文章以蔬菜流通量为例研究了物流发展的影响因素,在对淮安、宿迁13个县区面板数据进行搜集整理的基础上,分析了道路、信息化水平、经纪人队伍、设施及教育水平对物流发展的影响。估计结果显示,道路弹性系数最高,信息化水平、经纪人队伍、设施的影响也很显著,教育水平的影响不显著。 Taking the vegetable circulation as an example, the paper studied the influencing factors of logistics development. Based on the panel data collected from 13 counties in Huai’an and Suqian, the paper analyzed the relationship between the level of roads, informatization, brokers, facilities and educational level The impact of logistics development. The estimation results show that the road elasticity coefficient is the highest, the level of information, the influence of brokers and facilities are also significant, and the influence of education level is not significant.