover pattern of agricultural economic resilience tends to evolve towards reciprocity,and the network structure is relatively stable.关键词
农业经济韧性/SNA方法/TERGM模型/网络演化Key words
agricultural economic resilience/SNA method/TERGM model/network evolution分类
管理科学引用本文复制引用
王军,李军,吴海涛,蒋子龙..中国农业经济韧性空间关联网络演化特征与机制研究[J].统计与决策,2025,41(8):113-120,8.基金项目
贵州省哲学社会科学创新工程项目(QNXSXF2023009) （QNXSXF2023009）
贵州省教育厅高校科技创新团队资助项目(黔教技[2023]091) （黔教技[2023]091）
贵州省黔千层人才项目([2024]202201) （[2024]202201）
凯里学院校级重点项目(2025ZD002) （2025ZD002）
