中国物流业高质量发展评价及空间布局分析  

Evaluation and Spatial Layout Analysis of High-quality Development of China’s Logistics Industry

作　　者：林小芳 张思强 杜晓东[1] LIN Xiaofang;ZHANG Siqiang;DU Xiaodong(School of Business,Nantong Institute of Technology,Nantong 226001,Jiangsu,China;School of Economics and Management,Yancheng Institute of Technology,Yancheng 224051,Jiangsu,China)

机构地区：[1]南通理工学院商学院,江苏南通226001 [2]盐城工学院经济管理学院,江苏盐城224051

出　　处：《科技和产业》2024年第22期303-308,共6页Science Technology and Industry

基　　金：江苏高校哲学社会科学研究项目(2021SJA1632)。

摘　　要：在现有文献分析的基础上,构建了包含发展基础、发展绩效、创新潜力和绿色低碳4个一级指标、16个二级指标的物流业高质量发展指标体系。采集2011—2021年中国30个省份(因数据缺失,未包括西藏地区和港澳台地区)的面板数据,利用熵权法计算该指标体系中的各指标权重,并测算了30个省份各年的物流业高质量发展水平。同时,测算了各省份的全局莫兰指数进行空间自相关检验。结果表明,30个省份的物流业高质量发展水平呈逐渐递增趋势,但增幅不一;东部地区物流业高质量发展指数最高,西部地区最低,同时存在区域间物流业高质量发展的不平衡和同一区域内的发展不平衡;物流业高质量发展具有一定的空间溢出性,莫兰散点图显示的绝大部分省份样本点分布在第一、三象限,呈现高-高、低-低集聚现象;东部、中部、西部和东北地区四大板块在发展基础、发展绩效、创新潜力和绿色低碳4个一级指标上的表现不一。在此基础上,提出了相应的发展建议。Based on the analysis of the existing literature,a high-quality development index system of the logistics industry was constructed,which included four first-level indicators,such as development foundation,development performance,innovation potential,green and low-carbon,and sixteen second-level indicators.The panel data of 30 provinces in China(except Hong Kong,Macao,Taiwan and Tibet)from 2011 to 2021 were collected,the weight of each index was calculated by entropy weight method,and the high-quality development level of the logistics industry in each year of 30 provinces was estimated.Meanwhile,the global Moran’s Index of each province was measured to carry out spatial autocorrelation test.The results show that the high quality development level of logistics industry in 30 provinces of China is gradually increasing,but the growth rate is different.The high quality development index of the logistics industry in the eastern region is the highest,while the western region is the lowest,and there is an imbalance both between and within the regions.The high quality development of the logistics industry has a certain spatial spillover.The sample points of most provinces shown in the Moran scatter plot are distributed in the first and third quadrants,showing high-high and low-low clustering phenomena.The four plates of eastern,central,western and northeastern regions have different performance in the four first-level indicators of development foundation,development performance,innovation potential and green-low carbon.On this basis,the corresponding development suggestions are put forward.

关 键 词：物流业高质量发展 熵权法 全局莫兰指数 莫兰散点图 四大板块 

分 类 号：F259.27[经济管理—国民经济]