Sustainable Development Goals: A cluster analysis of worldwide countries
Yazarlar (2)
Dr. Öğr. Üyesi Mehmet Çağlar Yıldız Teknik Üniversitesi, Türkiye
Doç. Dr. Cem GÜRLER Yalova Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Environment Development and Sustainability (Q2) | ||
| Dergi ISSN | 1387-585X Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2022 |
| Kabul Tarihi | 28-08-2021 | Yayınlanma Tarihi | 04-09-2021 |
| Cilt / Sayı / Sayfa | 24 / 6 / 8593–8624 | DOI | 10.1007/s10668-021-01801-6 |
| Makale Linki | https://link.springer.com/article/10.1007/s10668-021-01801-6 | ||
| UAK Araştırma Alanları |
İşletme İstatistiği
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| Özet |
| In 2015, the United Nations introduced the 2030 Agenda, which sets out Sustainable Development Goals (SDGs) for building a sustainable future. The main objective of this study is to classify worldwide countries in terms of Sustainable Development Goals progress in order to understand key implementation challenges, define the gaps between countries and identify priorities for action. 110 countries were included in the analysis. The SDG progress data used in the data analysis phase were gathered from the Sustainable Development Report 2019. To classify countries, the K-Means method, which is a non-hierarchical cluster analysis technique, was used. After constructing homogeneous groups of countries, each cluster was examined based on the socioeconomic and politico-cultural structure of the countries. The results of the cluster analysis show that the countries can be classified into 5 clusters. The countries … |
| Anahtar Kelimeler |
| Cluster analysis | Politico-cultural structure | Socioeconomic structure | Sustainable development | Sustainable Development Goals |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Yöksis | 43 |
| Web of Science | 70 |
| Scopus | 78 |
| Google Scholar | 131 |