Chinese Micro-enterprise Credit Rating Model and Empirical Analysis
Abstract:
Based on the existing researches on microfinance and characteristics
of Chinese micro-enterprises, this paper build a micro-enterprise credit rating
model by G1 method, which is a group decision assembly method. Then test the
model with data of 137 micro-enterprises from Henan Province of China. The results
show that the model is more reliable and accurate, which may provide a reference
for micro-enterprise credit management of Chinese commercial banks.
How to cite this article
Zhang Li, Cao Shuyan and Wang Kun , 2013. Chinese Micro-enterprise Credit Rating Model and Empirical Analysis. Journal of Applied Sciences, 13: 2959-2963.
REFERENCES
Fouillet, C., M. Hudon, B. Harriss-White and J. Copestake, 2013. Microfinance studies: Introduction and overview. Oxford Dev. Stud., 41: S1-S16.
CrossRef
Mark, S., 2004. Benefits and pitfalls of statistical credit scoring for microfinance. Savings Dev., 28: 63-86.
Angelini, E., 2007. Italian Banks' Credit Approach Towards Low-Income Consumers and Microenterprises: Is There a Bias Against Some Segments of Customers? In: New Frontiers in Banking Services, Anderloni, L., M.D. Braga and E.M. Carluccio (Eds.). Springer, Berlin, Germany, pp: 299-321
Baptista, J.A., J.J. Ramalho and J.V. Da Silva, 2006. Understanding the microenterprise sector to design a tailor-made microfinance policy for Cape Verde. Portuguese Econ. J., 5: 225-241.
CrossRef
Van Gool, J., B. Baesens, P. Sercu and W. Verbeke, 2009. An analysis of the applicability of credit scoring for microfinance. Katholieke Universiteit Leuven Leuven, Belgium. University of Southampton, Southampton, United Kingdom. http://www.aabri.com/OC09manuscripts/OC09042.pdf.
Copestake, J., 2007. Mainstreaming microfinance: Social performance management or mission drift? World Dev., 35: 1721-1738.
CrossRef
Sun, Q. and Z.J. Wang, 2006. An application of model LOGIT into the risk identification of small amount of agricultural credit. J. Nanjing Audit Univ., 3: 27-29.
Chen, L.W., 2008. Study and development of decision-tree algorithm on farmer credit evaluation. Comput. Eng. Appl., 44: 242-244.
Zuccaro, C., 2010. Classification and prediction in customer scoring. J. Modelling Manage., 5: 38-53.
CrossRef
Sabato, G., 2010. Assessing the quality of retail customers: Credit risk scoring models. IUP J. Financial Risk Manage., 7: 35-45.
Schreiner, M., 2000. Credit scoring for microfinance: Can it work? J. Microfinance Rev., 2: 105-118.
Zhi, H. and Z. Yang, 2011. Research on credit rating of SMEs based on combination evaluation. Proceedings of the International Conference on Business Management and Electronic Information, Volume 1, May 13-15, 2011, Guangzhou, China, pp: 661-664.
Wang, X.J. and Y.J. Guo, 2004. Aggregate analysis of group decision making based on G1 method. Chin. J. Manage. Sci., 12: 14-16.
Fan, M. and Y.C. Wang et al., 2010. SME credit rating model based on AHP method. Commun. Finance Account., 2: 53-55.
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