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Academic Journal of Business & Management, 2023, 5(14); doi: 10.25236/AJBM.2023.051423.

Research on Cold Chain Logistics Demand under the Context of New Retail


Haodong Yu

Corresponding Author:
Haodong Yu

Department of Statistics, Guangxi University, Guilin, 541006, China


This article uses the relevant indicators of cold chain logistics and socio-economic development indicators in Zhejiang Province from 2000 to 2021. First, it screens the indicators through correlation analysis and multiple linear regression, and then solves multicollinearity through principal component analysis to obtain the prediction equation for the demand of cold chain logistics. Finally, a grey prediction model is established to predict the development trend of the indicators for the next four years, thereby obtaining the dynamic forecast values of cold chain logistics demand under the new retail background. Lastly, based on the development trend of cold chain logistics nationwide over the next four years, this study provides feasible suggestions for the development of China's cold chain logistics industry.


New Retail; Cold Chain Logistics; Principal Component Analysis; Multiple Linear Regression; Grey Prediction

Cite This Paper

Haodong Yu. Research on Cold Chain Logistics Demand under the Context of New Retail. Academic Journal of Business & Management (2023) Vol. 5, Issue 14: 142-148. https://doi.org/10.25236/AJBM.2023.051423.


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