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作 者:耿玥 谢振安[1] Geng Yue;Xie Zhenan(School of Economics and Management,Anhui University of Science&Technology,Huainan,Anhui 232001,China)
机构地区:[1]安徽理工大学经济与管理学院,安徽淮南232001
出 处:《绿色科技》2022年第13期230-233,共4页Journal of Green Science and Technology
基 金:安徽理工大学2021年研究生创新基金项目(编号:2021CX2138)。
摘 要:运用灰色GM(1,1)模型对我国供应链金融改善中小型企业融资难问题的前景进行了预测,结果表明:2023年我国供应链金融的规模将达到34.247万亿元,中、小型工业企业应收账款将达到13.443万亿元,供应链金融具有广阔的市场。近年来,基于第三方物流企业的供应链金融融资服务模式应运而生,以最典型的SF公司作为案例,分析了SF公司供应链金融模式,针对其存在的问题提出了建议,旨在为我国其他物流公司开展供应链金融服务提供理论依据。The grey GM(1,1)model is used to predict the prospect of China's supply chain finance to improve the financing difficulties of small and medium-sized enterprises.The results show that the scale of China's supply chain finance will reach 34.247 trillion yuan in 2023,and the accounts receivable of small and medium-sized industrial enterprises will reach 13.443 trillion yuan.Supply chain finance has a broad market.In recent years,the supply chain financial financing service model based on third-party logistics enterprises came into being.Taking the most typical SF company as a case,this paper analyzes the supply chain financial model of SF company,and puts forward suggestions for its existing problems,in order to provide a theoretical basis for other logistics companies in China to carry out supply chain financial services.
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