Corvinus
Corvinus

The disparities and development trajectories of nations in achieving the sustainable development goals

Ma, Fengmei ORCID: https://orcid.org/0000-0002-3233-625X, Wang, Heming ORCID: https://orcid.org/0000-0003-3487-0912, Tzachor, Asaf ORCID: https://orcid.org/0000-0002-4032-4996, Hidalgo, César A. ORCID: https://orcid.org/0000-0002-6977-9492, Schandl, Heinz ORCID: https://orcid.org/0000-0001-6399-4231, Zhang, Yue, Zhang, Jingling, Chen, Wei-Qiang ORCID: https://orcid.org/0000-0002-7686-2331, Zhao, Yanzhi, Zhu, Yong-Guan ORCID: https://orcid.org/0000-0003-3861-8482 and Fu, Bojie ORCID: https://orcid.org/0000-0002-9920-9802 (2025) The disparities and development trajectories of nations in achieving the sustainable development goals. Nature Communications, 16 (1). DOI 10.1038/s41467-025-56076-6

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Official URL: https://doi.org/10.1038/s41467-025-56076-6


Abstract

The Sustainable Development Goals (SDGs) provide a comprehensive framework for societal progress and planetary health. However, it remains unclear whether universal patterns exist in how nations pursue these goals and whether key development areas are being overlooked. Here, we apply the product space methodology, widely used in development economics, to construct an ‘SDG space of nations’. The SDG space models the relative performance and specialization patterns of 166 countries across 96 SDG indicators from 2000 to 2022. Our SDG space reveals a polarized global landscape, characterized by distinct groups of nations, each specializing in specific development indicators. Furthermore, we find that as countries improve their overall SDG scores, they tend to modify their sustainable development trajectories, pursuing different development objectives. Additionally, we identify orphaned SDG indicators — areas where certain country groups remain under-specialized. These patterns, and the SDG space more broadly, provide a high-resolution tool to understand and evaluate the progress and disparities of countries towards achieving the SDGs.

Item Type:Article
Uncontrolled Keywords:Sustainable Development Goals (SDGs); Environment-related SDG;
Divisions:Corvinus Institute for Advanced Studies (CIAS)
Subjects:Ecology
Environmental economics
Funders:Corvinus University of Budapest, National Natural Science Foundation of China, Chinese Academy of Sciences, European Union LearnData, French National Research Agency (ANR), European Lighthouse of AI for Sustainability ELIAS, National Social Science Fund of China
Projects:Open access funding, No. 52070034 and 52470207 and 71961147003, 101086712-LearnDataHORIZON-WIDERA−2022-TALENTS−01, ANR−17-EURE-0010, 101120237-HOR-IZON-CL4-2022-HUMAN-02, No. 23ATJ006
DOI:10.1038/s41467-025-56076-6
ID Code:10871
Deposited By: MTMT SWORD
Deposited On:29 Jan 2025 10:40
Last Modified:29 Jan 2025 12:37

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