Capturing spatio-temporal variations in SDG interactions and prioritizations
文献类型：期刊论文
| 作者 | Huan, Yizhong12,13; Li, Xiaoyun12,13; Li, Pengfei13; Li, Xin13; Lan, Yang10,11; Ji, Linjiang13; Lei, Yifei1; Su, Yiming8,9,14; Wang, Mingyuan9,16; Tao, Siyuan15 |
| 刊名 | APPLIED GEOGRAPHY
 |
| 出版日期 | 2026 |
| 卷号 | 186页码:103830 |
| 关键词 | Sustainable development Spatio-temporal variations Network analysis Machine learning SDG interactions Global governance |
| ISSN号 | 0143-6228 |
| DOI | 10.1016/j.apgeog.2025.103830 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Understanding the varying degrees of synergies and trade-offs among Sustainable Development Goals (SDGs), as well as the influential goals within these interactions, is crucial for identifying transformative governance actions. However, the spatiotemporal dynamics of SDG interactions and priorities remain unclear. Here, we analyzed global and regional variations in SDG interactions, synergistic performance, and key contributing goals from 2000 to 2022 using network methodology, index analysis, and machine learning. Europe exhibited high SDG synergies, low synergy-network modularity, and strong synergistic performance, while Western Asia showed the opposite pattern. Despite overall improvement in SDG synergy proportions and synergistic performance, global progress was constrained by declining synergies related to SDG 5 (gender equality) and increasing fragmentation of the SDG synergy network. We also observed substantial spatio-temporal changes in the impact of each SDG within the interaction network and in its contribution to overall synergistic performance. Furthermore, we applied an ensemble random forest model to assess SDG mentions and co-occurrences in 1944 SDG interaction studies. SDGs 13 (climate action) and 9 (industry, innovation and infrastructure) emerged as the most and least frequently discussed goals, respectively. Interactions among seven SDGs (2, 6, 7, 8, 12, 13, 15) formed a typical SDG nexus, reflecting a critical human-nature relationship chain. Overall, to advance global SDG attainment, we emphasize the importance of accelerating progress on SDG 3 (good health and well-being). Our study enhances understanding of global development patterns and priorities and supports efforts to rescue the 2030 Agenda. |
| URL标识 | 查看原文 |
| WOS关键词 | SUSTAINABLE DEVELOPMENT ; TARGETS ; WATER ; GOALS |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:001723648200001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221358]  |
| 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 | Liang, Tao; Zhou, Guangjin |
| 作者单位 | 1.Zhejiang Univ, Sch Publ Affairs, Hangzhou 310058, Peoples R China; 2.Beijing Normal Univ, Inst Land Surface Syst & Sustainable Dev, Fac Geog Sci, Beijing, Peoples R China 3.Minist Ecol & Environm, Key Lab Satellite Remote Sensing, Beijing, Peoples R China; 4.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing, Peoples R China; 5.Imperial Coll London, Fac Nat Sci, Ctr Environm Policy, London, England; 6.Tsinghua Univ, Inst Contemporary China Studies, Beijing, Peoples R China; 7.Tsinghua Univ, Sch Publ Policy & Management, Beijing, Peoples R China; 8.Univ Chinese Acad Sci, Sino Danish Coll, Beijing, Peoples R China; 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China; 10.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Nat Resource Coupling Proc & Effects, Minist Nat Resources, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Huan, Yizhong,Li, Xiaoyun,Li, Pengfei,et al. Capturing spatio-temporal variations in SDG interactions and prioritizations[J]. APPLIED GEOGRAPHY,2026,186:103830. |
| APA | Huan, Yizhong.,Li, Xiaoyun.,Li, Pengfei.,Li, Xin.,Lan, Yang.,...&Zhou, Guangjin.(2026).Capturing spatio-temporal variations in SDG interactions and prioritizations.APPLIED GEOGRAPHY,186,103830. |
| MLA | Huan, Yizhong,et al."Capturing spatio-temporal variations in SDG interactions and prioritizations".APPLIED GEOGRAPHY 186(2026):103830. |
入库方式： OAI收割
来源：地理科学与资源研究所
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