基于熵权—TOPSIS法的沿海港口城市物流竞争力评价研究
|
摘要
对港口城市物流竞争力进行分析与评价,将会对各港口城市了解自身实力、完善薄弱环节、提高物流竞争力产生积极的促进作用。以"一带一路"规划中的12个沿海港口城市为研究对象,运用熵权—TOPSIS法对物流竞争力进行分析与评价。结果表明:上海市、广州市、深圳市和天津市的物流竞争力较强,宁波市、大连市、青岛市、舟山市和泉州市的物流竞争力一般,烟台市、厦门市和汕头市的物流竞争力相对较弱。对各港口城市如何提高自身物流竞争力提出了建议。
Analyzing and evaluating the logistics competitiveness of port cities could make a positive effect on comprehending the strength of each coastal port city,perfecting it sweaknesses and improving its logistics competitiveness. This paper took 12 coastal port cities which in"one Belt and one Road"strategy as the research object,and used the entropy weight TOPSIS method to compare and evaluate the logistics competitiveness of 12 port cities. The results showed that the logistics competitiveness was more competitive in Shanghai,Guangzhou,Shenzhen and Tianjin,average in Ningbo,Dalian,Qingdao,Zhoushan and Quanzhou,and relatively less competitive in Yantai,Xiamen and Shantou. Then,some suggestions that how to improve port cities its own logistics competition were put forward.
Analyzing and evaluating the logistics competitiveness of port cities could make a positive effect on comprehending the strength of each coastal port city,perfecting it sweaknesses and improving its logistics competitiveness. This paper took 12 coastal port cities which in"one Belt and one Road"strategy as the research object,and used the entropy weight TOPSIS method to compare and evaluate the logistics competitiveness of 12 port cities. The results showed that the logistics competitiveness was more competitive in Shanghai,Guangzhou,Shenzhen and Tianjin,average in Ningbo,Dalian,Qingdao,Zhoushan and Quanzhou,and relatively less competitive in Yantai,Xiamen and Shantou. Then,some suggestions that how to improve port cities its own logistics competition were put forward.
引文
[1]汪波,杨天剑,赵艳彬.区域物流发展水平的综合评价[J].工业工程,2005,(1)∶83-86,93.
[2]孙峰华,魏晓,刘玉桥,等.山东半岛城市群物流业发展核心竞争力[J].地理学报,2008,(10)∶1108-1118.
[3]岑建明.北部湾经济区(广西)港口城市物流产业竞争力的因子分析评价[J].经济研究导刊,2009,(10)∶121-122.
[4]金芳芳,黄祖庆,虎陈霞.长三角城市群物流竞争力评价及聚类分析[J].科技管理研究,2013,33(9)∶183-187.
[5]张运.长株潭城市群区域物流竞争力实证研究[J].旅游纵览(下半月版),2013,(7)∶336.
[6]郑丽娟.我国“一带一路”沿途港口城市区域物流竞争力聚类分析[J].商业经济研究,2016,(24)∶88-90.
[7]刘艳,曹伟,王晏晏.“一带一路”内陆节点城市物流业竞争力评价———基于熵权TOPSIS组合模型[J].技术经济,2016,35(11)∶68-72,104.
[8]徐文静.沿海港口城市物流竞争力评价与聚类分析[J].商业经济研究,2017,(24)∶85-88.
[9]郭子雪,齐美然,李杨.基于G1法的河北省城市物流业竞争力评价研究[J].数学的实践与认识,2017,47(18)∶39-48.
[10]匡海波,陈树文.基于熵权TOPSIS的港口综合竞争力评价模型研究与实证[J].科学学与科学技术管理,2007,(10)∶157-162.
[11]刘峰,盛玲玲.基于熵权法环保公共服务绩效评价研究———以山东省为例[J].现代商业,2017,(27)∶77-79.
[12]Wang C L,Yoon K S. Multiple Attribute Decision Making:Methods and Applications[M]. Berlin:Springer-Verlag,1981∶16.
[13]高璐,沙迪,张雪萍.松嫩平原耕作黑土Cu、Pb、Zn的污染现状分析[J].中国农学通报,2011,27(6)∶261-265.
[14]孙然,王泽宇,郭萌雨.我国沿海地区港口竞争力综合评价[J].资源开发与市场,2013,29(8)∶809-813.
[15]丰茂秀,胡坚.基于熵权—TOPSIS和DEA算法的港口综合实力评价及作业效率研究[J].华中师范大学学报(自然科学版),2017,51(3)∶356-363.
[2]孙峰华,魏晓,刘玉桥,等.山东半岛城市群物流业发展核心竞争力[J].地理学报,2008,(10)∶1108-1118.
[3]岑建明.北部湾经济区(广西)港口城市物流产业竞争力的因子分析评价[J].经济研究导刊,2009,(10)∶121-122.
[4]金芳芳,黄祖庆,虎陈霞.长三角城市群物流竞争力评价及聚类分析[J].科技管理研究,2013,33(9)∶183-187.
[5]张运.长株潭城市群区域物流竞争力实证研究[J].旅游纵览(下半月版),2013,(7)∶336.
[6]郑丽娟.我国“一带一路”沿途港口城市区域物流竞争力聚类分析[J].商业经济研究,2016,(24)∶88-90.
[7]刘艳,曹伟,王晏晏.“一带一路”内陆节点城市物流业竞争力评价———基于熵权TOPSIS组合模型[J].技术经济,2016,35(11)∶68-72,104.
[8]徐文静.沿海港口城市物流竞争力评价与聚类分析[J].商业经济研究,2017,(24)∶85-88.
[9]郭子雪,齐美然,李杨.基于G1法的河北省城市物流业竞争力评价研究[J].数学的实践与认识,2017,47(18)∶39-48.
[10]匡海波,陈树文.基于熵权TOPSIS的港口综合竞争力评价模型研究与实证[J].科学学与科学技术管理,2007,(10)∶157-162.
[11]刘峰,盛玲玲.基于熵权法环保公共服务绩效评价研究———以山东省为例[J].现代商业,2017,(27)∶77-79.
[12]Wang C L,Yoon K S. Multiple Attribute Decision Making:Methods and Applications[M]. Berlin:Springer-Verlag,1981∶16.
[13]高璐,沙迪,张雪萍.松嫩平原耕作黑土Cu、Pb、Zn的污染现状分析[J].中国农学通报,2011,27(6)∶261-265.
[14]孙然,王泽宇,郭萌雨.我国沿海地区港口竞争力综合评价[J].资源开发与市场,2013,29(8)∶809-813.
[15]丰茂秀,胡坚.基于熵权—TOPSIS和DEA算法的港口综合实力评价及作业效率研究[J].华中师范大学学报(自然科学版),2017,51(3)∶356-363.