物流金融盈利新模式的研究

发布时间：2018-04-22 15:59

本文选题：物流金融 + 存货质押融资　；参考：《大连交通大学》2015年硕士论文

【摘要】：国内物流业的迅速发展导致了竞争的日益加剧。传统货运仓储业务的利润受到极大地挤压,将物流与金融结合到一起的物流金融因为具有较高的附加值而成为物流企业追逐新的利润源泉。目前物流金融正成为物流学界研究的热点。众多学者对其进行了多方的研究,但基本上都是在定性研究的层面上,如主要探讨物流金融的优点与模式,而在定量层面上的研究鲜有所见。正是由于定量研究的滞后,给物流金融服务的推广带来了制约,如何在物流金融服务参与各方之间进行利益分配以扩大整体的福利显得尤为重要。基于这种情形,本文通过研究建立起由物流企业和融资企业参与并且由物流企业主导的物流金融业务,通过定量分析融资Stackelberg模型,为其推广提供数据分析依据。金融机构在整个物流金融的过程中,只有当物流企业资金缺乏时,会产生单方面的授信融资行为,对物流企业进行融资。对融资企业而言,金融机构是完全不参与的。在这个新的物流金融体系内,参与双方拥有着完全的信息,这就大大减少了在有金融机构参与下的存在的手续多,信息不对称,流程长,存在风险大的问题,更有利于物流金融业务的发展。本文将物流金融服务参与方分为信贷方和贷款方,其中物流企业作为统一信贷方,资金需求的中小企业作为服务贷款方。本文先对现有的物流金融服务模式进行总结和分析,并建立起在MCA理论下的物流金融模式,根据新模式建立起新的物流金融融资模型即存货质押融资的Stackelberg模型,应用BP神经网络分析方法对融资Stackelberg模型进行评估,本文的最终目的是通过模型分析来说明新的融资模式的优点,以及总结当前物流金融市场存在的问题,来探讨新模式能够解决的问题,新模式实施的可行性评估和分析。
[Abstract]:The rapid development of domestic logistics industry leads to the increasingly fierce competition. The profits of the traditional freight warehousing business are greatly squeezed. Logistics finance which combines logistics and finance has become a new source of profit for logistics enterprises because of its high added value. At present, logistics finance is becoming a hot spot in the field of logistics. Many scholars have carried on the multi-party research, but basically are in the qualitative research level, such as mainly discusses the logistics finance the merit and the pattern, but in the quantitative aspect research has not seen. It is the lag of quantitative research that restricts the promotion of logistics financial services. How to distribute the benefits among the parties involved in the logistics financial services to expand the overall welfare is particularly important. Based on this situation, this paper establishes the logistics financial business which is participated by logistics enterprises and financing enterprises and is dominated by logistics enterprises, and provides the data analysis basis for its popularization by quantitative analysis of financing Stackelberg model. In the whole process of logistics finance, only when the logistics enterprises lack of funds, they will produce unilateral credit financing behavior to finance the logistics enterprises. For financing enterprises, financial institutions are completely out of the way. In this new logistics financial system, both parties have complete information, which greatly reduces the number of procedures that exist with the participation of financial institutions, the asymmetry of information, the long process and the existence of high risk problems. More conducive to the development of logistics financial services. In this paper, the participants of logistics financial services are divided into credit party and loan party, in which logistics enterprise is the unified credit party, and small and medium-sized enterprise with capital demand is the service lender. This paper first summarizes and analyzes the existing logistics financial service model, and establishes the logistics finance model under the MCA theory. According to the new model, it establishes a new logistics finance financing model, that is, the Stackelberg model of inventory pledge financing. BP neural network analysis method is used to evaluate the financing Stackelberg model. The ultimate purpose of this paper is to explain the advantages of the new financing model and summarize the existing problems in the current logistics financial market through the model analysis. To explore the new model can solve the problems, the implementation of the new model feasibility assessment and analysis.
【学位授予单位】：大连交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F259.2;F832.4

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