摘要
利用2009-2020年我国6个空港型国家物流枢纽城市的数据,从航空物流产业与高技术产业、跨境电商产业协同的角度,采用复合系统协同度评价模型测算航空物流匹配能力。研究表明,这6个空港型物流枢纽城市的航空物流匹配能力总体呈上升趋势,均值依次为郑州0.452 0、重庆0.360 7、西安0.310 2、深圳0.287 5、北京0.142 3、天津-0.096 7。航空物流匹配能力提升主要依托航空物流上下游产业的同步协调发展。鉴于此,建议加大机场基础设施投资,增强航空物流产业服务水平,科学集聚航空物流高依赖型产业,利用匹配能力视角的顶层设计有效衔接航空物流产业、高技术产业与跨境电商产业,综合提高航空物流匹配能力。
Based on the data of six national airport-type logistics hub cities in China for the period from 2009 to 2020,we used the composite system synergy degree evaluation model to estimate the aviation logistics matching ability from the perspective of the coordinated development of aviation logistics industry,high-tech industry and cross-border e-commerce industry.The research showed that the aviation logistics matching ability of the six airport-type logistics hub cities was on the rise in general,and the average value was 0.4520 in Zhengzhou,0.3607 in Chongqing,0.3102 in Xi'an,0.2875 in Shenzhen,0.1423 in Beijing,and-0.0967 in Tianjin.Also,the improvement of aviation logistics matching ability mainly relied on the synchronous and coordinated development of upstream and downstream industries of the aviation logistics industry.On such basis,we proposed to increase the investment in airport infrastructure,improve the service level of the aviation logistics industry,scientifically conglomerate the industries highly dependent on aviation logistics,and effectively connect the aviation logistics industry,high-tech industry and cross-border e-commerce industry with top-level design from the perspective of matching ability to comprehensively improve the matching ability of the aviation logistics industry.
作者
沈丹阳
刘姣
刘茜萌
SHEN Danyang;LIU Jiao;LIU Ximeng(College of Transportation Science&Engineering,Civil Aviation University of China,Tianjin 300300;Institute of Airport Economics,Civil Aviation University of China,Tianjin 300300,China)
出处
《物流技术》
2023年第6期39-44,共6页
Logistics Technology
基金
天津市教委科研计划项目(人文社科)(2020SK046)。
关键词
航空物流
匹配能力
空港型国家物流枢纽城市
复合系统协同度
熵权法
aviation logistics
matching ability
airport-type national logistics hub city
composite system synergy degree
entropy weight method