AÇIKLAYICI BİR UYGULAMA İLE TÜRK BANKACILIK SEKTÖRÜ PERFORMANSINA VERİ ZARFLAMA ANALİZİ BOYUT AZALTIMLARI

Bu çalışmada Türk Bankacılık Sektörü Performansı gelişimi ve çeşitli metodolojilerin kullanımı test edilmiştir. Bu amaçla 2002.12 ile 2017.06 arasında çeşitli veri zarflama analizi (DEA) performans ölçüm sistematiği kullanılmıştır. Önerilen DEA modelleri, boyut azaltma tekniklerini içermektedir. Birincisi, PCA olarak kısaltılmış olan temel bileşen analizi ve ikincisi ise korelasyon bazlı DEA model kurulmasıdır. Zaman içerisinde performans değişimi incelenmiştir ve Türk Bankacılık Sektöründeki bankaların, artan performanslarını sürdürmek için adımlar atmaları gerektiği tespit edilmiştir. 2001 krizinden sonra uygulanan politikalar, 2008 kriz döneminde Türk bankacılık sektöründe olumlu etkiler yaratmıştır, ancak kazanımlar sürdürülebilmelidir. Dört girdi ve dört çıktı faktörü kullanan ana modelinin, araştırılan boyut azaltma tekniği yaklaşımları ile benzer sonuçlar verdiği bulunmuştur.

ON DIMENSION REDUCTIONS IN DATA ENVELOPMENT ANALYSIS WITH AN ILLUSTRATIVE APPLICATION TO TURKISH BANKING SECTOR PERFORMANCE

In this study we tested the Turkish Banking Sector Performance development and the usage of variousmethodologies. For this purpose we used several data envelopment analysis(DEA) performance measurementsystematics from 2002.12 to 2017.06. Proposed DEA models include dimension reduction techniques. Thefirst one is principal component analysis which is abbreviated as PCA and the second one is correlation basedDEA model construction. We investigated performance change over time and found that banks in TurkishBanking Sector should take steps now for maintaining their improved performances. Policies implementedafter the 2001 crisis had positive effects during the 2008 crisis period in the Turkish banking sector, but gainsshould be sustained. We also found that our main model which uses four input and four output factors yieldssimilar results with the investigated dimension reduction technique approaches.

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