Classifying Global Economies Based on Sustainable Development Goals
A Data‐Driven Clustering Approach
Bibliographic Data
| ID | 12308403 |
|---|---|
| Authors | Shradha Jena (0000-0002-2302-7236, Indian Institute of Technology Bhubaneswar), Soumyaranjan Jena (School of Humanities, Social Sciences & Management Indian Institute of Technology Bhubaneswar India), Sayel Basel (0000-0002-7586-7528, School of Humanities, Social Sciences & Management Indian Institute of Technology Bhubaneswar India, corresponding author) |
| Year | 2025 |
| Volume | 33 |
| Issue | 3 |
| Pages | 4543-4556 |
| Publication date | 2025-01-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Development (JOURNAL) |
| Journal identifiers | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.3362 |
| OpenAlex | W4406711731 |
| Language | EN |
| Citations received | 4 |
| References cited | 46 |
The concept of sustainable development gained global prominence after its widespread recognition and the establishment of the United Nations' 2015 sustainable development goals (SDGs). These goals aim to tackle the issues of poverty, inequality, and environmental sustainability by 2030. This study utilizes machine learning clustering techniques, namely, Grey Relational Analysis and K‐means clustering, to classify 167 countries based on their SDG performance between 2000 and 2024. The analysis identifies four clusters, with Cluster 3 demonstrating the strongest overall performance. An ordered logit model is used to assess which SDGs mostly influence cluster membership, revealing that tailored policy interventions are crucial for addressing different countries' development challenges. This approach offers a dynamic perspective on the global SDG progress and enables more targeted and effective policy‐making toward attaining the 2030 Agenda
Business · Cluster analysis · Economics · Political science · Sustainable development · Computer Science · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Sustainable Supply Chain Management · Artificial Intelligence
A Systematic Study of Sustainable Development Goal (SDG) Interactions
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Measurement of city sustainability based on the grey relational analysis
Reducing Inequalities within Countries
Sustainable Development Goals
Differentiating countries based on the sustainable development proximities using the SDG indicators
The role of environmental social and governance in achieving sustainable development goals
Synergies of sustainable development goals between China and countries along the Belt and Road initiative
Mapping interactions between the sustainable development goals
Policy coherence to achieve the SDGs
Towards Integration at Last? The Sustainable Development Goals as a Network of Targets
Classification of countries based on development indices by using K-means and grey relational analysis
| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |