發(fā)布時間：2018-04-22 15:59

  本文選題：物流金融 + 存貨質押融資��； 參考：《大連交通大學》2015年碩士論文

【摘要】：國內物流業(yè)的迅速發(fā)展導致了競爭的日益加劇。傳統(tǒng)貨運倉儲業(yè)務的利潤受到極大地擠壓,將物流與金融結合到一起的物流金融因為具有較高的附加值而成為物流企業(yè)追逐新的利潤源泉。目前物流金融正成為物流學界研究的熱點。眾多學者對其進行了多方的研究,但基本上都是在定性研究的層面上,如主要探討物流金融的優(yōu)點與模式,而在定量層面上的研究鮮有所見。正是由于定量研究的滯后,給物流金融服務的推廣帶來了制約,如何在物流金融服務參與各方之間進行利益分配以擴大整體的福利顯得尤為重要�；谶@種情形,本文通過研究建立起由物流企業(yè)和融資企業(yè)參與并且由物流企業(yè)主導的物流金融業(yè)務,通過定量分析融資Stackelberg模型,為其推廣提供數(shù)據(jù)分析依據(jù)。金融機構在整個物流金融的過程中,只有當物流企業(yè)資金缺乏時,會產(chǎn)生單方面的授信融資行為,對物流企業(yè)進行融資。對融資企業(yè)而言,金融機構是完全不參與的。在這個新的物流金融體系內,參與雙方擁有著完全的信息,這就大大減少了在有金融機構參與下的存在的手續(xù)多,信息不對稱,流程長,存在風險大的問題,更有利于物流金融業(yè)務的發(fā)展。本文將物流金融服務參與方分為信貸方和貸款方,其中物流企業(yè)作為統(tǒng)一信貸方,資金需求的中小企業(yè)作為服務貸款方。本文先對現(xiàn)有的物流金融服務模式進行總結和分析,并建立起在MCA理論下的物流金融模式,根據(jù)新模式建立起新的物流金融融資模型即存貨質押融資的Stackelberg模型,應用BP神經(jīng)網(wǎng)絡分析方法對融資Stackelberg模型進行評估,本文的最終目的是通過模型分析來說明新的融資模式的優(yōu)點,以及總結當前物流金融市場存在的問題,來探討新模式能夠解決的問題,新模式實施的可行性評估和分析。
[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.
【學位授予單位】：大連交通大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F259.2;F832.4

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本文編號：1787911