Research on the Influencing Factors of Express Delivery Entering Villages Based on Investigation
Year: 2025
Type: article
Study design: Observational Study
Abstract: This study enriches the theoretical research on logistics distribution, rural revitalization, regional economic coordinated development, and e-commerce logistics integration by analyzing the practice of "express delivery into villages", providing theoretical support for narrowing the urban-rural economic gap and promoting rural economic development. 'Express delivery to villages' can improve the rural logistics system, promote rural consumption upgrading, assist in the circulation of agricultural products, promote rural industrial revitalization, and enhance the quality of rural life, injecting new impetus into rural revitalization. In this data analysis, this report comprehensively sorted and analyzed the basic information of the sample population through descriptive statistical methods, and drew statistical charts to visually present the characteristics of the sample. The results showed that males accounted for 62% of the sample, with middle-aged and elderly people aged 46-60 dominating. The overall education level was relatively high, and there was a high demand for express delivery services in the Guanxu area. Further one-way ANOVA revealed a positive correlation between network distance and transportation impact, with Guanwei Town performing outstandingly in various indicators, indicating a positive attitude towards "express delivery into villages". The samples were divided into three categories through cluster analysis: positive support type, neutral balance type, and negative denial type. Finally, multiple ordered logistic regression analysis showed that the frequency of express delivery usage is positively correlated with express delivery fees.
DOI: 10.54097/034zmx21
Author: Junhui Huang
Institution: Guangdong ATV College of Performing Arts
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4415214907
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