东部沿海地区物流能源效率及其影响因素分析  

An Analysis of the Logistics Energy Efficiency of China's Eastern Coastal Region and Its Influencing Factors

作　　者：刘丽莎 兰国辉[1] Liu Lisha;Lan Guohui(College of Economics and Management,Anhui University of Science and Technology,Huainan,Anhui 232001)

机构地区：[1]安徽理工大学经济与管理学院,安徽淮南232001

出　　处：《嘉兴学院学报》2023年第4期132-139,共8页Journal of Jiaxing University

基　　金：淮南市科技研发项目(2021A244);安徽省教学研究重点项目(2021jyxm0351)。

摘　　要：运用超效率非期望产出SBM模型对2015—2020年我国东部沿海地区7个省市的物流能源效率进行测算,分析各省市物流能源效率特征,并运用Tobit回归模型分析我国东部沿海地区的物流能源效率的影响因素。研究结果表明,2015—2020年,东部沿海地区物流能源效率总体上呈现波动上升趋势,但各省市之间存在较大的差异,山东、江苏、上海的物流能源效率一直保持着比较高的水平;而近几年广东相较于其他地区,物流能源效率得到了明显改善;物流资源利用率和产业规模对物流能源效率有着显著正相关;能源结构和环境规制对物流能源效率有着显著负相关。The paper uses the super-efficiency non-expected output SBM model to measure the logistics energy efficiency of China's eastern coastal region from 2015 to 2020,analyzes the characteristics of logistics energy efficiency of each province and city,and uses the Tobit regression model to analyze the influencing factors of the logistics energy efficiency of this region.The research results show that the logistics energy efficiency of the eastern coastal region shows a fluctuating upward trend in general from 2015 to 2020,but there are large differences among provinces and cities,and the logistics energy efficiency of Shandong,Jiangsu and Shanghai has been maintained at a relatively high level.In recent years,compared with other regions,Guangdong s logistics energy efficiency has been significantly improved.The utilization rate of logistics resources and industrial scale have a significant positive correlation with logistics energy efficiency.Energy structure and environmental regulation have a significant negative correlation with logistics energy efficiency.

关 键 词：超效率SBM模型 TOBIT回归 物流能源效率 影响因素 

分 类 号：F259.22[经济管理—国民经济]