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

Yıl 2019, Sayı: 24, 259 - 268, 24.07.2019
https://doi.org/10.18092/ulikidince.491820

Öz

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

Kaynakça

  • Adler, Nicole, and Ekaterina Yazhemsky. 2010. “Improving Discrimination in Data Envelopment Analysis: PCA-DEA or Variable Reduction.” European Journal of Operational Research 202 (1). Elsevier B.V.: 273–84. doi:10.1016/j.ejor.2009.03.050.
  • Andrejić, Milan, Nebojša Bojović, and Milorad Kilibarda. 2013. “Benchmarking Distribution Centres Using Principal Component Analysis and Data Envelopment Analysis: A Case Study of Serbia.” Expert Systems with Applications 40 (10): 3926–33. doi:10.1016/j.eswa.2012.12.085.
  • BDDK/Strateji Geliştirme Daire Başkanlığı. 2010. “Bankacılıkta Yapısal Gelişmeler.”
  • Berger, Allen N., and Loretta J. Mester. 1997. “Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions?” Journal of Banking & Finance 21 (7): 895–947. doi:10.1016/S0378-4266(97)00010-1.
  • Chen, Jihong, Zheng Wan, Fangwei Zhang, Nam-kyu Park, Xinhua He, and Weiyong Yin. 2015. “Operational Efficiency Evaluation of Iron Ore Logistics at the Ports of Bohai Bay in China.” Mathematical Problems in Engineering 2016: 13. doi:http://dx.doi.org/10.1155/2016/9604819.
  • Cook, Wade D., and Larry M. Seiford. 2009. “Data Envelopment Analysis (DEA) - Thirty Years On.” European Journal of Operational Research 192 (1): 1–17. doi:10.1016/j.ejor.2008.01.032.
  • Cooper, W.W., Angela T. Kingyens, and Joseph C. Paradi. 2014. “Two-Stage Financial Risk Tolerance Assessment Using Data Envelopment Analysis.” European Journal of Operational Research 233 (1). Elsevier B.V.: 273–80. doi:10.1016/j.ejor.2013.08.030.
  • Daver, Gizay, and Güray Küçükkocaoğlu. 2016. “Turkish Banking Sector Performance Analyses.” In 5th Global Business and Finance Research Conference, edited by Mr. Md. Mahbubul Hoque Bhuiyan. 31 Blake Street, Berwick 3806, Melbourne, Victoria, Australia: World Business Institute Australia.
  • Duygun Fethi, Meryem, and Fotios Pasiouras. 2010. “Assessing Bank Efficiency And Performance With Operational Research And Artificial Intelligence Techniques: A Survey.” European Journal of Operational Research 204 (2). Elsevier B.V.: 189–98. doi:10.1016/j.ejor.2009.08.003.
  • Eskelinen, Juha. 2017. “Comparison of Variable Selection Techniques for Data Envelopment Analysis in a Retail Bank.” European Journal of Operational Research 259 (2). Elsevier B.V.: 778–88. doi:10.1016/j.ejor.2016.11.009.
  • Fried, Harold O., C. A. Knox Lovell, and Shelton S. Schmidt. 2008. The Measurement of Productive Efficiency and Productivity Change. Oxford University Press. Oxford University Press, Inc. doi:10.1093/acprof:oso/9780195183528.001.0001.
  • Liu, John S., Louis Y.Y. Lu, Wen Min Lu, and Bruce J.Y. Lin. 2013. “Data Envelopment Analysis 1978-2010: A Citation-Based Literature Survey.” Omega (United Kingdom) 41 (1). Elsevier: 3–15. doi:10.1016/j.omega.2010.12.006.
  • Luo, Yan, Gongbing Bi, and Liang Liang. 2012. “Input/Output Indicator Selection for DEA Efficiency Evaluation: An Empirical Study of Chinese Commercial Banks.” Expert Systems with Applications 39 (1). Elsevier Ltd: 1118–23. doi:10.1016/j.eswa.2011.07.111.
  • Nataraja, Niranjan R., and Andrew L. Johnson. 2011. “Guidelines for Using Variable Selection Techniques in Data Envelopment Analysis.” European Journal of Operational Research 215 (3). Elsevier B.V.: 662–69. doi:10.1016/j.ejor.2011.06.045.
  • Pendharkar, Parag C., and Marvin D. Troutt. 2011. “DEA Based Dimensionality Reduction for Classification Problems Satisfying Strict Non-Satiety Assumption.” European Journal of Operational Research 212 (1). Elsevier B.V.: 155–63. doi:10.1016/j.ejor.2011.01.037.
  • Ray, Subhash C. 2004. Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research. New York: Cambridge University Press.Seyrek, İbrahim Halil, and H. Ali Ata. 2010. “Veri Zarflama Analizi ve Veri Madenciliği Ile Mevduat Bankalarında Etkinlik Ölçümü.” BDDK Bankacılık ve Finansal Piyasalar 4 (2): 67–85.
  • Stoica, Ovidiu, Seyed Mehdian, and Alina Sargu. 2015. “The Impact of Internet Banking on the Performance of Romanian Banks: DEA and PCA Approach.” Procedia Economics and Finance 20 (15). Elsevier B.V.: 610–22. doi:10.1016/S2212-5671(15)00115-X.
  • Thanassoulis, Emmanuel. 1999. “Data Envelopment Analysis and Its Use in Banking.” INTERFACES 29 (3): 1–13. http://www.jstor.org/stable/25062482 .Toloo, Mehdi, and Seddigheh Babaee. 2015. “On Variable Reductions in Data Envelopment Analysis with an Illustrative Application to a Gas Company.” Applied Mathematics and Computation 270. Elsevier Ltd.: 527–33. doi:10.1016/j.amc.2015.06.122.
  • Zhao, Tianshu, Barbra Casu, and Alessandra Ferrari. 2009. “Regulatory Reform And Productivity Change In Indian Banking.”
  • Zhou, Peng, Kim Leng Poh, and Beng Wah Ang. 2007. “A Non-Radial DEA Approach To Measuring Environmental Performance.” European Journal of Operational Research 178 (1): 1–9. doi:10.1016/j.ejor.2006.04.038.

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

Yıl 2019, Sayı: 24, 259 - 268, 24.07.2019
https://doi.org/10.18092/ulikidince.491820

Öz

Bu çalışmada Türk
Bankacılık Sektörü Performansı gelişimini ve çeşitli metodolojilerin
kullanımını test ettik. Bu amaçla 2002.12 ile 2017.06 arasında çeşitli veri
zarflama analizi (DEA) performans ölçüm sistematiği kullandık. 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 değişimini inceledik ve Türk
Bankacılık Sektöründeki bankaların, artan performanslarını sürdürmek için
adımlar atmaları gerektiğini tespit ettik. 2001 krizinden sonra uygulanan
politikalar, 2008 kriz döneminde Türk bankacılık sektöründe olumlu etkiler
yaratmış, ancak kazanımlar sürdürülebilmelidir. Dört girdi ve dört çıktı
faktörü kullanan ana modelimizin, araştırılan boyut azaltma tekniği
yaklaşımları ile benzer sonuçlar verdiğini de bulduk.

Kaynakça

  • Adler, Nicole, and Ekaterina Yazhemsky. 2010. “Improving Discrimination in Data Envelopment Analysis: PCA-DEA or Variable Reduction.” European Journal of Operational Research 202 (1). Elsevier B.V.: 273–84. doi:10.1016/j.ejor.2009.03.050.
  • Andrejić, Milan, Nebojša Bojović, and Milorad Kilibarda. 2013. “Benchmarking Distribution Centres Using Principal Component Analysis and Data Envelopment Analysis: A Case Study of Serbia.” Expert Systems with Applications 40 (10): 3926–33. doi:10.1016/j.eswa.2012.12.085.
  • BDDK/Strateji Geliştirme Daire Başkanlığı. 2010. “Bankacılıkta Yapısal Gelişmeler.”
  • Berger, Allen N., and Loretta J. Mester. 1997. “Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions?” Journal of Banking & Finance 21 (7): 895–947. doi:10.1016/S0378-4266(97)00010-1.
  • Chen, Jihong, Zheng Wan, Fangwei Zhang, Nam-kyu Park, Xinhua He, and Weiyong Yin. 2015. “Operational Efficiency Evaluation of Iron Ore Logistics at the Ports of Bohai Bay in China.” Mathematical Problems in Engineering 2016: 13. doi:http://dx.doi.org/10.1155/2016/9604819.
  • Cook, Wade D., and Larry M. Seiford. 2009. “Data Envelopment Analysis (DEA) - Thirty Years On.” European Journal of Operational Research 192 (1): 1–17. doi:10.1016/j.ejor.2008.01.032.
  • Cooper, W.W., Angela T. Kingyens, and Joseph C. Paradi. 2014. “Two-Stage Financial Risk Tolerance Assessment Using Data Envelopment Analysis.” European Journal of Operational Research 233 (1). Elsevier B.V.: 273–80. doi:10.1016/j.ejor.2013.08.030.
  • Daver, Gizay, and Güray Küçükkocaoğlu. 2016. “Turkish Banking Sector Performance Analyses.” In 5th Global Business and Finance Research Conference, edited by Mr. Md. Mahbubul Hoque Bhuiyan. 31 Blake Street, Berwick 3806, Melbourne, Victoria, Australia: World Business Institute Australia.
  • Duygun Fethi, Meryem, and Fotios Pasiouras. 2010. “Assessing Bank Efficiency And Performance With Operational Research And Artificial Intelligence Techniques: A Survey.” European Journal of Operational Research 204 (2). Elsevier B.V.: 189–98. doi:10.1016/j.ejor.2009.08.003.
  • Eskelinen, Juha. 2017. “Comparison of Variable Selection Techniques for Data Envelopment Analysis in a Retail Bank.” European Journal of Operational Research 259 (2). Elsevier B.V.: 778–88. doi:10.1016/j.ejor.2016.11.009.
  • Fried, Harold O., C. A. Knox Lovell, and Shelton S. Schmidt. 2008. The Measurement of Productive Efficiency and Productivity Change. Oxford University Press. Oxford University Press, Inc. doi:10.1093/acprof:oso/9780195183528.001.0001.
  • Liu, John S., Louis Y.Y. Lu, Wen Min Lu, and Bruce J.Y. Lin. 2013. “Data Envelopment Analysis 1978-2010: A Citation-Based Literature Survey.” Omega (United Kingdom) 41 (1). Elsevier: 3–15. doi:10.1016/j.omega.2010.12.006.
  • Luo, Yan, Gongbing Bi, and Liang Liang. 2012. “Input/Output Indicator Selection for DEA Efficiency Evaluation: An Empirical Study of Chinese Commercial Banks.” Expert Systems with Applications 39 (1). Elsevier Ltd: 1118–23. doi:10.1016/j.eswa.2011.07.111.
  • Nataraja, Niranjan R., and Andrew L. Johnson. 2011. “Guidelines for Using Variable Selection Techniques in Data Envelopment Analysis.” European Journal of Operational Research 215 (3). Elsevier B.V.: 662–69. doi:10.1016/j.ejor.2011.06.045.
  • Pendharkar, Parag C., and Marvin D. Troutt. 2011. “DEA Based Dimensionality Reduction for Classification Problems Satisfying Strict Non-Satiety Assumption.” European Journal of Operational Research 212 (1). Elsevier B.V.: 155–63. doi:10.1016/j.ejor.2011.01.037.
  • Ray, Subhash C. 2004. Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research. New York: Cambridge University Press.Seyrek, İbrahim Halil, and H. Ali Ata. 2010. “Veri Zarflama Analizi ve Veri Madenciliği Ile Mevduat Bankalarında Etkinlik Ölçümü.” BDDK Bankacılık ve Finansal Piyasalar 4 (2): 67–85.
  • Stoica, Ovidiu, Seyed Mehdian, and Alina Sargu. 2015. “The Impact of Internet Banking on the Performance of Romanian Banks: DEA and PCA Approach.” Procedia Economics and Finance 20 (15). Elsevier B.V.: 610–22. doi:10.1016/S2212-5671(15)00115-X.
  • Thanassoulis, Emmanuel. 1999. “Data Envelopment Analysis and Its Use in Banking.” INTERFACES 29 (3): 1–13. http://www.jstor.org/stable/25062482 .Toloo, Mehdi, and Seddigheh Babaee. 2015. “On Variable Reductions in Data Envelopment Analysis with an Illustrative Application to a Gas Company.” Applied Mathematics and Computation 270. Elsevier Ltd.: 527–33. doi:10.1016/j.amc.2015.06.122.
  • Zhao, Tianshu, Barbra Casu, and Alessandra Ferrari. 2009. “Regulatory Reform And Productivity Change In Indian Banking.”
  • Zhou, Peng, Kim Leng Poh, and Beng Wah Ang. 2007. “A Non-Radial DEA Approach To Measuring Environmental Performance.” European Journal of Operational Research 178 (1): 1–9. doi:10.1016/j.ejor.2006.04.038.
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm MAKALELER
Yazarlar

Gizay Daver

Güray Küçükkocaoğlu

Yayımlanma Tarihi 24 Temmuz 2019
Yayımlandığı Sayı Yıl 2019 Sayı: 24

Kaynak Göster

APA Daver, G., & Küçükkocaoğlu, G. (2019). ON DIMENSION REDUCTIONS IN DATA ENVELOPMENT ANALYSIS WITH AN ILLUSTRATIVE APPLICATION TO TURKISH BANKING SECTOR PERFORMANCE. Uluslararası İktisadi Ve İdari İncelemeler Dergisi(24), 259-268. https://doi.org/10.18092/ulikidince.491820


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