农林经济管理学报2026，Vol.25Issue(1)：1-12,12.DOI:10.16195/j.cnki.cn36-1328/f.2026.01.01
中国农业新质生产力空间关联网络特征及影响因素研究
Spatial correlation network characteristics and driving factors of new quality agricultural productive forces in China
摘要
Abstract
Based on panel data of 30 provinces in China from 2012 to 2022,this study empirically analyzes the spatial correlation network characteristics and factors influencing inter-provincial new quality agricultural productive forces by adopting the entropy method and social network analysis.The results show that the development level of China's new quality agricultural productive forces presents an overall growth trend while the regional development is unbalanced,showing a pattern of"higher in the east and lower in the west".A complex spatial network structure is formed with the eastern region as the core;the correlation among provinces continues to strengthen,yet there remains room for improvement.From the perspective of individual network characteristics,Beijing,Tianjin and Shanghai are the core subjects and hubs in the network of new quality agricultural productive forces,whereas Inner Mongolia,Ningxia and Xinjiang have relatively weaker influence.The spatial correlation of new quality agricultural productive forces features"close connections between plates and loose connections within plates",and different provinces fall into four types of plates,namely"main beneficiaries","brokers","two-way spillover"and"net spillover".The improvement of urbanization,marketization,financial development,and industrialization level,farmland transfer rate,and agricultural production potential all contribute to the establishment of the spatial correlation network.Accordingly,it is suggested that inter-provincial cooperation be deepened by building cross-provincial agricultural cooperation platforms to attract leading enterprises in the east to deploy in the central and western regions.Meanwhile,it is vital to improve the level of marketization and financial services,promote farmland transfer and the application of industrial technologies so as to jointly promote the coordinated development of new quality agricultural productive forces.关键词
农业新质生产力/空间关联/社会网络分析/影响因素Key words
new quality agricultural productive forces/spatial association/social network analysis/influencing factors分类
管理科学引用本文复制引用
崔新蕾,王冉冉,谢卓凌,段珂..中国农业新质生产力空间关联网络特征及影响因素研究[J].农林经济管理学报,2026,25(1):1-12,12.基金项目
国家自然科学基金地区项目(42361046)、教育部人文社会科学研究规划基金项目(22YJA630010)和内蒙古自治区自然科学基金面上项目(2022MS07023) （42361046）
