CUI Xusheng,DING Yinghui,GAO Xiuqiang,et al.Empirical Study on Market Price Classification and Prediction of Traditional Chinese Medicine Based on Multiple Linear Regression Model[J].Northern Horticulture,2020,44(14):157-161.[doi:10.11937/bfyy.20193701]
基于多元线性回归模型的中药材市场价格分类预测实证研究
- Title:
- Empirical Study on Market Price Classification and Prediction of Traditional Chinese Medicine Based on Multiple Linear Regression Model
- 文献标志码:
- A
- 摘要:
- 以多元线性回归模型为基础，针对不同类型中药材，以板蓝根、红景天、山茱萸、人参为典型代表，重点研究了其价格影响因素、影响方式和影响程度，并对模拟价格和真实价格进行了对比研究。结果表明：多元线性回归模型可以进行中药材市场价格的定性和定量判断；不同类型中药材市场价格影响因素具有差异性，并且每种类型药材均有其市场价格的特殊影响因素。
- Abstract:
- Based on the multiple linear regression model，aiming at different types of Chinese medicinal materials，the study focused on the price influencing factors，influencing mode and influencing degree of Radix isatidis,Rhodiola officinalis,Cornus officinalis and Panax ginseng.The simulated price and the real price were compared and studied.The results showed that the multiple linear regression model could be used to judge the market price of traditional Chinese medicine qualitatively and quantitatively，and the influencing factors of market price of different types of traditional Chinese medicine were different，and each type of medicinal material had its own special influencing factors of market price.
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备注/Memo
第一作者简介：崔旭盛（1986-），男，博士，高级农艺师，现主要从事中药材资源与市场信息等研究工作。E-mail：cuixushengangel@163.com.责任作者：董学会（1965-），男，博士，教授，博士生导师，现主要从事中药材栽培与生理等研究工作。E-mail：xuehuidong@cau.edu.cn.基金项目：国家重点研发计划资助项目（2017YFC1701700）；国家中药标准化资助项目（ZYBZH-C-HEB-12）；河北省重点研发计划资助项目（19226433D）。收稿日期：2019-12-02