大数据视角下农业供应链金融研究——基于上海市生猪产业链数据分析
发布时间：2019-03-29 09:34
【摘要】：由于农业供应链金融出现时间不长,人们对它的运行规律、运作机理和运行方式等还不太熟悉,尤其对供应链中核心企业的选择和评价还缺少行之有效的方法。以上海市生猪产业链发展为例,通过采集相关数据,运用大数据挖掘方法——典型相关分析进行探讨。结果显示,上海梅林更适合作为上海市生猪产业链中的核心企业,表明利用典型相关分析作为供应链金融中核心企业的评价方法是可行的。
[Abstract]:Because the agricultural supply chain finance has not appeared for a long time, people are not familiar with its operation law, operation mechanism and mode of operation, especially for the choice and evaluation of the core enterprises in the supply chain. Taking the development of pig industry chain in Shanghai as an example, by collecting relevant data and using big data's mining method-canonical correlation analysis, this paper discusses the development of pig industry chain in Shanghai. The results show that Shanghai Merlin is more suitable as the core enterprise in Shanghai pig industry chain, and it is feasible to use canonical correlation analysis as the evaluation method of core enterprise in supply chain finance.
【作者单位】： 上海理工大学管理学院;
【分类号】：F326.3;F832
，
本文编号：2449395
[Abstract]:Because the agricultural supply chain finance has not appeared for a long time, people are not familiar with its operation law, operation mechanism and mode of operation, especially for the choice and evaluation of the core enterprises in the supply chain. Taking the development of pig industry chain in Shanghai as an example, by collecting relevant data and using big data's mining method-canonical correlation analysis, this paper discusses the development of pig industry chain in Shanghai. The results show that Shanghai Merlin is more suitable as the core enterprise in Shanghai pig industry chain, and it is feasible to use canonical correlation analysis as the evaluation method of core enterprise in supply chain finance.
【作者单位】： 上海理工大学管理学院;
【分类号】：F326.3;F832
，
本文编号：2449395
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