Research Article
Research on the Correlation Between China's Meat Non-staple Food Prices Based on Univariate Regression
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322723, author={Fachao Li and Liqun Chen}, title={Research on the Correlation Between China's Meat Non-staple Food Prices Based on Univariate Regression}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={relevance; meat prices; pork market; quantile regression}, doi={10.4108/eai.17-6-2022.2322723} }- Fachao Li
Liqun Chen
Year: 2022
Research on the Correlation Between China's Meat Non-staple Food Prices Based on Univariate Regression
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322723
Abstract
In recent years, the price of non-staple foods for meat in China has fluctuated frequently, which has brought a greater impact on the daily consumption of residents. The author of this article selected the monthly prices of pork, beef, mutton and chicken in China in the past 20 years, and used a linear regression model and a quantile regression model to empirically analyze the price correlation between pork and other meats. The linear regression results show that all meat prices are significantly correlated with pork prices in the same direction; quantile regression results show that the parameter values of the median regression model are closer to the correlation when the pork market is running smoothly; in the lower quartile, only chicken prices and pork prices have a significant correlation, while beef and mutton prices have a weak correlation with pork prices; at the upper quartiles, all meat prices are closely related to pork prices. The results show that using the quantile regression model can dig deeper into the relationship between meat prices.