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作 者:李玥 LI Yue(School of Economics and Management,Xi’an Mingde Institute of Technology,Xi’an 710124,China)
机构地区:[1]西安明德理工学院经济与管理学院,西安710124
出 处:《湖北农业科学》2023年第4期175-179,共5页Hubei Agricultural Sciences
基 金:陕西省教育厅2021年度科学研究计划项目(21JK0194);教育部产学合作协同育人项目(220602458131040)。
摘 要:因部分农产品具有投资价值而容易产生高价格泡沫给产品定价带来风险,而提出了一种改进的上确界单位根检验法测度价格泡沫的持续时间及强度,并借助BP-TOPSIS模型分析茶叶价格的影响因素,从而对其进行智能定价计算。结果表明,产品1和产品2的GSADF值分别为14.10和13.42,均高于其对映的模拟临界值(2.35),因此表明2种产品均存在一定程度的价格泡沫,且产品1具有高投资价值,其价格泡沫取值为320~1770元,远高于具备直接消费价值的产品2,产品1在泡沫破裂上处于高风险等级,从而验证模型在防范泡沫破裂风险问题上的有效性。Considering that some agricultural products were prone to high price foam due to their investment value,which would bring risks to product pricing,an improved supremum unit root test to measure the duration and intensity of price foam was proposed,and the influencing factors of tea prices with the help of bp-topsis model was analyzed,so as to carry out intelligent pricing calculation.The results showed that the GSADF values of product 1 and product 2 were 14.10 and 13.42 respectively,which were both higher than the corresponding simulation critical value of 2.35.Therefore,it indicated that there was a certain degree of price foam in both prod⁃ucts.Moreover,product 1 had a high investment value,and its price foam value was between 320 and 1770 yuan,which was much higher than that of product 2 with direct consumption value.Therefore,product 1 was at a high risk level in terms of foam burst.Thus the effectiveness of the model in preventing the risk of foam burst was verified.
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