统计与决策2026，Vol.42Issue(10)：5-11,7.DOI:10.13546/j.cnki.tjyjc.2026.10.001
中国省际农业新质生产力空间关联网络结构特征与驱动因素
Spatial Correlation Network Structure Characteristics and Driving Factors of China's Inter-Provincial Agricultural New Quality Productivity
摘要
Abstract
As the core driving force of high-quality agricultural development,agricultural new quality productivity holds sig-nificant value in systematically deconstructing the structural characteristics of its spatial correlation network.This paper con-structs a comprehensive evaluation index system of agricultural new quality productivity.Based on the data of 30 provinces in Chi-na from 2013 to 2024,the paper uses the entropy weight-TOPSIS method to measure the agricultural new quality productivity in-dex,and adopts the modified gravity model,social network analysis method and QAP regression analysis method to analyze the spatial correlation network structure characteristics and driving factors of agricultural new quality productivity.The research re-sults are shown as below:The spatial correlation relationship of agricultural new quality productivity presents significant spatial network characteristics;the correlation of the spatial correlation network of agricultural new quality productivity has been en-hanced,but still has large room for growth,and the spatial correlation network has strong stability and small changes.The main grain producing areas have a high centrality in the spatial correlation network of agricultural new quality productivity,and many northern main grain producing provinces belong to the main beneficiaries in the spatial correlation network,while the provinces in grain production-marketing balance areas and main grain sales areas have relatively low centrality and mostly belong to spillover parties.The closer the distance between regions,the greater the differences in the proportion of rural population,agricultural in-dustrial structure and per capita expenditure on agriculture,forestry and water affairs,the smaller the differences in agricultural operation scale and the proportion of rural consumption in social consumption,the more conducive it is to driving the formation and evolution of the spatial correlation network of agricultural new quality productivity.关键词
农业新质生产力/农业高质量发展/空间关联网络/社会网络分析Key words
agricultural new quality productivity/high quality agricultural development/spatial correlation network/social network analysis分类
管理科学引用本文复制引用
刘慧敏,尚杰..中国省际农业新质生产力空间关联网络结构特征与驱动因素[J].统计与决策,2026,42(10):5-11,7.基金项目
中央高校基本科研业务费专项资金资助项目(2572024AW77) （2572024AW77）
