现代农业研究2025，Vol.31Issue(11)：34-39,6.
西南人口较少山区农产品冷链物流网络优化研究
Optimization of Cold Chain Logistics Network for Agricultural Products in Sparsely Populated Mountainous Areas of Southwest China
摘要
Abstract
To address the challenges of insufficient coverage,low efficiency,and high spoilage rates in the cold chain logistics network for agricultural products in sparsely populated mountainous areas of Southwest China—primarily due to complex terrain and dispersed population—this study takes Yunnan Province as a typical case.By integrating methods such as the optimized gravity model,factor analysis,and systematic clustering,the research examines the nodes and corridors of the regional cold chain logistics network.The results indicate that:(1)Based on a four-di-mensional indicator system,Kunming is identified as the overarching hub,with Qujing,Honghe,Dali,etc.,as sec-ondary hubs,and areas such as Northwest Yunnan as terminal nodes,forming a three-tier hierarchical structure;(2)The optimized gravity model quantitatively reveals a spatial pattern characterized by"core prominence,layered attenu-ation,and marginal collapse"in logistics connectivity,with the Kunming□Qujing corridor as the primary strong-at-traction axis;(3)Accordingly,a hub-and-spoke network structured as"one core,three axes"is constructed,achiev-ing a balanced optimization of efficiency and coverage through hierarchical node classification and corridor-based lay-out.This study establishes a tailored optimization framework for the cold chain logistics network that aligns with the geographical and industrial characteristics of Yunnan Province,providing theoretical insights and decision-making ref-erences for the high-quality planning of agricultural product circulation systems and rural revitalization in similar mountainous regions of Southwest China.关键词
西南山区/优化引力模型/农产品/冷链物流Key words
southwestern mountainous areas/optimized gravity model/agricultural products/cold chain logistics分类
管理科学引用本文复制引用
左峻源,顾天蕊,李富昌,胡晓辉,张小岚..西南人口较少山区农产品冷链物流网络优化研究[J].现代农业研究,2025,31(11):34-39,6.基金项目
国家自然科学基金(项目编号:71962037) （项目编号:71962037）
云南省哲学社会科学规划智库项目(项目编号:ZK2024YB14) （项目编号:ZK2024YB14）
云南省朱庆华专家工作站(项目编号:202305AF150028) （项目编号:202305AF150028）
云南省教育厅重点实验室:数字金融开发与管理 （）
2025年度昆明市社会科学规划课题(项目编号:KSGH2509). （项目编号:KSGH2509）
