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

被引:8
|
作者
Ren, Jiamin [1 ]
Zheng, Chenrouyu [2 ,3 ]
Guo, Fuyou [4 ]
Zhao, Hongbo [5 ,6 ]
Ma, Shuang [7 ]
Cheng, Yu [1 ]
机构
[1] Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China
[2] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130012, Peoples R China
[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[4] Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China
[5] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Ctr Yellow River Civilizat Jointly Built Henan Pro, Minist Educ, Kaifeng 475001, Peoples R China
[6] Henan Univ, Minist Educ, Kaifeng 475001, Peoples R China
[7] Shandong Acad Agr Sci, Inst Agr Informat & Econ, Jinan 250100, Peoples R China
基金
中国国家自然科学基金;
关键词
digital rural; spatial heterogeneity; geodetector; influencing factors; Yellow River Basin;
D O I
10.3390/ijerph192316111
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Study on the Effects and Influencing Factors of the Economic Spatial Correlation Network in the Yellow River Basin
    Renquan HUANG
    Qian ZENG
    Yinong SI
    Journal of Systems Science and Information, 2024, 12 (05) : 690 - 708
  • [22] Spatial Spillover Effect of Carbon Emissions and Its Influencing Factors in the Yellow River Basin
    Gong, Wei-Feng
    Fan, Zhen-Yue
    Wang, Chuan-Hui
    Wang, Li-Ping
    Li, Wen-Wen
    SUSTAINABILITY, 2022, 14 (06)
  • [23] Spatial distribution characteristics and influencing factors of intangible cultural heritage in the Yellow River Basin
    Wang, Xiaorui
    Zhang, Tianjiao
    Duan, Liangrong
    Liritzis, Ioannis
    Li, Jiangsu
    JOURNAL OF CULTURAL HERITAGE, 2024, 66 : 254 - 264
  • [24] Spatiotemporal characteristics of ecological resilience and its influencing factors in the Yellow River Basin of China
    Lu, Fei
    Liu, Qi
    Wang, Pengcheng
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [25] Changes and influencing factors of the sediment load in the Xiliugou basin of the upper Yellow River, China
    Yao, Haifang
    Shi, Changxing
    Shao, Wenwei
    Bai, Jianbin
    Yang, Hui
    CATENA, 2016, 142 : 1 - 10
  • [26] Spatial Differentiation and Influencing Factors Analysis of Drought Characteristics Based on the Standardized Precipitation Index: A Case Study of the Yellow River Basin
    Liu, Qi
    Huo, Aidi
    Zhao, Zhixin
    Zhao, Xuantao
    Rebouh, Nazih Yacer
    Luo, Chenxu
    WATER, 2024, 16 (10)
  • [27] Spatial-temporal evolution and influencing factors of urban ecosystem resilience in the Yellow River Basin
    Wang, L.
    Gong, W.
    Wang, C.
    Li, W.
    GLOBAL NEST JOURNAL, 2023, 25 (01): : 66 - 76
  • [28] A spatial-temporal analysis on green development in China’s Yellow River Basin: model-based efficiency evaluation and influencing factors identification
    Weiming Li
    Zhaoyang Cai
    Leshan Jin
    Stochastic Environmental Research and Risk Assessment, 2023, 37 : 4431 - 4444
  • [29] A spatial-temporal analysis on green development in China's Yellow River Basin: model-based efficiency evaluation and influencing factors identification
    Li, Weiming
    Cai, Zhaoyang
    Jin, Leshan
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2023, 37 (11) : 4431 - 4444
  • [30] Analysis on the Temporal and Spatial Evolution of Population Life Expectancy and Influencing Factors in the Yellow River Basin
    Zhang Y.
    Yang C.
    Zhang W.
    Bi X.
    Journal of Geo-Information Science, 2022, 24 (05) : 902 - 913