ZHENG Chengzhi.Empirical analysis of e -commerce and logistics relationshipbased on grey correlation[J].Journal of Yanbian University,2019,45(04):339-343.
基于灰关联的电子商务与物流关系实证分析
- Title:
- Empirical analysis of e -commerce and logistics relationship based on grey correlation
- 文章编号:
- 1004-4353(2019)04-0339-05
- Keywords:
- e -commerce; logistics; grey relational analysis; relevance
- 分类号:
- F724.6
- 文献标志码:
- A
- 摘要:
- 为探究电子商务与物流的关联性,采用灰关联分析法对2008—2018年的电子商务行业和物流行业的年度数据进行实证分析,结果显示:快递业务量与网络零售额的关联系数接近1,与电商总交易额、B2B交易额、跨境电商交易额的关联系数介于0.65~0.85; 民航、公路、水路和铁路的货物周转量与各电商交易额的关联系数介于0.35~0.65.上述结果说明,快递业务量与网络零售额几乎完全相关,耦合作用非常明显; 快递业务量与电商总交易额、B2B交易额、跨境电商交易额的关联程度较高,耦合作用较明显; 民航、公路、水路和铁路的货物周转量与各电商交易额的关联程度一般,耦合作用中等.
- Abstract:
- In order to explore the relevance between e -commerce and logistics, the annual data of e -commerce and logistics industries from 2008 to 2018 is empirically analyzed through grey relational analysis(GRA). The results show that the correlation coefficient between express service volume and the internet retail sales is close to 1; the correlation coefficient between express service volume and total transaction volume of e -commerce, B2B e -commerce transaction volume and cross -border e -commerce transaction volume is between 0.65 and 0.85; the correlation coefficient between the cargo turnovers of civil aviation, road, waterway and railway and each e -commerce transaction volume is between 0.35 and 0.65. According to the above results, the express service volume is almost entirely relevant to the network retail sales, thus, the coupling effect is very obvious, and the correlation level between the express service volume and total transaction volume of e -commerce, B2B e -commerce transaction volume and cross -border e -commerce transaction volume is comparatively high, thus, the coupling effect is relatively obvious too. And at the same time, the correlation level between the cargo turnovers of civil aviation, road, waterway and railway and each e -commerce transaction volume is general, thus, the coupling effect is moderate.
参考文献/References:
[1] 网经社-电子商务研究中心.电子商务行业数据库[DB/OL].[2019-10-19].https://www.100ec.cn/Home/Index/industryData.html?name=dzsw.
[2] 温辉.物流与电子商务关系的实证研究[J].物流技术,2014(3):276-278.
[3] 汪军,李龙,贾让成.协整视角下的我国电子商务业与快递业长期均衡关系分析[J].科技与管理,2015(4):78-82.
[4] 陈宾.电子商务与快递业的互动关系研究:基于VAR模型的动态实证分析[J].福建师范大学学报(哲学社会科学版),2016(1):63-69.
[5] 张鸿,刘修征.物流与电子商务交互影响的实证分析:基于VAR模型及省级面板数据模型[J].经济研究导刊,2018(2):43-47.
[6] 冯居易,罗养霞,张娜娜.我国电子商务与快递业的长短期关系研究:基于协整理论和误差修正模型的实证分析[J].技术经济与管理研究,2018(9):13-17.
[7] 韩静,杨力,刘卜榕.电子商务与物流产业协同度研究[J].合作经济与科技,2019(7):134-137.
[8] 刘思峰,党耀国,方志耕.灰色系统理论及其应用[M].3版.北京:科学出版社,2008.
[9] 杜栋,庞庆华.现代综合评价方法与案例精选[M].北京:清华大学出版社,2005.
[10] 张莉,阮素梅,许启发.金融业与产业发展匹配程度的实证研究[J].经济问题,2015(9):63-68.
相似文献/References:
[1]郑承志,黄淑兰.基于灰关联分析的物流与对外贸易关系的实证分析[J].延边大学学报(自然科学版),2021,47(03):249.
ZHENG Chengzhi,HUANG Shulan.Empirical analysis of the relationship between logistics and foreign trade base on GRA[J].Journal of Yanbian University,2021,47(04):249.
备注/Memo
收稿日期: 2019-10-19 基金项目: 福建省教育厅中青年教师教育科研项目(JAS171073)
作者简介: 郑承志(1964—),男,教授,研究方向为电子商务.