Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

August 5, 2024


Pages


DOI

Article

Research and Practice of Digital Economy Helping Rural Industry Revitalization in the Information Age

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Authors

Yixing Zhao Affiliation:
Haikou University of Economics, Haikou, Hainan, 571132, China.


Abstract

Based on the construction and development of digital economy-enabled rural industry revitalization in a region, this paper conducts theoretical analysis on the degree of promotion of rural industry revitalization from three aspects, namely, production conditions, capacity, and benefits. In order to verify the influence mechanism of the digital economy on rural industry revitalization, a regression measurement model oriented to the digital economy and rural revitalization is constructed based on the evaluation index system, and the entropy weight method is used to calculate the comprehensive evaluation index of rural industry revitalization and the comprehensive evaluation index of the digital economy. Determine the variables and data sources and conduct an empirical analysis of the digital economy contributing to rural revitalization from the perspective of informationization. The data show that the mean value of the digital economy index (Dige) is 0.2482, the minimum value is 0.0043, and the maximum value is 0.951, indicating that there are large differences in the development of the digital economy among different regions and that the eastern region has a more significant advantage in the rural industry (0.2258) as well as in the digital economy (0.3076), compared with the western region and the central region. In addition, the R² of the baseline regression (Model 1) is 0.5782, and the R² after replacing the explanatory variables using the entropy method index (Model 2) is 0.6881, based on the results suggesting that the development of the digital economy has a facilitating effect on the development of rural industries. The efficiency of resource utilization in rural areas is improved by this study, which releases the potential for agricultural development and further promotes the strategy of rural revitalization.


Keywords

Entropy weight method, Evaluation index system, Regression measurement model, Digital economy, 11A63


Citation

Zhao, Y. (2024). Research and practice of digital economy helping rural industry revitalization in the information age. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2143

Published by: Engineering Journals

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