A Study on the Influencing Factors and Spatial Development Differences of Cold Chain Logistics Demand for Fresh Agricultural Products in China:Based on Grey Correlation Degree and Principal Component Analysis
A Study on the Influencing Factors and Spatial Development Differences of Cold Chain Logistics Demand for Fresh Agricultural Products in China:Based on Grey Correlation Degree and Principal Component Analysis
The demand for cold chain logistics of agricultural products is influenced by multiple fac-tors.Clarifying the key factors affecting the demand for cold chain logistics of agricultural products in China is of great significance for promoting the coordinated and efficient development of cold chain lo-gistics of agricultural products in various provinces and cities.Taking 30 provinces and cities across the country as research objects,collecting panel data from 2017 to 2023,constructing an indicator system for the influencing factors of agricultural cold chain logistics demand,and using grey correlation degree to calculate the degree of correlation between each indicator and the dependent variable;Using princi-pal component analysis to extract key factors,constructing a regression equation model for the demand of agricultural cold chain logistics,and finally analyzing the spatial differences in the development level of agricultural cold chain logistics in 30 provinces and cities in China,proposing countermeasures and suggestions to promote the high-quality development of agricultural cold chain logistics in China.
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