Risk Assessment of Agricultural Products Supply-Chain Finance Based on D-S Theory

Yuan Zhang^1*, Lian Duan², Gefu Zhang¹

¹School of Economics and Management, University of South China, Hengyang, China.
²The Agricultural Bank of China, Hengyang, China.

DOI: 10.4236/ajcm.2014.44031                

Abstract

Agricultural products supply-chain finance, as one of the solutions to the issue of “capital problems” of agriculture, countryside and farmers, has proposed a kind of characteristics model to assess the risk of agricultural production, processing and marketing, which can improve the issue of farmers and enterprises lacking of funds. This model is proposed on the basis of uncertain information processing method of D-S theory and its data combination rules, combined with the “discount rate” correction model, and it includes a risk assessment index system of agricultural products supply-chain finance, fully considering the five aspects of production, processing, marketing, cooperation of supply chain and collateral. At last, a taro supply chain is taken for example. And the risk assessment of its supply-chain finance based on this model has been discussed in detail. And the result has proved that the model and its algorithm are practical and feasible.

Keywords

Supply-Chain Finance, Risk, Agricultural Products, Taro, D-S Theory

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Zhou, C. (2012) Build a Policy Support System and Fill the Blank of the Financial Services. Financial Times, 28 August 2012.
[2]	Angelucci, F. and Conforti, P. (2010) Risk Management and Finance along Value Chains of Small Island Developing States. Evidence from the Caribbean and the Pacific. Food Policy, 12.
[3]	Yang, J.R. (2013) The Strategic Choice of Rural Financial Product Innovation Based on the Financial Perspective of Supply Chain. Finance and Economics, 3.
[4]	Y. Wang, (2012) Do a Good Job in Financial Support of Agricultural Products Supply Chain. Securities Times, 27 December 2012.
[5]	Li, B. and Pang, F.-W. (2013) An Approach of Vessel Collision Risk Assessment Based on the D-S Evidence Theory. Ocean Engineering, 12.
[6]	Gao, H.S. and Zhu, J. (2008) A Kind of Network Security Risk Assessment Model Based on D-S Evidence Theory. Computer Engineering and Applications, 6.
[7]	Li, Y.X. (2011) Supply Chain Finance Risk Assessment. Journal of Central University of Finance and Economics, 10.
[8]	Tian, J.H. (2013) Supply Chain Finance and Its Credit Risk Control. Zhejiang Industry and Commerce University, Hangzhou.