Türkiye’deki Mevduat Bankalarının Performansı

Bu çalışma Türkiye’deki mevduat bankalarının 2011-2018 yılları arasındaki performasını Stokastik Sınır analiziyle incelemektedir. Ayrıca çalışma 4 girdi ve etkinsizliğe etki edebilecek banka büyüklüğü, sahiplik (kamu ya da özel; yerli ya da yabancı), Türkiye’de kurulmuş olma, zaman, TL aktif / Toplam aktif, Likit aktif / Toplam aktif ve Toplam ücret / Çalışan sayısı gibi sekiz değişkeni incelemektedir. Modelin popüler olması, verinin dengesiz bir veri seti olması ve etkinsizlik etkilerini verdiği için Battese ve Coelli (1995) model analizde kullanılmıştır. Sonuçlara göre büyük bankalar küçük bankalara göre daha iyi performans göstermektedir. Türkiye’de kurulmuş olmak mevduat bankalarının performansını artırıcı bir etki yapmaktadır. Çalışanlara daha fazla ücret ödemek banka performansının daha iyi olacağı anlamına gelmemektedir, kamu bankası ya da özel banka olmanın etkinsizlik üzerine önemli bir etki yaptığı görülmemektedir, yabancı banka olmak etkinsizliği azaltmakta ve zaman Türk banka endüstrisinin etkinsizliği üzerinde pozitif bir etki yapmaktadır.

Anahtar Kelimeler:

Banka Etkinliği, Stokastik Sınır Analizi, Türk Bankaları

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Abdallah, Zuhura M – Amin, Mohamad A. M.D – Sanusi, Nur Azura – Kusairi, Suhal (2014), “Impact of Size and Ownership Structure on Efficiency of Commercial Banks in Tanzania: Stochastic Frontier Analysis”, International Journal of Economic Perspectives, 2014, Vol.8 Issue.4, pp.66-76
Aigner, Dennis - Lovell, C.A. Knox - Schmidt, Peter (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models”, Journal of Econometrics, 6, pp.21-37
Baten, Azizul – Kasım, Maznah Mat - Ramlı, Razamin- Jamil, Jastini Mohd (2014), “Stochastic Frontier Approach for Measuring Online Bank Efficiency in the Kuala Lumpur Stock Exchange Market”, Journal of Internet Banking and Commerce, Vol.19 Issue.3
Battese, George E. – Coelli, Timothy J. (1992), “Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India”, The Journal of Productivity Analysis 3, pp.153-169
Battese George E – Coelli, Timothy J. (1995), “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data”, Empirical Economics, 20, pp.325-332,
Battese, George E - Corra, Greg S. (1977), “Estimation of a Production Frontier Model: With Application to the Pastoral Zone of Eastern Australia,” Australian Journal of Agricultural and Resource Economics, 21, pp.169–179
Berger, Allen N – Humphrey, David B. (1997), “Efficiency of financial institutions: International survey and directions for future research”, European Journal of Operational Research, 98, pp.175-212
Coelli, Timothy J - Prasada Rao, D.S - O’Donnell, Christopher J - Battese, George E (2005), An Introduction to Efficiency and Productivity Analysis, Second Edition, Springer Science + Business Media Inc.
Dimitras, Augustinos I.- Gaganis, Chrysovalantis- Pasiouras, Fotios (2018), “Financial reporting standards' change and the efficiency measures of EU banks”, International Review of Financial Analysis, 59, pp.223-233
Ersoy, İmre (2009), “The Impact of the Global Financial Crisis on the Efficiency of Foreign Banks in Turkey”, 12th International Conference on Finance & Banking: Structural & Regional Impacts of Financial Crises. 2009, pp.148-161
Fernández, Xosé Luís- Paz-Saavedra, David- Coto-Millán, Pablo (2019), “The impact of Brexit on bank efficiency: Evidence from UK and Ireland”, Finance Research Letters
https://data.oecd.org/price/inflation-cpi.htm (Accessed on 31st of July 2019)
https://www.tbb.org.tr/tr/ (Accessed on 31st of July 2019)
https://verisistemi.tbb.org.tr/index.php?/tbb/report_mali (Accessed on 16th of July 2019)
Liu, Ruinan (2019), “Comparison of Bank Efficiencies between US and Canada: Evidence Based on SFA and DEA”, Journal of Competitiveness, 11(2), pp.113-129
Meeusen, Wim J.J- Van den Broeck, Julien (1977), “Efficiency estimation from Cobb-Douglas production functions with composed error”, International Economic Review 18, pp.435-444.
Nitoi, Mihai - Spulbar, Cristi (2015), “An Examination of Banks’ Cost Efficiency in Central and Eastern Europe”, Procedia Economics and Finance, 22, pp.544 – 551
Osuagwu, Eze Simpson – Isola, Wakeel Atanda- Nwaogwugwu, Isaac Chii (2018), “Measuring Technical Efficiency and Productivity Change in the Nigerian Banking Sector: A Comparison of Non-parametric and Parametric Techniques”, African Development Review, 30 (4), pp.490–501
Oteng-Abayie, Eric Fosu (2017), “Technical Efficiency and Total Factor Productivity of Rural Banks in Ghana”, Cogent Economics & Finance, Vol.5 Issue 1
Parinduri, Rasyad A – Riyanto, Yohanes E. (2014), “Bank Ownership and Efficiency in the Aftermath of Financial Crises: Evidence from Indonesia”, Review of Development Economics, 18 (1), pp.93–106
Samad, Abdus (2019), “Determinants of Commercial Bank Efficiency? Evidence from Bangladesh, Journal of Business Diversity”, West Palm Beach, 19 (3), pp.119-136
Sadalia, Isfenti – Kautsar, Muhammad Haikal - Irawati, Nisrul - Muda, Iskandar (2018), “Analysis of the Efficiency Performance of Sharia and Conventional Banks Using Stochastic Frontier Analysis”, Banks and Bank Systems, Vol.13 Issue.2, pp.27-38
Sealey, Calvin – Lindley, James (1977), “Inputs, Outputs and a Theory of Production and Cost at Depository Financial Institutions”, Journal of Finance,32 (4), pp.1251–1266.
Van Der Westhuizen, Gerhardus – Battese, George E. (2013), “Technical Efficiency of South African Banks in Generating Interest and non-Interest Income: A Stochastic Frontier Analysis”, Studia Universitatis Babes-Bolyai. Oeconomica, 58 (3) , pp.20-42
Weill, Laurent (2004), “Measuring Cost Efficiency in European Banking: A Comparison of Frontier Techniques”, Journal of Productivity Analysis, 21, pp.133-152