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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 21 | Page No.: 4833-4838
DOI: 10.3923/jas.2013.4833.4838
An Empirical Study on Factors Affecting the Credit Level of Small Micro-enterprises in China
Ming Zhong, Wen-Wei Guo, Guang-hui Song and Jun-hui Xu

Abstract: This paper try to fully reveal the key factors affecting the credit level of small micro-enterprises form four features such as firm features, shareholder features, contract features and financial features by stepwise regression method. Innovation of this study is to construct credit evaluation model specially for small micro-enterprise which contained some important the financial indicators and non-financial indicators. The results show that the credit of small micro-enterprises has closely relationship with those four features. Those features of small micro-enterprises such as enterprises’ size (net asset and sales), profitability (return on asset, return on net assets) and solvency (net cash flow to current liabilities) have significantly positive affect on its credit level. However, some features such as shareholders holding ratio, the proportions of major shareholders and mortgage-backed approach have significantly negative affect on its credit level.

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How to cite this article
Ming Zhong, Wen-Wei Guo, Guang-hui Song and Jun-hui Xu, 2013. An Empirical Study on Factors Affecting the Credit Level of Small Micro-enterprises in China. Journal of Applied Sciences, 13: 4833-4838.

Keywords: Small micro-enterprise, credit level and factor

REFERENCES

  • Altman, E.I., 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J. Finance, 23: 589-609.
    CrossRef    Direct Link    


  • Altman, E.I., R.G. Haldeman and P. Narayanan, 1977. ZETATM analysis a new model to identify bankruptcy risk of corporations. J. Bank. Finance, 1: 29-54.
    CrossRef    


  • Beaver, W.H., 1966. Financial ratios as predictors of failure. J. Account. Res., 4: 71-111.
    Direct Link    


  • Xiao, C. and J. Zhaodi, 2008. The relationship between entrepreneurial orientation of new enterprises and the use of resources based on resource developing process. Sci. Manage. Sci. Technol., 8: 98-102.


  • Chan, J., 1999. An empirical analysis of listed company's financial deterioration forecast. J. Account. Res., 82: 31-38.


  • Chan, X. and Z.H. Chan, 2001. Financial early-warning research on the small and medium companies based on CHAID method. Econ. Manage. Res., 3: 50-54.


  • Liu, J.J. and Y.S. Qin, 2006. Financial distress possibility research on listed-companies. J. Financial Res., 11: 44-52.


  • Lv, C.J. and Y. Zhao, 2004. Survival analysis of the special dealing with China's listed companies. China Account. Rev., 2: 310-328.


  • Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. J. Finance, 29: 449-470.
    Direct Link    


  • Ohlson, J.A., 1980. Financial ratios and the probabilistic prediction of bankruptcy. J. Account. Res., 18: 109-131.
    Direct Link    


  • Ren, Z.Z. and S.J. Yang, 2006. SBP model research on Commercial bank credit default risk measure. J. Financial Res., 11: 127-134.


  • Shumway, T., 2001. Forecasting bankruptcy more accurately: A simple hazard model. J. Bus., 74: 101-124.
    Direct Link    


  • Hamilton, J.T. and W.K. Viscusi, 1999. Are risk regulators rational evidence from hazardous waste cleanup decisions. Am. Econ. Rev., 89: 1010-1027.


  • Westgaard, S. and N. van der Wijst, 2001. Default probabilities in a corporate bank portfolio: A logistic model approach. Eur. J. Oper. Res., 135: 338-349.
    CrossRef    Direct Link    


  • Wu, S.N. and X.Y. Lu, 2001. Financial distress prediction model of China's listed companies. Econ. Res. J., 7: 46-56.


  • Yu, L.Y. and J.H. Zhan, 2004. Logistic regression analysis based on the probability of default prediction. Finance Res., 30: 15-23.


  • Zhang, A.M. and C.S. Zhu, 2001. Main financial failure component-prediction models of and empirical research on Listed companies. J. Financial Res., 3: 10-25.


  • Zhang, J.L., Caili and X. Zhu, 2008. Relationship between Social networks, access to resources and new enterprises performance. Ind. Technol. Econ., 27: 87-90.

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