Research On Model Of Agricultural Supply Chain Finance Based On Stackelberg Game Models

Agriculture is the foundation of our national economy, plays an important role in China’s national economic development.In recent years, China’s agriculture showed a trend of rapid development of industrialization, agricultural development is inseparable from financial support, agricultural SME demand for capital is also increasing.As agriculture itself inherently low income, high cost, high risk and periodicity particularity,Resulting in China’s agricultural enterprises are generally small-scale, low-prestige, low capacity, high-risk, making it difficult to obtain financing from capital markets,Financing difficulties have become an obstacle to the development of SMEs in China’s agricultural bottleneck.Agricultural supply chain finance appear to ease the financing difficulties of SMEs in the agricultural issue provides an effective way.In the framework of Stackelberg game model,Based on research "subject + debt" approach,Construction of two modes inventory financing commercial banks,agricultural finance companies expected profit model.Further use of backward induction method for solving the optimal financing corporate and commercial banking optimal decisions pledge rate decisions, and discussed optimal decisions under conditions of risk control at the side of banks.Numerical simulation based on the utilization of the previous text of this article to calculate the optimal decision-making and financing companies and commercial banks, and study the relationship between their respective decision-making and loan interest rates and financing corporate credit risk parameters.The results show that random fluctuations in prices of agricultural products,banks and finance companies there is an optimal decision-making. The best decision-making and financing rates positively correlated with duration of pledge financing, financing corporate credit risk a negative correlation.The results have a certain theoretical reference value and practicality for the Bank and Agricultural SMEs financing decisions.