Analysis of spatial differentiation and influencing factors of rural industrial integration efficiency in China

Yuan Fang and Ying Yang

PLOS ONE, 2025, vol. 20, issue 12, 1-24

Abstract: The integrated development of rural industries is a primary method to accelerate rural revitalization, a practical path to promote agricultural and rural modernization, and an important means to build a strong agricultural nation. Based on the super-efficiency EBM model, rural industrial integration efficiency in the east, central and west regions of 31 provinces (municipalities and autonomous regions) in China from 2012 to 2022 is measured, and the spatial differentiation, dynamic distribution and influencing factors of rural industrial integration efficiency are analyzed by using Dagum Gini coefficient, Kernel density estimation and Tobit model, respectively. The study shows that the core driving forces of rural industrial integration efficiency in the east, central and west regions are pure technical, comprehensive and pure technical efficiency, respectively; hyper-variable density is the main source of spatial differentiation; serious divergence in rural industrial integration efficiency in the east; there is regional heterogeneity in the impact of different factors on the efficiency of rural industrial integration. It is necessary to strengthen the structure of financial inputs, establish an efficiency assessment system, and enhance the infrastructure and public services.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0336477 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 36477&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0336477

DOI: 10.1371/journal.pone.0336477

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().