[1]施新平.制造业与物流业联动发展的灰色关联分析[J].常州大学学报(社会科学版),2014,15(06):57-59.[doi:10.3969/j.issn.2095-042X.2014.06.013]
 SHI Xin ping.A Grey Relational Analysis of Joint Development of Manufacturing and Logistics Industries of Changzhou[J].Journal of Changzhou University(Social Science Edition),2014,15(06):57-59.[doi:10.3969/j.issn.2095-042X.2014.06.013]
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制造业与物流业联动发展的灰色关联分析()
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常州大学学报(社会科学版)[ISSN:2095-042X/CN:32-1821/C]

卷:
第15卷
期数:
2014年06期
页码:
57-59
栏目:
出版日期:
2014-12-31

文章信息/Info

Title:
A Grey Relational Analysis of Joint Development of Manufacturing and Logistics Industries of Changzhou
作者:
施新平
常州轻工职业技术学院管理系,江苏常州213164
Author(s):
SHI Xin - ping
Department of Administration,Changzhou Institute of Light Industry Technology,Changzhou 213164,China
关键词:
灰色关联分析 制造业 物流业 联动发展 常州
Keywords:
grey relational analysis manufacturing industry logistics industry joint development Changzhou
分类号:
F252. 5
DOI:
10.3969/j.issn.2095-042X.2014.06.013
文献标志码:
A
摘要:
采用货运周转量作为因变量,经济社会发展、流通贸易、产业结构、交通基础设施及固定投资五大类共13 个指标作 为自变量,运用灰色关联理论对区域制造业与物流业的情况进行了定量分析。在此基础上,从政府和物流企业两个层面出发, 提出了促进区域制造业与物流业联动发展的对策建议。政府应完善两业联动发展市场机制,打造制造业与物流业的信息共享平 台,以制造业、商贸业集群为依托建设物流产业集群; 而物流企业则应不断培育企业核心竞争力,进行资源共享,从竞争走向 竞合。
Abstract:
Taking cargo transport volume as dependent variable,five categories,namely,development of economy and society,circulation and trade,industrial structure,transportation infrastructure and fixed asset investment,altogether thirteen indexes as variables,this paper establishes a grey correlation model to analyze the joint development of the manufacturing and logistics industries of Changzhou,and then puts forward a series of countermeasures for the improvement of the coordination development of the manufacturing industry and the logistics industry from two aspects of government and logistics enterprises. The government should improve market mechanisms of linkage development,create information - sharing platform between manufacturing and logistics industries,build logistics industry cluster based on manufacturing,commerce and trade industries cluster. The logistics companies should continue to cultivate their core competitiveness and share information to shift from competition to cooperation.

参考文献/References:

[1] 赵曼. 江苏省物流业与制造业协调发展研究[D]. 镇江: 江 苏大学,2010.
[2] 王珍珍,陈功玉. 我国物流产业集聚对制造业工业增加值影响 的实证研究———基于省级面板数据的分析[J]. 上海财经大 学学报,2009 ( 6) : 49 - 54.
[3] 李维国. 区域物流经济影响因素的灰关联分析[J]. 物流工 程与管理,2010 ( 1) : 1 - 3.
[4] 王兴. 东莞制造业与物流业联动发展研究[J]. 物流技术, 2013 ( 11) : 297 - 299.
[5] 束惠萍. 产业结构转型中要着力发展新兴优势产业———以常州 高新区为例[J]. 常州大学学报: 社会科学版,2013 ( 6) : 38 - 40.
[6] 谭妮莎. 物流产业集群的优势及对策分析[J]. 江苏社会科 学,2007 ( 1) : 18 - 19.

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备注/Memo

备注/Memo:
作者简介: 施新平( 1980—) ,男,江苏常州人,硕士,讲师,主要从事物流与供应链管理研究。
更新日期/Last Update: 2014-11-25