» Articles » PMID: 39374210

Can the Digital Economy Contribute to Rural Revitalization? A Case of from China?

Overview
Journal PLoS One
Date 2024 Oct 7
PMID 39374210
Authors
Affiliations
Soon will be listed here.
Abstract

This study establishes a multi-dimensional evaluation index system for measuring digital economy and rural revitalization. It explores the impact of digital economy on China's rural revitalization and its mechanism using dynamic balanced panel data of 30 provinces and cities in China from 2012 to 2020 and adopting two-way fixed effect and mediated effect models. The results reveal that digital economy promotes rural revitalization in China; however, differences exist in its impact on industrial prosperity, ecological livability, civilized rural customs, effective governance, and affluent living under rural revitalization. Heterogeneity analysis shows that the impact of digital economy on rural revitalization is more pronounced in eastern China, with high levels of new urbanization and areas for big-data experimentation. In addition, this thesis verifies that technological innovation and human capital are two important transmission paths through which digital economy affects rural revitalization in China. The conclusions provide theoretical guidance and practical support for China and other developing countries to vigorously develop their digital economies and comprehensively revitalize the countryside.

Citing Articles

Correction: Can the digital economy contribute to rural revitalization? A case of from China?.

Lu Y, Meng Y, Chen L, Zhang Y PLoS One. 2025; 20(3):e0320390.

PMID: 40063601 PMC: 11892815. DOI: 10.1371/journal.pone.0320390.

References
1.
Yu W, Guan G, Wang Y, Wang Q . An analysis of the poverty reduction effects on land transfer: Evidence from rural areas in China. PLoS One. 2024; 19(2):e0298243. PMC: 10878517. DOI: 10.1371/journal.pone.0298243. View

2.
Baron R, Kenny D . The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986; 51(6):1173-82. DOI: 10.1037//0022-3514.51.6.1173. View

3.
Zhang X, Fan D . Can agricultural digital transformation help farmers increase income? An empirical study based on thousands of farmers in Hubei Province. Environ Dev Sustain. 2023; :1-27. PMC: 10107574. DOI: 10.1007/s10668-023-03200-5. View

4.
Du M, Huang Y, Dong H, Zhou X, Wang Y . The measurement, sources of variation, and factors influencing the coupled and coordinated development of rural revitalization and digital economy in China. PLoS One. 2022; 17(11):e0277910. PMC: 9704645. DOI: 10.1371/journal.pone.0277910. View

5.
Mazucheli J, Alves B, Menezes A, Leiva V . An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data. Comput Methods Programs Biomed. 2022; 221:106816. DOI: 10.1016/j.cmpb.2022.106816. View