文章摘要
汪传雷,王静娟,秦琴.基于模糊隶属度的制造业与物流业复合系统协调度评价研究[J].井冈山大学社科版,2017,38(3):85-92
基于模糊隶属度的制造业与物流业复合系统协调度评价研究
Evaluation of the Coordination Degree of the Complex System in the Manufacturing Industry and the Logistics Industry Based on Fuzzy Membership
投稿时间:2017-01-07  
DOI:10.3969/j.issn.1674-8107.2017.03.013
中文关键词: 制造业  物流业  复合系统  协调度  指标体系
英文关键词: Manufacturing industry  logistics industry  composite system  coordination degree  index system
基金项目:安徽省社科创新发展研究课题"合肥和沿江地区联手打造产业集群、共建国际物流大通道研究"(项目编号:2016CX016)。
作者单位
汪传雷 安徽大学商学院, 安徽 合肥 230601
安徽大学物流与供应链研究中心, 安徽 合肥 230601 
王静娟 安徽大学商学院, 安徽 合肥 230601
安徽大学物流与供应链研究中心, 安徽 合肥 230601 
秦琴 安徽大学商学院, 安徽 合肥 230601
安徽大学物流与供应链研究中心, 安徽 合肥 230601 
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中文摘要:
      运用系统协同理论和方法,构建区域制造业与物流业复合系统,采用主因子分析、回归分析以及模糊隶属度分布密度函数模型,以安徽省合肥市及沿江城市2008年-2015年的制造业与物流业数据为样本,实证研究复合系统协调度,发现制造业与物流业发展的内在逻辑关系,刻画复合系统协调度变化的趋势。实证结果显示区域制造业与物流业复合系统协调度不断提高,在2015年稍有下降,并发现物流业的发展是影响复合系统协调度的主要因素,进而提出促进区域制造业和物流业协调发展的对策建议。
英文摘要:
      Based on the theory and method of system coordination,this paper attempts to construct the composite system of manufacturing industry cluster and logistics industry.By using principal factor analysis,regression analysis and membership degree distribution density function model of fuzzy mathematics and taking the manufacturing and logistics industry data in Hefei and other cities along the river in Anhui Province from 2008 to 2015 as the sample for empirical analysis,the authors research the complex system coordination, find the inherent logical relationship between the industrial cluster and the logistics industry and describe the changing trend of the complex system coordination.The empirical results show that the coordination degree of the regional manufacturing and logistics complex system had been increasing,but was slightly down in 2015.It is found that the development of the logistics industry is the main factor affecting the coordination degree of the complex system,and therefore some countermeasures and suggestions are put forward to promote the coordinated development of the manufacturing industry cluster and the logistics industry.
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