DO OWNERSHIP, METHOD AND TYPE REALLY MATTER? A LITERATURE SURVEY ON COMPARATIVE BANK PERFORMANCE AND EFFICIENCY

Yıl 2019, , 631 - 649, 28.10.2019

Tuğba Sarı

https://doi.org/10.21076/vizyoner.594364

Öz

Evaluating the performance of banks is crucial due to its strong and positive relationship with financial growth and stability. The study presents a contemporary review of the literature on bank efficiency and performance. The purpose of the study is to analyze, compare and classify the comparative studies on bank efficiency and performance by ownership structures, countries of origin, bank types and quantitative methods used in the analyses. For this purpose, 135 comparative studies encompassing the period 2008-2017 from over 30 countries are analyzed. The study introduces the application of various mathematical techniques including multi-criteria decision making methods in bank efficiency measurement. Then the relationship between ownership and bank efficiency is analyzed. Finally comparison of Islamic banking with conventional banking in terms of efficiency and performance is discussed.

Anahtar Kelimeler

Literature Review, Bank Efficiency, Bank Performance, Quantitative Methods

SAHİPLİK, YÖNTEM VE BANKA TİPİ NE ÖLÇÜDE ÖNEMLİDİR? KARŞILAŞTIRMALI BANKA PERFORMANSI VE ETKİNLİĞİ ÜZERİNE BİR LİTERATÜR ARAŞTIRMASI

Öz

Bankacılık sektörünün performansı, finansal istikrar üzerinde olumlu ve önemli bir etkiye sahip olduğundan, konu ile ilgili tüm paydaşlar açısından büyük önem arz etmektedir. Bu makale, banka etkinliği ve performansı ile ilgili literatürün çağdaş bir incelemesini sunmaktadır. Bu çalışmanın amacı; sahiplik yapıları, menşe ülkeleri, banka türleri ve yapılan analizlerde kullanılan nicel yöntemler ile banka etkinliği ve performansına ilişkin karşılaştırmalı çalışmaları analiz etmek, karşılaştırmak ve sınıflandırmaktır. Bu amaçla, 2008-2017 dönemi için 30'dan fazla ülkeden 135 karşılaştırmalı inceleme yapılmıştır. Bu çalışma, banka performansı ve etkinliği ölçümünde kullanılan, çok kriterli karar verme yöntemlerini de içine alan çeşitli matematiksel tekniklerin uygulamalarını sunmaktadır. Çalışmada ayrıca, sahiplik ile banka performans düzeyi arasındaki ilişkiler analiz edilmiştir. Son olarak, İslami bankacılık ile konvansiyonel bankacılığın etkinlik ve performans açısından karşılaştırılması tartışılmıştır.

Anahtar Kelimeler

Literatür Araştırması, Banka Etkinliği, Banka Performansı, Sayısal Yöntemler

Kaynakça

• Abdul-Majid, M., Falahaty, M., and Jusoh, M. (2017). “Performance of Islamic and Conventional Banks: A Meta-Frontier Approach”, Research in International Business and Finance, 42, 1327-1335.
• Ahmad, W., and Luo, R.H. (2010). “Comparison of Banking Efficiency in Europe: Islamic Versus Conventional Banks”, In International Banking in the New Era: Post-Crisis Challenges and Opportunities, Emerald Group Publishing Limited, 361-389.
• Alqahtani, F., Mayes, D.G., and Brown, K. (2017). “Islamic Bank Efficiency Compared to Conventional Banks During The Global Crisis in the GCC Region”, Journal of International Financial Markets, Institutions and Money, 51, 58-74.
• Andries, A.M. (2011). “The Determinants of Bank Efficiency and Productivity Growth in the Central and Eastern European Banking Systems”, Eastern European Economics, 49(6), 38-59.
• Andrieş, A.M., and Căpraru, B. (2012). “Impact of European Integration on Banks’ Efficiency”, Procedia-Social and Behavioral Sciences, 58, 587-595.
• Ariss, R.T. (2010). “Competitive Conditions in Islamic and Conventional Banking: A Global Perspective”, Review of Financial Economics, 19(3), 101-108.
• Assaf, A.G., Matousek, R., and Tsionas, E.G. (2013). “Turkish Bank Efficiency: Bayesian Estimation with Undesirable Outputs”, Journal of Banking & Finance 37, 506-517.
• Assaf, A. G., Barros, C. P., and Matousek, R. (2011). “Technical Efficiency in Saudi Banks”, Expert Systems with Applications, 38(5), 5781-5786.
• Barros, C.P., Chen, Z., Liang, Q.B., and Peypoch, N. (2011). “Technical Efficiency in the Chinese Banking Sector”, Economic Modelling, 28(5), 2083-2089.
• Batir, T.E., Volkman, D.A., and Gungor, B., (2017). “Determinants of Bank Efficiency in Turkey: Participation Banks Versus Conventional Banks”, Borsa Istanbul Review 17(2), 86-89.
• Bayyurt, N. (2013). “Ownership Effect on Bank's Performance: Multi Criteria Decision Making Approaches on Foreign and Domestic Turkish Banks”, Procedia-Social and Behavioral Sciences, 99, 919-928.
• Beck, T., Demirgüç-Kunt, A., and Merrouche, O. (2013). “Islamic vs. Conventional Banking: Business Model, Efficiency and Stability”, Journal of Banking & Finance, 37(2), 433-447.
• Beheshtinia, M.A., & Omidi, S. (2017). “A Hybrid MCDM Approach for Performance Evaluation in the Banking İndustry”, Kybernetes, 46(8), 1386-1407.
• Behr, A. (2010). “Quantile Regression for Robust Bank Efficiency Score Estimation”, European Journal of Operational Research, 200(2), 568-581.
• Belanes, A., Ftiti, Z. and Regaieg, R., (2015). “What Can We Learn About Islamic Banks Efficiency Under Subprime Crisis? Evidence from GCC Region”, Pacific-Basin Finance Journal 33, 81-95.
• Ben Slama Zouari, S., and Boulila Taktak, N. (2014). “Ownership Structure and Financial Performance in Islamic Banks: Does Bank Ownership Matter?”, International Journal of Islamic and Middle Eastern Finance and Management, 7(2), 146-160.
• Berger, A.N. (2007). “International Comparisons of Banking Efficiency”, Financial Markets, Institutions & Instruments, 16(3), 119-144.
• Berger, A.N., and Humphrey, D.B. (1997). “Efficiency of Financial Institutions: International Survey and Directions for Future Research”, European Journal of Operational Research, 98(2), 175-212.
• Berger, A.N., Hasan, I., and Zhou, M. (2009). “Bank Ownership and Efficiency in China: What Will Happen in the World’s Largest Nation?”, Journal of Banking & Finance, 33(1), 113-130.
• Brissimis, S. N., Delis, M. D., & Tsionas, E. G. (2010). “Technical and Allocative Efficiency in European Banking”, European Journal of Operational Research, 204(1), 153-163.
• Burki, A.A., & Ahmad, S. (2010). “Bank Governance Changes in Pakistan: Is There A Performance Effect?”, Journal of Economics and Business, 62(2), 129-146.
• Caporale, G.M., Lodh, S., and Nandy, M. (2016). “The Performance of Banks in the MENA Region During the Global Financial Crisis”, Research in International Business and Finance, 42, 583-590.
• Casu, B., and Girardone, C. (2010). “Integration and Efficiency Convergence in EU Banking Markets”, Omega, 38(5), 260-267.
• Chan, S.G., Koh, E.H., Zainir, F., and Yong, C.C. (2015). “Market Structure, İnstitutional Framework and Bank Efficiency in ASEAN 5”, Journal of Economics and Business, 82, 84-112.
• Chang, T., Hu, J., Chou, R.Y., and Sun, L., (2012). “The Sources of Bank Productivity Growth in China During 2002-2009: A Disaggregation View”, Journal of Banking & Finance, 36, 1997-2006.
• Chao, C., Yu, M., and Wu, H., (2015). “An Application of the Dynamic Network DEA Model: The Case of Banks in Taiwan”, Emerging Markets Finance and Trade, 51(1), 133-151.
• Chen, Y.C., Chiu, Y.H., Huang, C.W., and Tu, C.H. (2013). “The Analysis of Bank Business Performance and Market Risk-Applying Fuzzy DEA”, Economic Modelling, 32, 225-232.
• Chen, Z., Matousek, R., and Wanke, P. (2018). “Chinese Bank Efficiency During the Global Financial Crisis: A Combined Approach Using Satisficing DEA and Support Vector Machines”, The North American Journal of Economics and Finance, 43, 71-86.
• Chitnis, A., and Vaidya, O.S. (2017). “Efficiency Ranking Method Using SFA and TOPSIS (ERM-ST): Case of Indian Banks”, Benchmarking: An International Journal, 25(2), 471-488.
• Chiu, C.R., Chiu, Y.H., Chen, Y.C., and Fang, C.L. (2016). “Exploring the Source of Metafrontier Inefficiency for Various Bank Types in the Two-Stage Network System With Undesirable Output”, Pacific-Basin Finance Journal, 36, 1-13.
• Chiu, Y.H., Luo, Z., Chen, Y.C., Wang, Z., and Tsai, M. P. (2013). “A Comparison of Operating Performance Management between Taiwan Banks and Foreign Banks Based on the Meta-Hybrid DEA Model”, Economic Modelling, 33, 433-439. Chortareas, G.E., Girardone, C., and Ventouri, A. (2012). “Bank Supervision, Regulation, and Efficiency: Evidence from the European Union”, Journal of Financial Stability, 8(4), 292-302.
• Chortareas, G.E., Girardone, C., and Ventouri, A. (2013). “Financial Freedom and Bank Efficiency: Evidence from the European Union”, Journal of Banking & Finance, 37(4), 1223-1231.
• Curi, C., Lozano-Vivas, A., and Zelenyuk, V. (2015). “Foreign Bank Diversification and Efficiency Prior to and During the Financial Crisis: Does one Business Model Fit All?”, Journal of Banking & Finance, 61, S22-S35.
• Daly, S., and Frikha, M. (2017). “Determinants of bank Performance: Comparative Study Between Conventional and Islamic Banking in Bahrain”, Journal of the Knowledge Economy, 8(2), 471-488.
• Daly, K., and Zhang, X. (2014). “Comparative Analysis of the Performance of Chinese Owned Banks’ in Hong Kong 2004–2010”, Journal of Multinational Financial Management, 27, 1-10.
• Deng, Q., Wong, W.P., Wooi, H.C., and Xiong, C. M. (2011). “An Engineering Method to Measure the Bank Productivity Effect in Malaysia During 2001-2008”, Systems Engineering Procedia, 2, 1-11.
• Derviz, A., and Podpiera, J. (2008). “Predicting Bank CAMELS and S&P Ratings: the Case of the Czech Republic”, Emerging Markets Finance and Trade, 44(1), 117-130.
• Dinçer, H., Hacıoğlu, U., (2013). “Performance Evaluation with Fuzzy VIKOR and AHP Method Based on Customer Satisfaction in Turkish Banking Sector”, Kybernetes 42 (7), 1072-1085.
• Djennas, M. (2016). “Business Cycle Volatility, Growth and Financial Openness: Does ıslamic finance make any difference?”, Borsa Istanbul Review, 16(3), 121-145.
• Doan, A., Lin, K.and Doong, S. (2017). “What Drives Bank Efficiency? The Interaction of Bank İncome Diversification and Ownership”, International Review of Economics and Finance, Article in press.
• Dong, Y., Firth, M., Hou, W., Yang, W. (2016). “Evaluating the Performance of Chinese commercial banks: A Comparative Analysis of Different Types of Banks”, European Journal of Operational Research, 252(1), 280-295.
• Dong, Y., Hamilton, R., and Tippett, M. (2014). “Cost Efficiency of the Chinese Banking Sector: A Comparison 0f Stochastic Frontier Analysis and Data Envelopment analysis”, Economic Modelling, 36, 298-308.
• Doumpos, M.,ve Zopounidis, C. (2010). “A multicriteria decision support system for bank rating”, Decision Support Systems, 50(1), 55-63.
• Drake, L., Hall, M. J.,and Simper, R. (2009). “Bank Modelling Methodologies: A Comparative Non-Parametric analysis of efficiency in the Japanese banking sector”, Journal of International Financial Markets, Institutions and Money, 19(1), 1-15.
• Fernandes, F.D.S., Stasinakis, C., & Bardarova, V. (2018). “Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development”, Expert Systems with Applications, 96, 284-301.
• Fethi, M. D., and Pasiouras, F. (2010). “Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey”, European journal of operational research, 204(2), 189-198.
• Fiordelisi, F., Marques-Ibanez, D., and Molyneux, P. (2011). “Efficiency and risk in European banking”, Journal of Banking & Finance, 35(5), 1315-1326.
• Fujii, H., Managi, S., Matousek, R., (2014).” Indian Bank Efficiency and Productivity Changes with Undesirable Outputs: A Disaggregated Approach”, Journal of Banking & Finance 38, 41-50.
• Fukuyama, H., Matousek, R., (2017). “Modelling Bank Performance: A network DEA Approach”, European Journal of Operational Research 259, 721-732.
• García, F., Guijarro, F., and Moya, I. (2010). “Ranking Spanish Savings Banks: A Multi-Criteria Approach”, Mathematical and Computer Modelling, 52(7), 1058-1065.
• Gardener, E., Molyneux, P., & Nguyen-Linh, H. (2011). “Determinants of efficiency in South East Asian banking”, The Service Industries Journal, 31(16), 2693-2719.
• Glass, J.C., McKillop, D.G., Quinn, B., Wilson, J., (2012). “Cooperative bank efficiency in Japan: a parametric distance function analysis”, The European Journal of Finance 20 (3), 291-317.
• Goddard, J., Molyneux, P., & Williams, J. (2014). “Dealing with cross-firm heterogeneity in bank efficiency estimates: Some evidence from Latin America”, Journal of Banking & Finance, 40, 130-142.
• Hardianto, D. S. & Wulandari, P. (2016). “Islamic bank vs conventional bank: intermediation, fee based service activity and efficiency”, International Journal of Islamic and Middle Eastern Finance and Management, 9(2), 296-311.
• Hassan, M. K., & Aliyu, S. (2018). “A contemporary survey of islamic banking literature”, Journal of Financial Stability, 34, 12-43.
• Hisham Yahya, M., Muhammad, J., & Razak Abdul Hadi, A. (2012). “A comparative study on the level of efficiency between Islamic and conventional banking systems in Malaysia”, International Journal of Islamic and Middle Eastern Finance and Management, 5(1), 48-62.
• Hsiao, C., Yan, S. H. E. N., & Wenlong, B. I. A. N. (2015). “Evaluating the effectiveness of China's financial reform-The efficiency of China's domestic banks”, China Economic Review, 35, 70-82.
• Huang, T. H., Chiang, D. L., & Tsai, C. M. (2015). “Applying the new meta-frontier directional distance function to compare banking efficiencies in Central and Eastern European countries”, Economic Modelling, 44, 188-199.
• Huang, T. H., Chen, K. C., & Lin, C. I. (2017a). “An extension from network DEA to copula-based network SFA: Evidence from the US commercial banks in 2009”, The Quarterly Review of Economics and Finance.
• Huang, T. H., Chiang, D. L., & Chao, S. W. (2017b). “A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework”, The Quarterly Review of Economics and Finance.
• Huang, T. H., Lin, C. I., & Chen, K. C. (2017c). “Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies”, Pacific-Basin Finance Journal, 41, 93-110.
• Ismail, F., Majid M.S.A., Rahim, R.A., (2013). “Efficiency of Islamic and conventional banks in Malaysia”, Journal of Financial Reporting and Accounting 11 (1), 92-107.
• Ivan, I. C. (2015). “Stochastic Frontiers. Case Study–Japanese Banking System”, Procedia Economics and Finance, 27, 652-658.
• Jawadi, F., Jawadi, N., Cheffou, A. I., Ameur, H. B., & Louhichi, W. (2017). “Modelling the effect of the geographical environment on Islamic banking performance: A panel quantile regression analysis”, Economic Modelling.
• Jiang, C., Yao, S., & Zhang, Z. (2009). “The effects of governance changes on bank efficiency in China: A stochastic distance function approach”, China Economic Review, 20(4), 717-731.
• Jiang, C., Yao, S., & Feng, G. (2013). “Bank ownership, privatization, and performance: Evidence from a transition country”, Journal of Banking & Finance, 37(9), 3364-3372.
• Johnes, J., Izzeldin, M., Pappas, V., (2014). “A comparison of bank performance of Islamic and conventional banks 2004-2009”, Journal of Economic Behavior & Organization 103, S93-S107.
• Jouida, S., Bouzgarrou, H., & Hellara, S. (2017). “The effects of activity and geographic diversification on performance: Evidence from French financial institutions”, Research in International Business and Finance, 39, 920-939.
• Kao, C., & Liu, S. T. (2014). “Measuring performance improvement of Taiwanese commercial banks under uncertainty”, European Journal of Operational Research, 235(3), 755-764.
• Kaur, S., & Gupta, P. K. (2015). “Productive efficiency mapping of the Indian banking system using data envelopment analysis”, Procedia Economics and Finance, 25, 227-238.
• Kenjegalieva, K., Simper, R., Weyman-Jones, T., & Zelenyuk, V. (2009). “Comparative analysis of banking production frameworks in Eastern European financial markets”, European Journal of Operational Research, 198(1), 326-340.
• Kevork, I. S., Pange, J., Tzeremes, P., & Tzeremes, N. G. (2017). “Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector”, European Journal of Operational Research, 261(3), 1125-1140.
• Kiliç, M. (2011). “Cross-border bank acquisitions and banking sector performance: an empirical study of Turkish banking sector”, Procedia-Social and Behavioral Sciences, 24, 946-959.
• Koutsomanoli-Filippaki, A., Margaritis, D., & Staikouras, C. (2009). “Efficiency and productivity growth in the banking industry of Central and Eastern Europe”, Journal of Banking & Finance, 33(3), 557-567.
• Koutsomanoli-Filippaki, A., Mamatzakis, E., & Staikouras, C. (2009). “Banking inefficiency in Central and Eastern European countries under a quadratic loss function”, Emerging markets review, 10(3), 167-178.
• Kumar, S., & Gulati, R. (2009). “Measuring efficiency, effectiveness and performance of Indian public sector banks”, International Journal of Productivity and Performance Management, 59(1), 51-74.
• Lee, C. C., & Huang, T. H. (2017). “Cost efficiency and technological gap in Western European banks: A stochastic metafrontier analysis”, International Review of Economics & Finance, 48, 161-178.
• Lee, J. Y., & Kim, D. (2013). “Bank performance and its determinants in Korea”, Japan and the World Economy, 27, 83-94.
• Lensink, R., Meesters, A., & Naaborg, I. (2008). “Bank efficiency and foreign ownership: Do good institutions matter?”, Journal of Banking & Finance, 32(5), 834-844.
• Liadaki, A., & Gaganis, C. (2010). “Efficiency and stock performance of EU banks: Is there a relationship?”, Omega, 38(5), 254-259.
• Lin, K. L., Doan, A. T., & Doong, S. C. (2016). “Changes in ownership structure and bank efficiency in Asian developing countries: The role of financial freedom”, International Review of Economics & Finance, 43, 19-34.
• Lin, S. W., Shiue, Y. R., Chen, S. C., & Cheng, H. M. (2009). “Applying enhanced data mining approaches in predicting bank performance: A case of Taiwanese commercial banks”, Expert Systems with Applications, 36(9), 11543-11551.
• Lin, X., & Zhang, Y. (2009). “Bank ownership reform and bank performance in China”, Journal of Banking & Finance, 33(1), 20-29.
• Mamatzakis, E., Staikouras, C., & Koutsomanoli-Filippaki, A. (2008). “Bank efficiency in the new European Union member states: Is there convergence?”, International Review of Financial Analysis, 17(5), 1156-1172.
• Mandic, K., Delibasic, B., Knezevic, S., & Benkovic, S. (2014). “Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods”, Economic Modelling, 43, 30-37.
• Manlagñit, M. C. V. (2011). “Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines”, Journal of Asian Economics, 22(1), 23-35.
• Margono, H., Sharma, S. C., & Melvin, P. D. (2010). “Cost efficiency, economies of scale, technological progress and productivity in Indonesian banks”, Journal of Asian Economics, 21(1), 53-65.
• Matousek, R., Rughoo, A., Sarantis, N., & Assaf, A. G. (2015). “Bank performance and convergence during the financial crisis: Evidence from the ‘old’ European Union and Eurozone”, Journal of Banking & Finance, 52, 208-216.
• Miah, M. D., & Uddin, H. (2017). “Efficiency and stability: A comparative study between Islamic and conventional banks in GCC countries”, Future Business Journal, 3(2), 172-185.
• Miah, M. D., & Sharmeen, K. (2015). “Relationship between capital, risk and efficiency: A comparative study between Islamic and conventional banks of Bangladesh”, International Journal of Islamic and Middle Eastern Finance and Management, 8(2), 203-221.
• Mobarek, A., & Kalonov, A. (2014). “Comparative performance analysis between conventional and Islamic banks: empirical evidence from OIC countries”, Applied Economics, 46(3), 253-270.
• Mohanty, S. K., Lin, H. J., Aljuhani, E. A., & Bardesi, H. J. (2016). “Banking efficiency in Gulf Cooperation Council (GCC) countries: A comparative study”, Review of Financial Economics, 31, 99-107.
• Mollah, S., & Zaman, M. (2015). “Shari’ah supervision, corporate governance and performance: Conventional vs. Islamic banks”, Journal of Banking & Finance, 58, 418-435.
• Narayan, P. K., & Phan, D. H. B. (2017). “A survey of Islamic banking and finance literature: Issues, challenges and future directions”, Pacific-Basin Finance Journal.
• Niţoi, M., & Spulbar, C. (2015). “An Examination of Banks’ Cost Efficiency in Central and Eastern Europe”, Procedia Economics and Finance, 22, 544-551.
• Olson, D., & Zoubi, T. A. (2011). “Efficiency and bank profitability in MENA countries”, Emerging markets review, 12(2), 94-110.
• Othman, N., Abdul-Majid, M., & Abdul-Rahman, A. (2017). “Partnership financing and bank efficiency”, Pacific-Basin Finance Journal, 46, 1-13.
• Paradi, J. C., Rouatt, S., & Zhu, H. (2011). “Two-stage evaluation of bank branch efficiency using data envelopment analysis”, Omega, 39(1), 99-109.
• Perera, S., Skully, M., (2012). “On the cross-methodological validation of bank efficiency assessments”, Studies in Economics and Finance, 29 (1), 26-42.
• Puri, J., & Yadav, S. P. (2014). “A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India”, Expert Systems with Applications, 41(14), 6419-6432.
• Quaranta, A. G., Raffoni, A., & Visani, F. (2018). “A multidimensional approach to measuring bank branch efficiency.”,European Journal of Operational Research, 266(2), 746-760.
• Rashid, A., Jabeen, S., (2016). “Analyzing performance determinants: Conventional versus Islamic banks in Pakistan”, Borsa Istanbul Review 16 (2), 92-107.
• Ray, S. C., & Das, A. (2010). “Distribution of cost and profit efficiency: Evidence from Indian banking”, European Journal of Operational Research, 201(1), 297-307.
• Rebai, S., Azaiez, M. N., & Saidane, D. (2012). “Sustainable performance evaluation of banks using a multi-attribute utility model: an application to French banks”, Procedia Economics and Finance, 2, 363-372.
• Řepková, I. (2014). “Efficiency of the Czech banking sector employing the DEA window analysis approach”, Procedia Economics and Finance, 12, 587-596.
• Rosman, R., Wahab, N. A., & Zainol, Z. (2014). “Efficiency of Islamic banks during the financial crisis: An analysis of Middle Eastern and Asian countries”, Pacific-Basin Finance Journal, 28, 76-90.
• Salim, R., Arjomandi, A., & Seufert, J. H. (2016). “Does corporate governance affect Australian banks' performance?”, Journal of International Financial Markets, Institutions and Money, 43, 113-125.
• San-Jose, L., Retolaza, J. L., & Pruñonosa, J. T. (2014). “Efficiency in Spanish banking: A multi-stakeholder approach analysis”, Journal of International Financial Markets, Institutions and Money, 32, 240-255.
• Ioanni Schiniotakis, N. (2012). “Profitability factors and efficiency of Greek banks”, EuroMed Journal of Business, 7(2), 185-200.
• Seçme, N. Y., Bayrakdaroğlu, A., & Kahraman, C. (2009).” Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS”, Expert Systems with Applications, 36(9), 11699-11709.
• Shah, S. Q., & Jan, R. (2014). “Analysis of financial performance of private banks in Pakistan”, Procedia-Social and Behavioral Sciences, 109, 1021-1025.
• Sokic, A. (2015). “Cost efficiency of the banking industry and unilateral euroisation: A stochastic frontier approach in Serbia and Montenegro”, Economic Systems, 39(3), 541-551.
• Staikouras, C., Mamatzakis, E., & Koutsomanoli-Filippaki, A. (2008). “Cost efficiency of the banking industry in the South Eastern European region”, Journal of International Financial Markets, Institutions and Money, 18(5), 483-497.
• Stankeviciene, J., Mencaite, E., (2012). “The evaluation of bank performance using multi-criteria decision making model: a case study on Lithuanian commercial banks”, Technological and Economic Development of Economy 18 (1), 189-205.
• Staub, R. B., e Souza, G. D. S., & Tabak, B. M. (2010). “Evolution of bank efficiency in Brazil: A DEA approach”, European journal of operational research, 202(1), 204-213.
• Sturm, J. E., & Williams, B. (2010). “What determines differences in foreign bank efficiency? Australian evidence”, Journal of International Financial Markets, Institutions and Money, 20(3), 284-309.
• Sturm, J. E., & Williams, B. (2008). “Characteristics determining the efficiency of foreign banks in Australia”, Journal of Banking & Finance, 32(11), 2346-2360.
• Sufian, F., & Kamarudin, F. (2016). “Determinants of efficiency in the Malaysian banking sector: Does bank origins matter?”, Intellectual Economics, 10(1), 38-54.
• Sun, L., & Chang, T. P. (2011). “A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries”, Journal of Banking & Finance, 35(7), 1727-1735.
• Svitalkova, Z. (2014). “Comparison and evaluation of bank efficiency in selected countries in EU”, Procedia Economics and Finance, 12, 644-653.
• Tabak, B. M., Miranda, R. B., & Fazio, D. M. (2013). “A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks”, Journal of Banking & Finance, 37(10), 3747-3756.
• Thoraneenitiyan, N., & Avkiran, N. K. (2009). “Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA”, Socio-Economic Planning Sciences, 43(4), 240-252.
• Titko, J., Jureviciene, D., (2013). “DEA application at cross-country benchmarking: Latvian vs. Lithuanian banking sector”, Procedia Social and Behavioral Sciences 110, 1124-1135.
• Tsionas, E. G., Assaf, A. G., & Matousek, R. (2015). “Dynamic technical and allocative efficiencies in European banking”, Journal of Banking & Finance, 52, 130-139.
• Ulas, E., & Keskin, B. (2015). “Performance evaluation and ranking of Turkish banking sector”, Procedia Economics and Finance, 25, 297-307.
• Wang, K., Huang, W., Liu, Y., (2014). “Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA”, Omega 44, 5-20.
• Wanke, P., Azad, M. A. K., & Barros, C. P. (2016a). “Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach”, Research in International Business and Finance, 36, 485-498.
• Wanke, P., Azad, M. A. K., & Barros, C. P. (2016b).” Efficiency factors in OECD banks: A ten-year analysis”, Expert Systems with Applications, 64, 208-227.
• Wanke, P., Azad, M. A. K., Barros, C. P., & Hassan, M. K. (2016c). “Predicting efficiency in Islamic banks: An integrated multi-criteria decision making (MCDM) approach”, Journal of International Financial Markets, Institutions and Money, 45, 126-141.
• Wanke, P., Azad, A. K., & Emrouznejad, A. (2017). “Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach”, Global Finance Journal, 35, 58-71.
• Wasiuzzaman, S., Gunasegavan, U.N., (2013). “Comparative study of the performance of Islamic and conventional banks”, Humanomics 29 (1), 43-60.
• Wu, M., Li, C., Fan, J., Wang, X., & Wu, Z. (2017). “Assessing the Global Productive Efficiency of Chinese Banks Using the Cross-Efficiency Interval and VIKOR”, Emerging Markets Review.
• Wu, H. Y., Tzeng, G. H., & Chen, Y. H. (2009). “A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard”, Expert Systems with Applications, 36(6), 10135-10147.
• Yilmaz, A., & Güneş, N. (2015). “Efficiency Comparison of Participation and Conventional Banking Sectors in Turkey between 2007-2013”, Procedia-Social and Behavioral Sciences, 195, 383-392.
• Yin, H., Yang, J., & Mehran, J. (2013).” An empirical study of bank efficiency in China after WTO accession”, Global Finance Journal, 24(2), 153-170.
• Zimková, E. (2014). “Technical efficiency and super-efficiency of the banking sector in Slovakia”, Procedia Economics and Finance, 12, 780-787.
• Zha, Y., Liang, N., Wu, M., & Bian, Y. (2016). “Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach”, Omega, 60, 60-72.
• Zuhroh, I., Ismail, M., & Maskie, G. (2015). “Cost Efficiency of Islamic Banks in Indonesia–A Stochastic Frontier Analysis”, Procedia-Social and Behavioral Sciences, 211, 1122-1131.