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The Eastern Region Of Small Enterpirse Financing Influence Factors Analysis Based On Data Mining

Posted on:2015-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:H B WangFull Text:PDF
GTID:2269330428457431Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
Small and medium-sized enterprises is an important part of our national economy, has alarge enterprise irreplaceable position to promote rapid economic growth, maintain marketprosperity, expand employment and increase tax.However, due to the restrictions of thecountry’s financial policy, people the bondage of traditional ideas and problems of small andmedium-sized enterprise itself, the relatively narrow financing channel, serious shortage ofexogenous money has become the main bottleneck restricting the development of small andmedium-sized enterprises.Although the national and local has a lot of support policy of "smalland medium-sized enterprises", but small and medium-sized enterprise financing difficultproblem has not been solved very well, therefore, to explore the influential factors of smalland medium-sized enterprises financing is still of great practical significance.The eastern region is the most developed area of economy and society in our country, thethree "engine" of economic development in China-the Yangtze river delta economic zone,the pearl river delta economic belt and beijing-tianjin-hebei economic zone are all located inthe eastern region.From the point of data, both in economy and population density, the easternregion has an absolute advantage.So the eastern region as clusters of population and economyin our country, in the pattern of regional economy in our country occupies the importantposition.However, the eastern region of small and medium-sized enterprises also face ashortage of funds, the number of small and medium-sized enterprise loans has been at a lowproportion.Therefore, choose a sample of the eastern region to other economic regions solvethe problem of financing difficulties of small and medium-sized enterprises is of certainreference and guidance significance.In this paper,on the basis of many scholars in the previous study, using the panel datamodel and data mining algorithm, separately from the external and internal two aspects to findthe main factors affecting the eastern region of small and medium-sized enterprisefinancing.First of all, the use of ten eastern provinces (municipalities),2003-2012panel datato establish a panel model, concluded that bank concentration rose1%, could cause the smalland medium-sized enterprise loan cut down1.02%;financial scale increase1%, can cause small and medium-sized enterprise loans increased by0.45%;a1%increase in capital market,cause small and medium-sized enterprise loans increased by2.69%;economies of scale has noeffect on small and medium-sized enterprise loans. Then use the panel model,CART andassociation rules algorithm in data mining, using the eastern region of small andmedium-sized board listed companies data analysis the internal factors influencing the smalland medium-sized enterprise financing, the conclusion is the enterprise’s own accumulationability, growth ability and assets are the most important factors for small and medium-sizedenterprises get loans.Finally, according to the results of the model from two aspects of policymakers and small and medium-sized enterprise own countermeasures and Suggestions aregiven.
Keywords/Search Tags:Data mining Small and medium-sized enterprise Financing, Classification andregression tree, Association rules
PDF Full Text Request
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