Coupling study on ecological resilience and urban-rural integrated development in China
Scientific understanding of China’s ecological resilience and urban-rural dynamics supports comprehensive environmental and socio-economic advancement. This research utilizes an integrated coupling coordination framework to examine the relationship among ecological resilience and rural-urban dynamic...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1552533/full |
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| author | Yue Wang Mengfei Song Siyan Zhu Zhihui Jiang Zhen Zhang |
| author_facet | Yue Wang Mengfei Song Siyan Zhu Zhihui Jiang Zhen Zhang |
| author_sort | Yue Wang |
| collection | DOAJ |
| description | Scientific understanding of China’s ecological resilience and urban-rural dynamics supports comprehensive environmental and socio-economic advancement. This research utilizes an integrated coupling coordination framework to examine the relationship among ecological resilience and rural-urban dynamics in 31 Chinese provinces from 2011 to 2022. The spatiotemporal dynamics of ecological resilience-urban-rural coupling are examined through kernel density estimation and complementary methods. An LSTM network is used to forecast trends (2023-2030) and identify underlying patterns. Panel VAR is applied to explore the dynamic interactions between ecological resilience and urban-rural dynamics. The findings reveal regional disparities, with urban-rural dynamics consistently outperforming ecological resilience across all regions, while exhibiting lower variability. The coordination between ecological resilience and urban-rural dynamics shows an upward trend with moderate concentration and distinct regional variations. Projections for 2023-2030 indicate fluctuating yet upward trends in provincial-level coordination. Provincial development transitions from near-imbalance and marginal coordination pre-2026 to primary and intermediate coordination phases post-2026. The coordination levels across the four regions are ranked in descending order as follows: the eastern part of China, followed by the western, midland, and northeast areas. Nationwide analysis reveals significant autocorrelation in ecological resilience (5% level) and urban-rural dynamics (1% level), with urban-rural dynamics exerting a stronger influence on ecological resilience (1% level). This study elucidates the ecological resilience-urban-rural nexus, offering empirical foundations for China’s sustainable urban-rural development strategies. |
| format | Article |
| id | doaj-art-c9db056c2e9744508604b9a51fc00762 |
| institution | DOAJ |
| issn | 2296-665X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj-art-c9db056c2e9744508604b9a51fc007622025-08-20T03:01:47ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2025-03-011310.3389/fenvs.2025.15525331552533Coupling study on ecological resilience and urban-rural integrated development in ChinaYue Wang0Mengfei Song1Siyan Zhu2Zhihui Jiang3Zhen Zhang4College of Economics and Management, Tarim University, Aral, ChinaSchool of Economics and Management, Shihezi University, Shihezi, ChinaSchool of Mechanical and Electrical Engineering, Heilongjiang University, Harbin, ChinaCollege of Economics and Management, Tarim University, Aral, ChinaSchool of International Affairs and Public Administration, Ocean University of China, Qingdao, ChinaScientific understanding of China’s ecological resilience and urban-rural dynamics supports comprehensive environmental and socio-economic advancement. This research utilizes an integrated coupling coordination framework to examine the relationship among ecological resilience and rural-urban dynamics in 31 Chinese provinces from 2011 to 2022. The spatiotemporal dynamics of ecological resilience-urban-rural coupling are examined through kernel density estimation and complementary methods. An LSTM network is used to forecast trends (2023-2030) and identify underlying patterns. Panel VAR is applied to explore the dynamic interactions between ecological resilience and urban-rural dynamics. The findings reveal regional disparities, with urban-rural dynamics consistently outperforming ecological resilience across all regions, while exhibiting lower variability. The coordination between ecological resilience and urban-rural dynamics shows an upward trend with moderate concentration and distinct regional variations. Projections for 2023-2030 indicate fluctuating yet upward trends in provincial-level coordination. Provincial development transitions from near-imbalance and marginal coordination pre-2026 to primary and intermediate coordination phases post-2026. The coordination levels across the four regions are ranked in descending order as follows: the eastern part of China, followed by the western, midland, and northeast areas. Nationwide analysis reveals significant autocorrelation in ecological resilience (5% level) and urban-rural dynamics (1% level), with urban-rural dynamics exerting a stronger influence on ecological resilience (1% level). This study elucidates the ecological resilience-urban-rural nexus, offering empirical foundations for China’s sustainable urban-rural development strategies.https://www.frontiersin.org/articles/10.3389/fenvs.2025.1552533/fullecological resilienceurban-rural integrated developmentcoupling coordination degreelong short term memory networkpanel vector autoregression |
| spellingShingle | Yue Wang Mengfei Song Siyan Zhu Zhihui Jiang Zhen Zhang Coupling study on ecological resilience and urban-rural integrated development in China Frontiers in Environmental Science ecological resilience urban-rural integrated development coupling coordination degree long short term memory network panel vector autoregression |
| title | Coupling study on ecological resilience and urban-rural integrated development in China |
| title_full | Coupling study on ecological resilience and urban-rural integrated development in China |
| title_fullStr | Coupling study on ecological resilience and urban-rural integrated development in China |
| title_full_unstemmed | Coupling study on ecological resilience and urban-rural integrated development in China |
| title_short | Coupling study on ecological resilience and urban-rural integrated development in China |
| title_sort | coupling study on ecological resilience and urban rural integrated development in china |
| topic | ecological resilience urban-rural integrated development coupling coordination degree long short term memory network panel vector autoregression |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1552533/full |
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