Research Article
Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326930, author={Zhenzhen Hong and Xuecheng Wang}, title={Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={aquatic product price; cold chain infrastructure; factors analysis}, doi={10.4108/eai.18-11-2022.2326930} }- Zhenzhen Hong
Xuecheng Wang
Year: 2023
Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326930
Abstract
Based on the panel data of 29 provinces in China from 2017 to 2019, a multiple linear regression model is established. It uses the stepwise regression method to analyze the factors that affect aquatic product price. The result shows that the refrigeration capacity of aquatic cold storage, the number of cold chain logistics enterprises and vehicles, the number of aquatic seedlings, the output of aquatic products, the processing capacity of aquatic products, the price of substitutes and coastal factors have a positive correlation with aquatic price. The negative correlation variables include cold storage capacity, ice-making capacity, freezing capacity, urbanization level and residents’ income level. The study is meaningful to balance between the supply and demand of aquatic products and promote the construction of cold chain infrastructure.