Journals / Akdeniz İİBF Dergisi / 2014 / Cilt: 14 - Sayı: 28

TÜRK BANKACILIĞINDA ETKİNLİĞİN BELİRLENMESİ VE ÇIKTILARIN ETKİNLİK VE TFV ÜZERİNE ETKİSİ: PANEL REGRESYONLU VZA ANALİZİ

DETERMINATION OF THE EFFICIENCY OF THE TURKISH BANKS AND OUTPUTS' CONTRIBUTIONS TO THE EFFICIENCY AND TFP: DEA WITH PANEL REGRESSION

Pages
1–23
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The Malmquist Index is used for the Total Factor Productivity and it was found out that the productivity increased only at the rate of two thousandth (0.002) for all the enterprises for the period.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the Technical Efficiency and the Allocative Efficiency Scores of 23 commercial banks operating in Turkey between 2003 and 2012 were obtained by use of the Data Envelopment Analysis.
📊
Key Findings & Data:In the CCR model analysis; while 3 banks did not have Technical Efficiency for the first years, this number doubles for 2012.
💡
Conclusion & Impact:The Malmquist Index is used for the Total Factor Productivity and it was found out that the productivity increased only at the rate of two thousandth (0.002) for all the enterprises for the period.
🔬Design:Modeling & Simulation
📍Scope:2003 Verileri
⚙️Variables:Domain Parameters

Abstract

In this study, the Technical Efficiency and the Allocative Efficiency Scores of 23 commercial banks operating in Turkey between 2003 and 2012 were obtained by use of the Data Envelopment Analysis. In the CCR model analysis; while 3 banks did not have Technical Efficiency for the first years, this number doubles for 2012. Whereas only 5 banks were efficient in terms of Allocative Efficiency for the first year, this number goes down to 4 in the last year. As a result of the BCC model; while only one bank did not have Technical Efficiency at the beginning of the period, this number quadruples at the end of the period. This number for the Allocative Efficiency is 10 at the beginning of the period and 16 at the end of the period. Considering the CCR model, it is more significant in the estimation by using the panel data regression model in order to determine the effect of the outputs on the efficiency of the banks. The Malmquist Index is used for the Total Factor Productivity and it was found out that the productivity increased only at the rate of two thousandth (0.002) for all the enterprises for the period.

Özet

Bu çalışmada Türkiyede 2003-2012 yılları arasında faaliyet gösteren 23 bankanın Veri Zarflama Analizi ile Teknik Etkinlik ve Tahsis Etkinliği skorları elde edilmiştir. CCR modeli ile yapılan analizde ilk yıl için toplam 3 firma teknik etkin değilken 2012 yılı için bu sayı iki katına çıkmıştır. Tahsis etkinliği için ilk yıl için sadece 5 firma etkin iken son yıl için bu sayı 4e düşmüştür. BCC modeli ile girdi yönelimli ve değişken getirili analizde dönem başında sadece bir banka teknik etkinliğe sahip değilken dönem sonunda bu sayı 4e çıkmaktadır. Tahsis etkinliği için bu sayı dönem başında 10 ve dönem sonunda 16 olarak çıkmaktadır. Bankaların etkinliğine çıktıların etkisini belirlemek amacı ile Rastgele Etkiler Panel Regresyon modeli ile yapılan tahminde CCR modelinin daha anlamlı olduğu görülmüştür. Toplam Faktör Verimliliği için Malmquist Endeksi kullanılarak yıllar boyunca tüm işletmeler için Toplam Faktör Verimliliğinin sadece binde iki düzeyinde arttığı tespit edilmiştir.

🔖

Cite This Article

KABASAKAL, A., KUTLAR, A., SARIKAYA, M. (2022). TÜRK BANKACILIĞINDA ETKİNLİĞİN BELİRLENMESİ VE ÇIKTILARIN ETKİNLİK VE TFV ÜZERİNE ETKİSİ: PANEL REGRESYONLU VZA ANALİZİ. Akdeniz İİBF Dergisi, Cilt: 14 - Sayı: 28, 1–23. https://ajindex.com/articles/433123

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (6)

  1. AVKIRAN, N.K., (2011). Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks, Omega, 39, 323–334. BALGATI, B.H. (2008). Econometrics. Berlin: Springer. BANKER, R.D., CHARNES, A., and COOPER, W. W., (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30(9), 1078-1092.
  2. CAVES, D., CHRISTIENSEN, L.R. and DIEWERT, W.E., (1982). The economic theory of indeks numbers and the measurement of input, output and productivity. Econometrica, 50, 1393-1414.
  3. CHARNES, A., COOPER, W.W., and RHODES, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
  4. CHARNES, A., COOPER, W. W. and RHODES, E. (1979). Short communication: Measuring the efficiency of decision making units. European Journal of Operational Research, 3, 339. COOPER, W. W., SEIFORD, L.M. and TONE, K. (2006). Introduction to data envelopment analysis and its uses. New York: Springer. COŞKUN, M., ARDOR, H. N., ÇERMIKLI, A. H., ERUYGUR, H. O., ÖZTÜRK, F., TOKATLIOĞLU, İ., AYKAÇ, G., and DAĞLAROĞLU, T., (2012). Türkiye’de bankacılık sektörü piyasa yapısı, firma davranışları ve rekabet analizi. İstanbul:
  5. Türkiye Bankalar Birliği. DAS, A., AND GHOSH, S., (2006). Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period, Review of Financial Economics, 15, 193–221. DEBREU, G. (1951). The coefficient of resource utilization. Econometrica, 19(3), 273–292. DENIZER, C. A., DINC, M., AND TARIMCILAR, M., (2007). Financial liberalization and banking efficiency: evidence from Turkey, Journal of Productivity Analysis, 27, 177–195. doi: 10.1007/s11123-007- 0035-9.
  6. FARRELL, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253–281. FUKUYAMA, H., and MATOUSEK, R, (2011). Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model, Journal of International Financial Markets, Institutions & Money, 21, 75–91. doi:10.1016/j.intfin.2010.08.004. GUJARATI, D.N. (2004). Basic Econometrics, 4th Ed. New York: McGraw Hill. HAVRANEK, T. and IRSOVA, Z., (2013). Determinants of bank performance in transition countries: A data envelopment analysis, Transition Studies Review, 20, 1-17. doi: 10.1007/s11300-013-0270- x ISIK, I. AND HASSAN, M. K., (2003). Financial deregulation and total factor productivity change: An empirical study of