Journals / Sosyoekonomi / 2015 / Cilt: 23 - Sayı: 24

Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012

Pages
71–97
Publication Date
2015-04-21
DOI
—
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AI Summary & Key Takeaways

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

The Malmquist Index is used to analyze total factor productivity and its increase merely by two thousandth (0,002) for all the enterprises.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This article utilizes data envelopment analysis (DEA) in order to obtain technical efficiency and allocative efficiency scores of 23 commercial banks which operate in Turkey uninterruptedly between 2003 and 2012.
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Key Findings & Data:According to results of CCR model analysis 3 banks are not technically efficient in the first years, the number of technically inefficient banks doubles in 2012.
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Conclusion & Impact:The Malmquist Index is used to analyze total factor productivity and its increase merely by two thousandth (0,002) for all the enterprises.
🔬Design:Modeling & Simulation
📍Scope:2003 Verileri
⚙️Variables:Domain Parameters

Abstract

This article utilizes data envelopment analysis (DEA) in order to obtain technical efficiency and allocative efficiency scores of 23 commercial banks which operate in Turkey uninterruptedly between 2003 and 2012. According to results of CCR model analysis 3 banks are not technically efficient in the first years, the number of technically inefficient banks doubles in 2012. On the other hand the number of allocatively inefficient banks is only 5 in the first year and the number declines to 4 in the last year. The number of technically inefficient banks in the beginning is only one in terms of BCC model yet the number rose to 4 at the end of the study period. The relevant figure for allocative efficiency is 10 in the beginning and 16 at the end. DEA window analysis indicates that public banks with high amount of deposits tend to have higher efficiency scores while private banks have lower efficiency scores. The highest average in efficiency scores for all the banks occur in win4 to win5 (2006-’09 to 2007-’10) period. The Malmquist Index is used to analyze total factor productivity and its increase merely by two thousandth (0,002) for all the enterprises.

Özet

This article utilizes data envelopment analysis (DEA) in order to obtain technical efficiency and allocative efficiency scores of 23 commercial banks which operate in Turkey uninterruptedly between 2003 and 2012. According to results of CCR model analysis 3 banks are not technically efficient in the first years, the number of technically inefficient banks doubles in 2012. On the other hand the number of allocatively inefficient banks is only 5 in the first year and the number declines to 4 in the last year. The number of technically inefficient banks in the beginning is only one in terms of BCC model yet the number rose to 4 at the end of the study period. The relevant figure for allocative efficiency is 10 in the beginning and 16 at the end. DEA window analysis indicates that public banks with high amount of deposits tend to have higher efficiency scores while private banks have lower efficiency scores. The highest average in efficiency scores for all the banks occur in win4 to win5 (2006-’09 to 2007-’10) period. The Malmquist Index is used to analyze total factor productivity and its increase merely by two thousandth (0,002) for all the enterprises.

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Cite This Article

KUTLAR, A., KABASAKAL, A., BABACAN, A. (2015). Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012. Sosyoekonomi, Cilt: 23 - Sayı: 24, 71–97. https://ajindex.com/articles/139554

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