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How to Choose a Nonparametric Frontier Model? Technical Efficiency of Turkish Banks Assessing Global

机译:如何选择非参数前沿模型?土耳其银行的技术效率评估全球

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摘要

This article aims to address current gaps in the literature on banking efficiency using the data envelopment analysis (DEA) model. The study assesses the technical efficiency of the Turkish banking sector in the period spanning from 1990 to 2010 in-line with DEA model. In comparison with the DEA model, the CCR model (developed by Charnes, Cooper & Rhodes, European Journal of Operational Research, 1978, 2(6): 429-444) does not need model assumptions on input/output orientation. It also avoids the dilemma about the choice of input/output indicators. The comparison analysis of this study reveals that the CCR model yields more significant efficiency results than the BCC model (developed by Banker, Charnes & Cooper, Management Science, 1984, 30(9): 1078-1092). This study provides important contribution to the current empirical research on banking efficiency. The empirical results of the study reveal a steady increase in global efficiency of the Turkish banking sector over the past two decades. The future research could focus on the behavioural aspects of bank efficiency (e.g., managerial practices). The study also offers managerial implications.
机译:本文旨在使用数据包络分析(DEA)模型来解决文献中的当前差距。该研究评估了在1990年至2010年跨越DEA模型的时间内跨越土耳其银行业的技术效率。与DEA模型相比,CCR模型(由Charner,Cooper&Rhodes开发,欧洲运营研究,1978,2(6):429-444)不需要对输入/输出方向上的模型假设。它还避免了关于输入/输出指示灯的选择的困境。本研究的比较分析表明,CCR模型产生的效率比BCC模型更大(由银行,夏尔通和库纳,管理科学,1984,30(9):1078-1092)开发。本研究为对银行效率的当前实证研究提供了重要贡献。该研究的经验结果揭示了过去二十年土耳其银行业全球效率稳步增加。未来的研究可以专注于银行效率的行为方面(例如,管理实践)。该研究还提供管理含义。

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