Coupling coordination evolution of the settlements-farming system and its optimization path: Keys to sustainable rural development in the Three Gorges Reservoir Area of China
文献类型：期刊论文
| 作者 | Qu, Lulu1; Tu, Zhiquan1; Liu, Jilai2; Li, Yurui3 |
| 刊名 | HABITAT INTERNATIONAL
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 163页码:103456 |
| 关键词 | Settlements-farming system Coupling coordination System dynamics Simulation Three Gorges Reservoir Area |
| ISSN号 | 0197-3975 |
| DOI | 10.1016/j.habitatint.2025.103456 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | The stability and coordinated development of the settlements-farming system (SFS) in mountainous regions are vital for ensuring food security and ecological sustainability, particularly in complex terrain zones such as the Three Gorges Reservoir Area (TGRA) of China. Existing studies have largely overlooked the nonlinear feedback mechanisms and spatiotemporal dynamics underpinning rural settlements-farming interactions in mountainous contexts. To address this gap, this study integrates system dynamics modeling-with implementation in Vensim-and the entropy weight method for indicator weighting to evaluate the coupling coordination of the SFS in the mountainous areas of Chongqing within the TGRA. Through multi-scenario simulations, the research investigates how endogenous and exogenous drivers influence the evolution and optimization of the SFS over the period 2005-2020. The findings reveal that: (1)Under the status quo development mode, the coupling coordination of the SFS in the TGRA exhibits a favorable trend, with an average annual growth rate of 2.5 % during 2005-2020. (2)Endogenous dynamics, such as farmland utilization efficiency, mainly drive the coupling evolution of the SFS by enhancing land development in the reservoir area and responding to technological innovations and policy reforms. (3)Exogenous dynamics, such as the degree of government expectation fulfillment, also influence the system by limiting excessive government interventions. However, endogenous dynamics have a significantly stronger effect than exogenous dynamics on the system's evolution. Therefore, it is essential to balance policy support with the improvement of endogenous dynamics to promote the region's sustainable development. This study contributes theoretical and methodological innovation by embedding dynamic feedback analysis into SFS evaluation and identifying key leverage points for rural revitalization. It also offers targeted policy recommendations to support the sustainable rural development of mountainous territorial systems, emphasizing a human-land systems perspective that aligns land structure optimization with ecological restoration and rural well-being. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-USE |
| WOS研究方向 | Development Studies ; Environmental Sciences & Ecology ; Public Administration ; Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:001512874600001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214583]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Qu, Lulu; Li, Yurui |
| 作者单位 | 1.Chongqing Univ, Sch Publ Policy & Adm, Chongqing 400044, Peoples R China; 2.Xinyang Normal Univ, Sch Geog Sci, Xinyang 464000, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qu, Lulu,Tu, Zhiquan,Liu, Jilai,et al. Coupling coordination evolution of the settlements-farming system and its optimization path: Keys to sustainable rural development in the Three Gorges Reservoir Area of China[J]. HABITAT INTERNATIONAL,2025,163:103456. |
| APA | Qu, Lulu,Tu, Zhiquan,Liu, Jilai,&Li, Yurui.(2025).Coupling coordination evolution of the settlements-farming system and its optimization path: Keys to sustainable rural development in the Three Gorges Reservoir Area of China.HABITAT INTERNATIONAL,163,103456. |
| MLA | Qu, Lulu,et al."Coupling coordination evolution of the settlements-farming system and its optimization path: Keys to sustainable rural development in the Three Gorges Reservoir Area of China".HABITAT INTERNATIONAL 163(2025):103456. |
入库方式： OAI收割
来源：地理科学与资源研究所
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