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我国三大地区物流产业与其主要经济影响因子灰色关联度分析 被引量:6

The Grey Correlation Analysis on Logistics Industry and Its Main Economic Impact Factor of China's Three Major Regions
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摘要 结合灰色关联分析模型的使用,以我国三大地区为研究对象,选取物流产业发展作为参考数列和8个经济影响因子作为对比数列,查找2004-2014年相关统计数据进行实证研究,得到各经济影响因子与物流产业的灰色关联度数值大小及排序.结果表明,三大地区各个对比数列与参考数列存在中等以上程度的灰色关联关系,由于地区区位、产业特点和产业结构等不同,三大地区各影响因子与物流产业发展的关联程度各自不同.另外,文章进一步分东、中、西地区进行各主要影响因子关联程度的对比分析,以期为更好促进地区经济增长和物流产业发展提供更有针对性的结论和建议. Combined with the use of the grey correlation analysis model, taking China's three major re- gions as the research object, selecting logistics industry development as reference sequence and eight e- conomic impact factor as the comparison,exploring the relevant statistics from 2004 to 2014 for empir- ical research to get the grey correlation degree between the economic impact factor and logistics indus- try and take their sorting,the study results show that there exists grey correlationship above medium degree between each reference sequence and compared sequence in the three major regions,because of the difference of regional location, industry characteristics, the industrial structure and development status in the three major regions, the correlationship degree between the compared factors and logistics industry are different.The paper further takes the correlation analysis on the main influence factors in eastern, central and western region respectively, in order to provide more specific conclusions and rec- ommendations for better promoting the regional economic growth and logistics industry development.
作者 颜双波
出处 《泉州师范学院学报》 2016年第2期84-91,共8页 Journal of Quanzhou Normal University
基金 中国博士后科学基金项目(2014M551828) 福建省社科联社科规划项目(2014B177) 福建省科技厅软科学项目(2015R0071)
关键词 三大地区 经济增长 物流发展 灰色关联分析 China' s three major regions economic growth logistics development grey correlation analysis
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