The fluctuation in the prices of agricultural products can influence people's consumption level and the national food security, especially the rising of the price is the key factor to push CPI up. Taking ginger as the research objective, this study, uses Grey Prediction Model to study the historical price data of ginger and those related factors which lead to its price fluctuation and analyzes the tendency of price fluctuation by the relevance between the key factors and the price itself. The final purpose is to make a more accurate prediction about the price of ginger in China. The findings of this study can be used to give early warning to the fluctuation in the prices of agricultural products such as ginger, provide reference to rational planning of people's consumption and offer theoretical support for the government to set up related policies.
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