Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China
Urban-rural integration is a necessary way to realize the strategy of rural revitalization in the new era, and exploring the characteristics of the spatial correlation network of China's urban-rural integration and its formation mechanism is important for developing a comprehensive understandin...
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Editorial Committee of Tropical Geography
2025-01-01
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| Online Access: | https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.20230678 |
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| author | Wang Kai Liu Meilun Tan Jiaxin Gan Chang |
| author_facet | Wang Kai Liu Meilun Tan Jiaxin Gan Chang |
| author_sort | Wang Kai |
| collection | DOAJ |
| description | Urban-rural integration is a necessary way to realize the strategy of rural revitalization in the new era, and exploring the characteristics of the spatial correlation network of China's urban-rural integration and its formation mechanism is important for developing a comprehensive understanding of the spatial transmission mechanism of interregional urban-rural integration and provides a new policy perspective for the synergistic enhancement of the urban-rural integration level in each province. Based on China's interprovincial panel data from 2001 to 2021, the entropy method was applied to measure China's interprovincial urban-rural integration level, and the modified gravity model and social network analysis were used to explore the structural characteristics of China's spatial correlation network of urban-rural integration and its influencing factors. The results revealed the following: 1) During the study period, the level of China's interprovincial urban-rural integration showed an increasing trend, but the process of improvement was slow. Spatially, it showed a decreasing gradient from east to west, but the gap between the interprovincial urban-rural integration level gradually narrowed, with obvious spatial non-equilibrium. 2) China's urban-rural integration spatial association network became increasingly dense, complex, and close, and the main linkage flows of urban-rural integration occurred between geographically neighboring provinces and cities, such as Shanghai-Jiangsu, Shanghai-Zhejiang, and Beijing-Tianjin. The network connection was heterogeneous, and the network showed the characteristic of growth. However, the spatial connection of urban-rural integration did not reach the best level, and there is still much room for improvement. 3) Geospatial proximity, differences in the level of economic development, and urbanization had a significant positive effect on the optimization and evolution of the spatial linkage network of urban-rural integration, while differences in agricultural modernization and differences in advanced industrial structure showed a stage-by-stage effect over time. Differences in the scale of financial services did not have a significant effect. Accordingly, this study proposes countermeasures to optimize the spatial correlation network of urban-rural integration in China. Theoretically, it helps to deepen knowledge of the spatial effect and regional transmission of urban-rural integration in the geographical perspective. In practice, optimizing interprovincial urban-rural interaction and promoting cross-regional urban-rural integration development in a scientific and rational way are highly significant. |
| format | Article |
| id | doaj-art-003b3e8ff279497ca05954d438d54523 |
| institution | Kabale University |
| issn | 1001-5221 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Committee of Tropical Geography |
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| series | Redai dili |
| spelling | doaj-art-003b3e8ff279497ca05954d438d545232025-01-24T08:32:20ZzhoEditorial Committee of Tropical GeographyRedai dili1001-52212025-01-01451667910.13284/j.cnki.rddl.202306781001-5221(2025)01-0066-14Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in ChinaWang Kai0Liu Meilun1Tan Jiaxin2Gan Chang3College of Tourism, Hunan Normal University, Changsha410081, ChinaCollege of Tourism, Hunan Normal University, Changsha410081, ChinaCollege of Tourism, Hunan Normal University, Changsha410081, ChinaSchool of Management, Wuhan Polytechnic University, Wuhan430048, ChinaUrban-rural integration is a necessary way to realize the strategy of rural revitalization in the new era, and exploring the characteristics of the spatial correlation network of China's urban-rural integration and its formation mechanism is important for developing a comprehensive understanding of the spatial transmission mechanism of interregional urban-rural integration and provides a new policy perspective for the synergistic enhancement of the urban-rural integration level in each province. Based on China's interprovincial panel data from 2001 to 2021, the entropy method was applied to measure China's interprovincial urban-rural integration level, and the modified gravity model and social network analysis were used to explore the structural characteristics of China's spatial correlation network of urban-rural integration and its influencing factors. The results revealed the following: 1) During the study period, the level of China's interprovincial urban-rural integration showed an increasing trend, but the process of improvement was slow. Spatially, it showed a decreasing gradient from east to west, but the gap between the interprovincial urban-rural integration level gradually narrowed, with obvious spatial non-equilibrium. 2) China's urban-rural integration spatial association network became increasingly dense, complex, and close, and the main linkage flows of urban-rural integration occurred between geographically neighboring provinces and cities, such as Shanghai-Jiangsu, Shanghai-Zhejiang, and Beijing-Tianjin. The network connection was heterogeneous, and the network showed the characteristic of growth. However, the spatial connection of urban-rural integration did not reach the best level, and there is still much room for improvement. 3) Geospatial proximity, differences in the level of economic development, and urbanization had a significant positive effect on the optimization and evolution of the spatial linkage network of urban-rural integration, while differences in agricultural modernization and differences in advanced industrial structure showed a stage-by-stage effect over time. Differences in the scale of financial services did not have a significant effect. Accordingly, this study proposes countermeasures to optimize the spatial correlation network of urban-rural integration in China. Theoretically, it helps to deepen knowledge of the spatial effect and regional transmission of urban-rural integration in the geographical perspective. In practice, optimizing interprovincial urban-rural interaction and promoting cross-regional urban-rural integration development in a scientific and rational way are highly significant.https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.20230678urban-rural integrationspatial correlation networkurban-rural relationshipsocial network analysischina |
| spellingShingle | Wang Kai Liu Meilun Tan Jiaxin Gan Chang Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China Redai dili urban-rural integration spatial correlation network urban-rural relationship social network analysis china |
| title | Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China |
| title_full | Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China |
| title_fullStr | Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China |
| title_full_unstemmed | Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China |
| title_short | Structure of Spatial Correlation Network and Influencing Factors of Urban-Rural Integration in China |
| title_sort | structure of spatial correlation network and influencing factors of urban rural integration in china |
| topic | urban-rural integration spatial correlation network urban-rural relationship social network analysis china |
| url | https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.20230678 |
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