中国物流业绿色韧性的时空演变及空间关联网络结构  

Spatio-temporal Evolution and Spatial Correlation Network Structure of Green Resilience of Logistics Industry in China

作　　者：李敏杰 陈毅辉[2] LI Minjie;CHEN Yihui(School of Economics and Trade,Fujian Jiangxia University,Fuzhou 350108;College of Digital Economy,Fujian Agriculture and Forestry University,Fuzhou 350002,China)

机构地区：[1]福建江夏学院经济贸易学院,福建福州350108 [2]福建农林大学数字经济学院,福建福州350002

出　　处：《地理与地理信息科学》2024年第4期48-56,共9页Geography and Geo-Information Science

基　　金：福建省社会科学基金项目(FJ2023C046);福建省中青年教师教育科研项目(社科类)一般项目(JAS22106);福建江夏学院科研创新团队支持计划项目(23ktxs03);福建省科协科技创新智库课题研究项目(FJKX-2023XKB003)。

摘　　要：基于DPSIR模型构建物流业绿色韧性评价指标体系,采用熵权法测度2004—2021年中国30个省域的物流业绿色韧性水平并分析其时空演变特征,借助修正的引力模型和社会网络分析方法考察物流业绿色韧性空间关联结构特征。结果表明:①研究期内中国物流业绿色韧性水平整体呈微弱上升态势,空间上呈现东部>中部>东北>西部的分布格局;②物流业绿色韧性空间关联整体网络的连通度和可达性较好,但紧密程度和稳定性有待加强,且网络存在较强的层级特征,网络结构有待优化;③京津和东南沿海发达省域在物流业绿色韧性空间关联网络中既扮演“中心行动者”的角色,又发挥“中介”和“桥梁”作用,东北和中西部省域则处于边缘位置;④2021年北京、天津、上海和江苏构成净受益板块,浙江、广东和福建作为经纪人板块,是连接东部和中部、西南地区的纽带,以东北、中部和西部省域为主的板块是物流业绿色韧性溢出的主体。This paper constructs a green resilience evaluation index system for logistics industry based on the DPSIR model,and measures the green resilience level of the logistics industry in 30 provinces(municipalities and autonomous regions)in China from 2004 to 2021 using the entropy weights method,and analyses its temporal and spatial evolution characteristics.On this basis,this paper investigates the characteristics of the spatial correlation network structure of green resilience for the logistics industry with the help of the modified gravity model and the social network analysis method.It is found as follows.①From 2004 to 2021,the green resilience level of China′s logistics industry showed a slight increase trend,and its spatial distribution from high to low was in eastern region,central region,northeast region and western region.②The overall spatial correlation network of green resilience of logistics industry is relatively connected and accessible,but the network closeness and stability need to be strengthened,and there are strong hierarchical characteristics in the network that need to be optimized.③Beijing,Tianjin and developed coastal provinces in the southeast not only played the role of"central actor"in the spatial correlation network,but also played the role of"intermediary"and"bridge",with northeastern and central-western provinces at the edge.④In 2021,Beijing,Tianjin,Shanghai and Jiangsu constituted the net beneficiary sectors,while Zhejiang,Guangdong and Fujian served as broker sectors,a link between the eastern region and central and southwestern regions,and the sectors dominated by the northeastern,central and western provinces were the main body of the green resilience spillover from the logistics industry.

关 键 词：物流业绿色韧性 空间关联网络 社会网络分析 DPSIR模型 

分 类 号：F259.2[经济管理—国民经济]