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<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Based on the construction and development of digital economy-enabled rural industry revitalization in a region, this paper conducts theoretical analysis on the...

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

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 01. Apr. 2024

Akzeptiert: 27. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2143

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

© 2024 Yixing Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 01. Apr. 2024

Akzeptiert: 27. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2143

SchlüsselwörterEntropy weight method, Evaluation index system, Regression measurement model, Digital economy

© 2024 Yixing Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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