College of Geography and Environment, Shandong Normal University, Jinan 250358, China.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China.
Int J Environ Res Public Health. 2022 Dec 1;19(23):16111. doi: 10.3390/ijerph192316111.
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.
以数字经济为代表的新发展模式为可持续乡村发展提供了新的思路。为全面了解黄河流域（YRB）数字乡村发展的现状，并提出黄河流域乡村振兴的科学措施，本研究以县为研究单元，利用 2020 年的数据，采用 Theil 指数、空间自相关分析和地理探测器模型，分析了空间分异特征及其影响因素。结果表明，YRB 的数字乡村发展指数略高于全国平均水平，但数字经济子指数滞后。不同河段的数字乡村发展水平为下游>中游>上游。此外，市辖区和县级市的地位高于一般县。此外，Theil 指数的分解表明，上游和一般县的组内差异是总差异的最重要原因。此外，数字乡村发展水平呈现出空间差异，东西部高低分布。存在明显可靠的空间相关性，具有相似水平的空间集聚特征显著。最后，YRB 及不同河段数字乡村发展空间异质性的影响因素不同，政府支出是 YRB 及其上游地区的主要主导因素，而教育程度和产业结构是中游和下游地区的主导因素。通过双因素和非线性增强，因素之间的相互作用的解释力远远超过单个因素。本研究为实现数字中国和乡村振兴的目标提供了更有针对性的政策措施的科学参考。
