2022
DOI: 10.3390/ijerph192416924
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Rural Spatial Differentiation and Revitalization Approaches in China: A Case Study of Qingdao City

Abstract: Rural revitalization, as a major strategy with the goal of realizing the overall development of strong agriculture industries, beautiful rural areas, and rich farmers, is an effective way of alleviating the loss of talent, land, capital, and other elements in rural areas and a possible cure for “rural diseases”. However, “rural diseases” faced by villages are very different, and thus exploring suitable strategies for rural revitalization is beneficial to the implementation of rural revitalization strategies an… Show more

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Cited by 5 publications
(2 citation statements)
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“…Furthermore, it used the Euclidean distance and buffer analysis to obtain the distance distribution of the driving factors, such as the urban centers and major motorways, railways, and rivers. Lastly, the study obtained a data table of rural residential land and point-axis-region 3D driving factors (Table 2) for geographic detector data analysis using spatial neighborhood analysis and spatial correspondence [39,40].…”
Section: Data Processingmentioning
confidence: 99%
“…Furthermore, it used the Euclidean distance and buffer analysis to obtain the distance distribution of the driving factors, such as the urban centers and major motorways, railways, and rivers. Lastly, the study obtained a data table of rural residential land and point-axis-region 3D driving factors (Table 2) for geographic detector data analysis using spatial neighborhood analysis and spatial correspondence [39,40].…”
Section: Data Processingmentioning
confidence: 99%
“…Furthermore, it used the Euclidean distance and buffer analysis to obtain the distance distribution of the driving factors, such as the urban centres and major motorways, railways, and rivers. Lastly, the study obtained a data table of rural residential land and point-axis-region 3D driving factors for geographic detector data analysis using spatial neighbourhood analysis and spatial correspondence [28,29].…”
Section: Data Processingmentioning
confidence: 99%