Examining Education, Culture, Health, and Workforce Characteristics of Turkish Provinces: A Cluster-Based Analysis
Öz
This study examines the education, culture, health, and workforce characteristics of Turkish provinces through a cluster-based analytical approach. Using data from the Turkish Statistical Institute (TUİK) and the Ministry of Health, we assess provincial-level performance across a diverse set of social development indicators. The clustering analysis identifies groups of provinces with similar profiles, highlighting regional disparities and patterns in the distribution of public services and labour market conditions. The results show that metropolitan provinces form a highly developed cluster characterised by strong economic capacity and population growth, while several clusters reflect structurally disadvantaged regions with low economic performance, negative net migration, and limited social infrastructure. In addition, some provinces exhibit relatively high education and cultural indicators despite weaker economic outcomes, underscoring the heterogeneous nature of regional development in Türkiye. Overall, the findings provide a nuanced spatial classification of provinces and offer policy-relevant insights for designing cluster-specific regional development strategies and more equitable resource allocation.
Anahtar Kelimeler
Kaynakça
- Altuntas, S., Selim, S., Altuntas, F. (2022). A hierarchical clustering based panel data approach: A case study of regional incentives, International Journal of Information Management Data Insights, 2 (2), 100098, https://doi.org/10.1016/j.jjimei.2022.100098. google scholar
- Atalay, M. (2020). Tourism-based classification of Turkish provinces using cluster analysis. Tourism Economics and Management, 4(1), 22–38. google scholar
- Bayram, C., & Ergül, İ. (2019). Human capital investments and income inequality: A provincial analysis for Turkey. Sosyoekonomi, 27(40), 167–184.google scholar
- Çelik, Ş. (2010). Türkiye'de sağlık hizmetlerinin illere göre değerlendirilmesi: Kümeleme analizi uygulaması. Anadolu University Journal of Social Sciences, 10(1), 105–120. google scholar
- Çilan, T., & Demirhan, H. (2018). Determining the development levels of provinces by using cluster analysis. Gümüşhane Üniversitesi Sosyal Bilimler Elektronik Dergisi, 9(25), 68–84. google scholar
- Cengiz, Ö., & Öztürk, A. (2012). Türkiye’de eğitim düzeylerine göre illerin kümelenmesi: K-ortalama analizi uygulaması. İktisadi ve İdari Bilimler Dergisi, 26(2), 1–16. google scholar
- Dolu, A. & Kuvvetli, U. (2023). Türkiye’de Kentlerin Sosyo-Ekonomik Gelişmişlik Düzeylerinin Karşılaştırılması. International Journal of Public Finance. 8(1), 85 – 106. google scholar
- Eren, H., & Ömürbek, N. (2019). Evaluation of healthcare performance in Turkey’s provinces: A cluster analysis approach. Journal of Business Research - Turk, 11(2), 1044–1059. google scholar
Ayrıntılar
Birincil Dil
İngilizce
Konular
Maliye Politikası
Bölüm
Araştırma Makalesi
Yazarlar
Elif Mutlu
0009-0004-1034-0567
Türkiye
Serhat Peker
*
0000-0002-6876-3982
Türkiye
Ümit Kuvvetli
0000-0002-9567-3675
Türkiye
Yayımlanma Tarihi
19 Şubat 2026
Gönderilme Tarihi
16 Eylül 2025
Kabul Tarihi
16 Aralık 2025
Yayımlandığı Sayı
Yıl 2026 Cilt: 13 Sayı: 1