|Table of Contents|

Empirical Study on Market Price Classification and Prediction of Traditional Chinese Medicine Based on Multiple Linear Regression Model

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2020年14
Page:
157-161
Research Field:
Publishing date:

Info

Title:
Empirical Study on Market Price Classification and Prediction of Traditional Chinese Medicine Based on Multiple Linear Regression Model
Author(s):
CUI Xusheng12DING Yinghui3GAO Xiuqiang2JIN Pengbo2GUO Yuhai1DONG Xuehui1
(1.College of Agronomy and Biotechnology,China Agricultural University,Beijing 100193;2.Shijiazhuang Yiling Pharmaceutical Co.Ltd.,Shijiazhuang,Hebei 050035;3.College of Economics,Hebei University,Baoding,Hebei 071002)
Keywords:
traditional Chinese medicinemultiple linear regression modelmarket price
PACS:
-
DOI:
10.11937/bfyy.20193701
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.

References:

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Last Update: 2020-09-16