生鲜农产品供应链韧性水平测度与影响因素分析
Measurement of Fresh Produce Supply Chain Resilience Level and Analysis of Influencing Factors
解玉洁 1周海霞1
作者信息
- 1. 青岛农业大学 经济管理学院(合作社学院),山东 青岛 266000
- 折叠
摘要
基于 2013-2022年省级面板数据,采用熵权-TOPSIS 法测度生鲜农产品供应链韧性水平,借助Dagum基尼系数和双向固定效应模型分析了地区差异和影响因素,旨在为提升生鲜农产品供应链的韧性提供有益的参考.结果表明:在全国层面,我国生鲜农产品供应链韧性水平总体呈上升的趋势,但2020-2022年受新冠疫情影响波动较大;在区域层面,东部地区生鲜农产品供应链韧性水平最强,西部地区最弱,生鲜农产品供应链韧性水平存在地区差异并且各区域的驱动因素不同;从影响因素看,政府支持力度、科技创新能力、人口规模为主要正向因子,农民可支配收入、基础设施建设为主要障碍因子,据此提出提升生鲜农产品供应链韧性的对策建议.
Abstract
Based on the provincial panel data from 2013 to 2022,this paper adopts the entropy weight-TOPSIS method to measure the resilience level of fresh produce supply chain,and analyzes the regional differences and influencing factors with the help of Dagum's Gini coefficient and the two-way fixed effect model,in order to provide useful references for improving the resilience of fresh produce supply chain.The results show that at the national level,the resilience level of China's fresh produce supply chain is generally on the rise,but there is a fluctuating upward trend during 2020～2022 due to the impact of the new crown epidemic.At the regional level,the resilience level of fresh produce supply chain is strongest in the eastern region and weakest in the western region,and there are regional differences in the resilience level of fresh produce supply chain and different driving factors in each region.From the perspective of influencing factors,government support,scientific and technological innovation capacity,and population size are the main positive factors,while farmers'disposable income and infrastructure construction are the main obstacles.Accordingly,countermeasures are proposed to enhance the supply chain resilience of fresh agricultural products.
关键词
供应链韧性/生鲜农产品/指标体系/影响因素Key words
Supply chain resilience/Fresh agricultural products/Indicator system/Influencing factors引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据