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A Forecast Model of Agricultural and Livestock Products Price

机译:农业和畜产品价格预测模型

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The frequent and excessive fluctuation of agricultural and livestock products price is not only harmful to residents living, but also affects CPI (Consumer Price Index) values, and even leads to social crisis, which influences social stability. Therefore it is important to forecast the price of agriculture and livestock products. As a result, we made a research on the factors affecting agricultural and livestock products price, established a forecasted model of agricultural and livestock products price, and developed its early-warning system which is suitable to China. Considering the direct relationship between the price and the output, multiple linear regression method was adopted to study this problem. The model is composed of three sub-models. This paper puts forward the concept of price equilibrium coefficient C_0, which describes the degree to which people accepting the forecasted price. With the establishment of the standard for the influence of price fluctuation, the influence of price fluctuation is measured. Each range of the C_0 value corresponds with a specific result, which may informs the government with the danger of price fluctuation. As a result, the model can early-warn the price rising caused by crop reduction due to sudden natural disaster, which may induce social turmoil and crisis. If the forecasted price rises heavily, the government should take measures to avoid crisis. This paper offers the method to control future price. Finally, a forecasted model of pork price is calculated with simulated data. The forecasted result is in good agreement with actual situation.
机译:农业和牲畜产品价格的频繁和过度波动不仅对居民生活有害,而且影响CPI(消费者价格指数)的价值观,甚至导致社会危机影响社会稳定。因此,重要的是预测农业和畜产品的价格。因此,我们对影响农业和畜产品价格的因素进行了研究,建立了一个预测的农业和牲畜产品价格,并开发了其适合中国的预警系统。考虑到价格与产出之间的直接关系,采用多元线性回归方法来研究这个问题。该模型由三个子模型组成。本文提出了价格均衡系数C_0的概念,它描述了人们接受预测价格的程度。随着价格波动影响的标准,测量价格波动的影响。 C_0值的每个范围对应于特定结果,这可以向政府通知价格波动的危险。因此,该模型可以早发突然自然灾害导致的作物减少造成的价格上升,这可能会引起社会动荡和危机。如果预测价格严重上升,政府应采取措施避免危机。本文提供了控制未来价格的方法。最后,利用模拟数据计算了预测的猪肉价格模型。预测结果与实际情况吻合良好。

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