Consumption level of rural residents in China and its influencing factors based on big data analysis

Yuhuan Yan

doi:10.47297/wspceWSP2516-251904.20250902

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Consumption level of rural residents in China and its influencing factors based on big data analysis

9卷第2期

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Consumption level of rural residents in China and its influencing factors based on big data analysis
Consumption level of rural residents in China and its influencing factors based on big data analysis
Jinzhong College of Information, Jinzhong, Shanxi, China, 030800
2025年9卷第2期页码：22-29
纸质出版日期：2025-04-28
DOI：10.47297/wspceWSP2516-251904.20250902
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(2025). Consumption level of rural residents in China and its influencing factors based on big data analysis. 创意经济（英文版）, 9(2), 22-29.

Yan Yuhuan.Consumption level of rural residents in China and its influencing factors based on big data analysis[J].Creative Economy,2025,09(02):22-29.
(2025). Consumption level of rural residents in China and its influencing factors based on big data analysis. 创意经济（英文版）, 9(2), 22-29. DOI： 10.47297/wspceWSP2516-251904.20250902.

Yan Yuhuan.Consumption level of rural residents in China and its influencing factors based on big data analysis[J].Creative Economy,2025,09(02):22-29. DOI： 10.47297/wspceWSP2516-251904.20250902.

摘要

Abstract

Under the background of the implementation of the rural revitalization strategy

China's rural economy has developed rapidly and farmers' incomes has grown steadily. Meanwhile

factors like the popularization of online shopping have provided rural residents with more consumption choices

leading to a stable rise in their consumption level. This paper analyzes the consumption situation of rural residents in China by applying the multivariate linear regression model and analyzes the potential factors affecting the consumption level of rural residents. In terms of research methods

this paper first visually presents the relevant statistical analysis indicators of the rural consumption level

depicting the current situation and development trends of agriculture and rural areas in China. Then

it assesses the importance of the collected influencing factors using the random forest method. Subsequently

it identifies relatively crucial influencing factors for regression analysis. Eventually

through the integration of the outcomes of visualization and regression analysis

this study provides some theoretical underpinnings and decision - making references for the promotion of the rural revitalization strategy.

关键词

Keywords

references

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