ArticlePloS one2025
The impact of the rural digital economy on China's new-type urbanization.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Chinese government is vigorously implementing the rural revitalization strategy and accelerating the process of new-type urbanization. The rapid development of the rural digital economy has emerged as a new driving force for new-type urbanization. This study aims to explore how the rural digital economy impacts China's new-type urbanization from direct, heterogeneous, and indirect perspectives. Using the provincial-level panel data in China from 2014 to 2022, a mixed-methods approach is employed for the empirical research. The CRITIC and Entropy TOPSIS are used to assess the comprehensive development level and temporal characteristics of the rural digital economy and new-type urbanization. Moreover, a global-local auto-correlation analysis is carried out to depict the spatial distribution of the two variables. Subsequently, a two-way fixed effects model is constructed to verify the direct impact of the rural digital economy on new-type urbanization, as well as its structural and spatial heterogeneity characteristics. Finally, an mediating effect model is established to explore the impact paths through which the rural digital economy impacts new-type urbanization. The results show that the rural digital economy has significantly promoted new-type urbanization. Specifically, rural digital infrastructure, digital transformation of agriculture, agricultural production service informatization have a significant positive effect, while the role of rural life digitization is not significant. The rural digital economy has more significant positive impact on population agglomeration and economic growth, followed by social public service, but has no significant impact on ecological environmental protection and urban-rural coordination. Additionally, the qualitative analysis identifies geographical region, poverty, demographic structure and social equality as notable influencing factors in this impact. Further mechanism analysis result indicates that the rural digital economy impacts new-type urbanization through rural human capital improvement, agricultural economic growth and rural industrial structure upgrading. This research contributes to the existing body of knowledge by providing the practical path of rural development to promote new-type urbanization in the context of the digital economy, also clarifies the weak points and key links in this process. It also highlights the need for further research into the institutional factors that influence this relationship to enhances the policy applicability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.