Türkiye’de İller Bazında Finansal Göstergelerin Karşılaştırmalı ve Bölgesel Durum Analizi

Öz

Bu çalışma, ulusal finansal göstergelerin çoğu zaman önemli bölgesel farklılıkları gizlediği sınırlılığından hareketle, Türkiye’de finansal gelişmenin il ve bölge düzeyindeki yapısını incelemektedir. Çalışmada, 2022–2023 dönemi için 81 ilin tamamına ait yatay kesit verileri kullanılarak finansal ölçek, derinlik, tasarruf mobilizasyonu, kredi yoğunluğu ve şube erişimi göstergeleri analiz edilmektedir. Ampirik strateji; tanımlayıcı istatistikleri, korelasyon analizini, bölgesel karşılaştırma testlerini, temel bileşenler analizini, kümeleme analizini, sağlamlık kontrollerini ve tamamlayıcı bir log–log OLS regresyonunu bir araya getirmektedir. Bulgular, il ve bölge düzeyinde belirgin finansal farklılıkların bulunduğunu ortaya koymaktadır. Finansal ölçek, özellikle İstanbul ve Ankara başta olmak üzere büyükşehirlerde yüksek düzeyde yoğunlaşırken, derinlik ve erişim göstergeleri daha geniş bir batı–doğu ayrımına işaret etmektedir. Kruskal–Wallis testleri, tüm finansal göstergeler için anlamlı bölgesel farklılıkların bulunduğunu doğrulamaktadır. PCA temelli Finansal Gelişme Endeksi, tutarlı bir ortak bileşen tarafından desteklenmekte olup PC1 toplam varyansın %68,34’ünü açıklamaktadır. İstanbul ve Ankara yüksek gelişmişlik düzeyine sahip finansal çekirdeği oluştururken, doğu ve güneydoğudaki birçok il düşük gelişmişlik düzeyine sahip çevre konumunda yer almaktadır. Tamamlayıcı regresyon, kişi başına mevduatın kişi başına kredi ile güçlü ve pozitif biçimde ilişkili olduğunu göstermektedir. Sonuçlar, Türkiye’de il düzeyindeki finansal gelişmenin çok boyutlu, mekânsal olarak yoğunlaşmış ve çekirdek–çevre örüntüsüyle şekillenmiş olduğunu; bu nedenle yalnızca ulusal ortalamalara dayalı politikalar yerine bölgeye ve kümelere duyarlı politika yanıtları gerektirdiğini göstermektedir.

Anahtar Kelimeler

• İl düzeyinde finansal gelişme
• Finansal kapsayıcılık
• Bölgesel eşitsizlik
• Finansal Gelişme Endeksi
• Türkiye.

A Comparative and Regional Analysis of Financial Indicators by Provinces In Turkiye

Öz

This study examines the provincial and regional structure of financial development in Türkiye, addressing the limitation that national financial indicators often conceal substantial territorial disparities. Using cross-sectional data for all 81 provinces for 2022–2023, the paper analyses indicators of financial scale, depth, savings mobilisation, credit intensity, and branch access. The empirical strategy combines descriptive statistics, correlation analysis, regional comparison tests, principal component analysis, cluster analysis, robustness checks, and a supplementary log–log OLS regression. The findings reveal pronounced provincial and regional financial disparities. Financial scale is highly concentrated in metropolitan provinces, especially Istanbul and Ankara, while depth and access indicators show a broader west–east divide. Kruskal–Wallis tests confirm significant regional differences for all financial indicators. The PCA-based Financial Development Index is supported by a coherent common component, with PC1 explaining 68.34% of total variance. Istanbul and Ankara form the high-development financial core, while many eastern and southeastern provinces occupy the low-development periphery. The supplementary regression shows that deposits per capita are strongly and positively associated with credit per capita. The results indicate that provincial financial development in Türkiye is multidimensional, spatially concentrated, and structured by a core–periphery pattern requiring region-sensitive and cluster-sensitive policy responses rather than policies based on national averages alone.

Anahtar Kelimeler

• Provincial financial development
• Financial inclusion
• Regional inequality
• Financial Development Index
• Türkiye

Kaynakça

1. Banking Regulation and Supervision Agency. (2025). Banking sector main indicators. https://www.bddk.org.tr/Veri/Detay/171
2. Beck, A., & Doerr, S. (2023, November 29). The financial origins of regional inequality (BIS Working Papers No. 1151). Bank for International Settlements. https://www.bis.org/publ/work1151.pdf
3. Beck, T., Demirgüç-Kunt, A., & Martinez Peria, M. S. (2007). Reaching out: Access to and use of banking services across countries. Journal of Financial Economics, 85(1), 234–266. https://doi.org/10.1016/j.jfineco.2006.07.002
4. Bozkurt, İ., & Karakuş, R. (2020). Provincial financial inclusion in Turkey: Measurement and its spatial determinants. Ege Academic Review, 20(2), 101–124. https://doi.org/10.21121/eab.729532
5. Burgess, R., & Pande, R. (2005). Do rural banks matter? Evidence from the Indian social banking experiment. American Economic Review, 95(3), 780–795. https://doi.org/10.1257/0002828054201242
6. Capili, B. (2021). Cross-sectional studies. AJN The American Journal of Nursing, 121(10), 59–62. https://doi.org/10.1097/01.NAJ.0000794280.73744.fe
7. Célerier, C., & Matray, A. (2019). Bank-branch supply, financial inclusion, and wealth accumulation. The Review of Financial Studies, 32(12), 4767–4809. https://doi.org/10.1093/rfs/hhz046
8. Cüre, F. (2025). Mapping left-behind regions: A classification of regional disparities in Türkiye. Coğrafi Bilimler Dergisi / Turkish Journal of Geographical Sciences, 23(1), 264–282. https://doi.org/10.33688/aucbd.1569092

9. Dinno, A. (2015). Nonparametric pairwise multiple comparisons in independent groups using Dunn’s test. The Stata Journal, 15(1), 292–300. https://doi.org/10.1177/1536867X1501500117
10. Gandhi, V. (2015). Interfacing brain and machine. In V. Gandhi (Ed.), Brain-computer interfacing for assistive robotics: Electroencephalograms, recurrent quantum neural networks, and user-centric graphical interfaces (pp. 7–63). Academic Press. https://doi.org/10.1016/B978-0-12-801543-8.00002-8
11. Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505
12. Hannig, A., & Jansen, S. (2010). Financial inclusion and financial stability: Current policy issues (Finance Working Papers No. 23124). East Asian Bureau of Economic Research. https://ideas.repec.org/p/eab/financ/23124.html
13. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. https://doi.org/10.2307/2280779
14. Levene, H. (1960). Robust tests for equality of variances. In I. Olkin, S. G. Ghurye, W. Hoeffding, W. G. Madow, & H. B. Mann (Eds.), Contributions to probability and statistics: Essays in honor of Harold Hotelling (pp. 278–292). Stanford University Press.
15. Liang, Z. (2006, August). Financial development, growth, and regional disparity in post-reform China (Research Paper No. 2006/90). United Nations University World Institute for Development Economics Research. https://www.econstor.eu/bitstream/10419/63252/1/517991217.pdf
16. Mlachila, M., Cui, L., Jidoud, A., Newiak, M., Radzewicz-Bak, B., Takebe, M., Ye, Y., & Zhang, J. (2016). Financial development in Sub-Saharan Africa: Promoting inclusive and sustainable growth. International Monetary Fund. https://www.imf.org/external/pubs/ft/dp/2016/afr1605.pdf
17. Ortiz-Moya, F., & Reggiani, M. (2025). Relational follow-up and review of the 2030 Agenda: Accelerating the implementation of the Sustainable Development Goals. Current Opinion in Environmental Sustainability, 76, Article 101558. https://doi.org/10.1016/j.cosust.2025.101558
18. Oti, E. U., & Olusola, M. O. (2024). Overview of agglomerative hierarchical clustering methods. British Journal of Computer, Networking and Information Technology, 7(2), 14–23. https://doi.org/10.52589/bjcnit-cv9poogw
19. Sarma, M. (2012, July). Index of financial inclusion: A measure of financial sector inclusiveness (Working Paper No. 07/2012). Berlin Working Papers on Money, Finance, Trade and Development. https://finance-and-trade.htw-berlin.de/fileadmin/HTW/Forschung/Money_Finance_Trade_Development/working_paper_series/wp_07_2012_Sarma_Index-of-Financial-Inclusion.pdf
20. Schinasi, G. (2006). Preserving financial stability. Economic Issues, (36). International Monetary Fund. https://doi.org/10.5089/9781589064980.051
21. Takmaz, S., Sarı, E., & Alataş, S. (2024). Financial inclusion in Turkey: Unpacking the provincial inequality and its determinants. Applied Economics Letters, 31(7), 661–669. https://doi.org/10.1080/13504851.2022.2141442
22. The Banks Association of Turkey. (2025). Banks and banking sector information. https://www.tbb.org.tr/en/banks-and-banking-sector-information
23. West, R. M. (2022). Best practice in statistics: The use of log transformation. Annals of Clinical Biochemistry, 59(3), 162–165. https://doi.org/10.1177/00045632211050531
24. Yorulmaz, R. (2013). Construction of a regional financial inclusion index in Turkey. BDDK Bankacılık ve Finansal Piyasalar / BRSA Banking and Financial Markets, 7(1), 79–101. https://www.bddk.org.tr/Content/docs/bddkDergiEn/dergi_0013_06.pdf
25. Zhuang, J., Gunatilake, H., Niimi, Y., Khan, M. E., Jiang, Y., Hasan, R., Khor, N., Lagman-Martin, A. S., Bracey, P., & Huang, B. (2009, October). Financial sector development, economic growth, and poverty reduction: A literature review (ADB Economics Working Paper Series No. 173). Asian Development Bank. https://hdl.handle.net/11540/1829