Geographical Patterns and Influencing Mechanisms of Digital Rural Development Level at the County Scale in China
文献类型：期刊论文
| 作者 | Li, Tianyu4; Wang, Shengpeng4; Chen, Pinyu1,5; Liu, Xiaoyi3; Kong, Xiang4 |
| 刊名 | LAND
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 12期号:8页码:1504 |
| 关键词 | digital rural digital divide spatial differentiation Geodetector rural revitalization |
| DOI | 10.3390/land12081504 |
| 文献子类 | Article |
| 英文摘要 | Digital rural development has become an emerging dynamic force for high-quality rural development in China. This paper constructs the environmental-economic-social analysis framework for digital rural development, analyzes the spatial variation of the digital rural development level (DRDL) in Chinese counties in 2020, and conducts the factor detection and interaction detection of its influencing factors. It is found that: (1) digital rural development has its own unique spatial differentiation mechanism, which can be analyzed from three dimensions: environmental system, economic system, and social system, which play a fundamental role, decisive role, and a magnifying effect on digital rural development, respectively. (2) The DRDL in China's counties has significant spatial distribution, spatial correlation, and spatial clustering characteristics. The DRDL in general shows a decreasing distribution trend from coastal to inland regions, and the overall differences in DRDL mainly come from intra-regional differences rather than inter-regional differences. The rural infrastructure digitalization dimension has stronger spatial correlation while the spatial correlation of the rural governance digitalization dimension is weaker. There are obvious hotspot and coldspot areas in the DRDL, with large differences between the coldspot and hotspot areas of different sub-dimensions. (3) The spatial divergence of the DRDL is closely related to geographical elements and is the result of the combined effect of several geographical factors. The factor detection results show that the dominant factors within the four regions are significant different. The interaction detection results show that the driving force of the two-factor interaction is stronger than that of the single-factor interaction and that the interaction among the factors further deepens the spatial differentiation of the DRDL. |
| WOS关键词 | BROAD-BAND ; DIVIDE ; RESILIENCE ; FRAMEWORK ; POLICY ; AREAS |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001056211900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200897]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 作者单位 | 1.Soochow Univ, Sch Social Sci, Dept Tourism Management, Suzhou 215123, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Resources, Beijing 100101, Peoples R China 3.Soochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China 4.East China Normal Univ, Ctr Modern Chinese City Studies, Shanghai 200062, Peoples R China 5.East China Normal Univ, Sch Urban & Reg Sci, Shanghai 200241, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Tianyu,Wang, Shengpeng,Chen, Pinyu,et al. Geographical Patterns and Influencing Mechanisms of Digital Rural Development Level at the County Scale in China[J]. LAND,2023,12(8):1504. |
| APA | Li, Tianyu,Wang, Shengpeng,Chen, Pinyu,Liu, Xiaoyi,&Kong, Xiang.(2023).Geographical Patterns and Influencing Mechanisms of Digital Rural Development Level at the County Scale in China.LAND,12(8),1504. |
| MLA | Li, Tianyu,et al."Geographical Patterns and Influencing Mechanisms of Digital Rural Development Level at the County Scale in China".LAND 12.8(2023):1504. |
入库方式： OAI收割
来源：地理科学与资源研究所
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