Spatiotemporal Evolution and Dynamic Driving Mechanisms of Synergistic Rural Revitalization in Topographically Complex Regions: A Case Study of the Qinba Mountains, China
文献类型：期刊论文
| 作者 | Yu, Haozhe2; Wu, Jie2; Cao, Ning2; Li, Lijuan1; Shi, Lei2; Su, Zhehao2 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2026-03-28 |
| 卷号 | 18期号:7页码:3307 |
| 关键词 | rural revitalization Coupling Coordination Degree spatial Markov chain dynamic driving mechanism spatiotemporal evolution Qinba Mountains China |
| DOI | 10.3390/su18073307 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | In ecologically fragile and geomorphologically complex mountainous regions, ensuring a smooth transition from poverty alleviation to multidimensional sustainable rural development remains a key issue in regional governance. Focusing on the Qinba Mountains, a typical former contiguous poverty-stricken region in China covering 18 prefecture-level cities in six provinces, this study uses 2009-2023 prefecture-level panel data to examine the spatiotemporal evolution and driving mechanisms of coordinated rural revitalization. An integrated framework of multi-dimensional evaluation-spatiotemporal tracking-attribution diagnosis is developed by combining the improved AHP-entropy-weight TOPSIS method, the Coupling Coordination Degree (CCD) model, spatial Markov chains, spatial autocorrelation, and the Geodetector. The results show pronounced subsystem asynchrony. Livelihood and Well-being Security (U5) improves steadily, while Level of Industrial Development (U1), Civic Virtues and Cultural Vibrancy (U3), and Rural Governance (U4) also rise but with clear spatial differentiation; by contrast, Quality of Human Settlements (U2) fluctuates in stages under ecological fragility. Overall, the coupling coordination level advances from the Verge of Imbalance to Intermediate Coordination, yet the regional pattern remains uneven, with eastern basin cities leading and western deep mountainous cities lagging. State transitions display both policy responsiveness and path dependence: the probability of retaining the original state ranges from 50.0% to 90.5%; low-level neighborhoods reduce the upward transition probability to 25%, whereas medium-to-high-level neighborhoods raise the upward transition probability of low-level cities from 36.36% to 53.33%. Spatial dependence is also evident, with Global Moran's I increasing, with fluctuations, from 0.331 in 2009 to 0.536 in 2023; high-value clusters extend along the Guanzhong Plain-Han River Valley corridor, while low-value clusters remain relatively locked in mountainous border areas. Driving mechanisms show clear stage-wise succession. At the single-factor level, the explanatory power of Road Network Density (F6) declines from 0.639 to 0.287, whereas Terrain Relief Amplitude (F1) becomes the dominant background constraint in the later stage (q = 0.772). Multi-factor interactions are generally enhanced. In particular, the traditional infrastructure-led pathway weakens markedly, with F1 boolean AND F6 = 0.055 in 2023, while the interaction between terrain and consumer market vitality becomes dominant, with F1 boolean AND F7 = 0.987 in 2023. On this basis, three major pathways are identified: government fiscal intervention and transportation accessibility improvement, capital agglomeration and market demand stimulation, and human-earth system adaptation and ecological value realization. These findings provide quantitative evidence for breaking spatial lock-in and improving cross-regional resource allocation in ecologically constrained mountainous regions. |
| URL标识 | 查看原文 |
| WOS关键词 | POVERTY ALLEVIATION ; RESILIENCE ; AREAS |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001738919700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221500]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Yu, Haozhe |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Shaanxi Univ Technol, Sch Humanities, Hanzhong 723001, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yu, Haozhe,Wu, Jie,Cao, Ning,et al. Spatiotemporal Evolution and Dynamic Driving Mechanisms of Synergistic Rural Revitalization in Topographically Complex Regions: A Case Study of the Qinba Mountains, China[J]. SUSTAINABILITY,2026,18(7):3307. |
| APA | Yu, Haozhe,Wu, Jie,Cao, Ning,Li, Lijuan,Shi, Lei,&Su, Zhehao.(2026).Spatiotemporal Evolution and Dynamic Driving Mechanisms of Synergistic Rural Revitalization in Topographically Complex Regions: A Case Study of the Qinba Mountains, China.SUSTAINABILITY,18(7),3307. |
| MLA | Yu, Haozhe,et al."Spatiotemporal Evolution and Dynamic Driving Mechanisms of Synergistic Rural Revitalization in Topographically Complex Regions: A Case Study of the Qinba Mountains, China".SUSTAINABILITY 18.7(2026):3307. |
入库方式： OAI收割
来源：地理科学与资源研究所
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