Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China
文献类型：期刊论文
| 作者 | Song, Hengfei1; Li, Xiubin1,2; Zhang, Fuyao1,2; Gu, Pengcheng3; Chen, Yuchen3; Wu, Haiping3; Xin, Lixuan3; Lu, Yahan4; Liu, Yunxi1,2; Wang, Xue1 |
| 刊名 | HABITAT INTERNATIONAL
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 156页码:103298 |
| 关键词 | Farmland abandonment Spatial distribution pattern Dominant determinants Quantile regression China |
| ISSN号 | 0197-3975 |
| DOI | 10.1016/j.habitatint.2025.103298 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Amidst escalating food demand, farmland abandonment poses a new challenge to food security. However, an insufficient understanding of the pattern and its dominant determinants are major obstacles to effective policymaking. To address the gap, this study established a theoretical framework for analyzing farmland abandonment, and employing a quantile regression model for empirical analysis. Data were drawn from two national land surveys to reveal the spatial distribution pattern and dominant determinants of farmland abandonment. The findings indicated that farmland abandonment ratio in China from 2009 to 2019 was 4.07% (5.19 Mha), with higher values observed in dry farmlands, sloping farmlands, and farmlands with high slopes. Spatially, farmland abandonment was more prevalent in hilly and mountainous areas as well as in non-major grain-producing areas at regional level. Additionally, farmland abandonment primarily occurs in the northwestern and southeastern coastal areas at the county level. In the northwestern agro-pastoral transition zones and southeastern mountainous and hilly regions, there are significant banded and banded-aggregation distribution patterns. Moreover, cultivation conditions and socioeconomic factors significantly affect farmland abandonment. As farmland abandonment increased, the influence of the former increased gradually. Conversely, in areas with severe farmland abandonment, the influence of the latter was weakened further. To strengthen management of farmland abandonment, the relevant policy initiatives should focus on advancing smart agriculture, enhancing farmland infrastructure, innovating machinery and equipment, expanding the agricultural industry chain, and refining the land lease market to reduce cultivation costs and enhance farmland output. |
| URL标识 | 查看原文 |
| WOS关键词 | GLOBAL FOREST TRANSITION ; LAND ABANDONMENT ; MOUNTAINOUS AREAS ; IMPACT ; URBANIZATION ; COST |
| WOS研究方向 | Development Studies ; Environmental Sciences & Ecology ; Public Administration ; Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:001401936700001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211320]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Xue |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 3.Minist Nat Resources, China Land Surveying & Planning Inst, Beijing 100035, Peoples R China; 4.Minist Nat Resources, Res Ctr Terr Spatial Planning, Beijing 100812, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Hengfei,Li, Xiubin,Zhang, Fuyao,et al. Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China[J]. HABITAT INTERNATIONAL,2025,156:103298. |
| APA | Song, Hengfei.,Li, Xiubin.,Zhang, Fuyao.,Gu, Pengcheng.,Chen, Yuchen.,...&Wang, Xue.(2025).Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China.HABITAT INTERNATIONAL,156,103298. |
| MLA | Song, Hengfei,et al."Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China".HABITAT INTERNATIONAL 156(2025):103298. |
入库方式： OAI收割
来源：地理科学与资源研究所
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