苏州工学院学报2025，Vol.39Issue(6)：22-28,7.
基于fsQCA的湖南省乡村商圈空间集聚模式研究
Spatial Agglomeration Patterns of Rural Trade Areas in Hunan Province:An fsQCA Approach
摘要
Abstract
Rural trade areas represent a mature form of rural commercial development.Promoting their spatial agglomeration is essential for advancing China's Rural Vitalization Strategy.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),this study investigates the causal conditions underlying the spatial agglomeration of rural trade areas across counties and cities in Hunan Province.The findings reveal four primary agglomeration patterns:the High Infrastructure-High Income Model,the Dual-Driven Model(High Demand and High Support),the Industrial Integration-Driven Model,and the Spontaneous Trade Hub Model.Each pattern relies on a distinct combination of agglomerative factors,highlighting the need for context-sensitive policy approaches.Accordingly,industrially developed counties should focus on enhancing their role as regional consumption engines;resource-based counties ought to pursue transition strategies that foster a virtuous cycle of commercial services supporting rural livelihoods;counties with distinctive local industries can develop integrated"front-store-back-factory"ecosystems;and agricultural counties are advised to rejuvenate traditional markets to activate latent local economies.关键词
乡村商圈/空间集聚/fsQCA/核密度Key words
rural trade area/spatial agglomeration/fsQCA/kernel density分类
管理科学引用本文复制引用
朱艳春..基于fsQCA的湖南省乡村商圈空间集聚模式研究[J].苏州工学院学报,2025,39(6):22-28,7.基金项目
湖南省哲学社会科学基金重点项目"数字化驱动乡村商圈空间结构优化路径研究"(22ZDB085) （22ZDB085）
