Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China

Jiamin Ren, Chenrouyu Zheng, Fuyou Guo, Hongbo Zhao, Shuang Ma and Yu Cheng ()
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Jiamin Ren: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Chenrouyu Zheng: Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China
Fuyou Guo: School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China
Hongbo Zhao: Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation, Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China
Shuang Ma: Institute of Agricultural Information and Economics, Shandong Academy of Agricultural Sciences, Jinan 250100, China
Yu Cheng: College of Geography and Environment, Shandong Normal University, Jinan 250358, China

IJERPH, 2022, vol. 19, issue 23, 1-16

Abstract: The new development mode represented by the digital economy has provided new ideas for sustainable rural development. To comprehensively understand the status of digital rural development and propose scientific measures of rural revitalization in the Yellow River Basin (YRB), this study used counties as the research unit and data from 2020 to analyze the spatial differentiation characteristics and influencing factors by employing the Theil index, spatial autocorrelation analysis, and a geodetector model. The results showed that the digital rural development index in the YRB is slightly higher than it is in China overall, but the sub-index for the digital economy is lagging. The levels of digital rural development in the different reaches were lower reaches > middle reaches > upper reaches. Additionally, municipal districts and county-level cities have higher statuses than t general counties. Moreover, the decomposition of the Theil index shows that the intra-group differences in the upper reaches and general counties are the most important cause of the total differences. Moreover, the levels of digital rural development demonstrate spatial differences, with high and low levels in the east and west, respectively. An obvious reliable spatial correlation exists, and the spatial agglomeration featured with a similar level is significant. Finally, the influencing factors of spatial heterogeneity of digital rural development in the YRB and different reaches were different, with government expenditure being the main leading factor in the YRB and its upper reaches, while educational attainment and industrial structure are the leading factors in the middle reaches and lower reaches, respectively. The explanatory power of the interactions between the factors far exceeds that of a single factor, as shown through double-factor and nonlinear enhancement. This study provides a scientific reference for facilitating more targeted policy measures to achieving the goal of digital China and rural revitalization.

Keywords: digital rural; spatial heterogeneity; geodetector; influencing factors; Yellow River Basin (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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