@ARTICLE{26543120_43987819_2011, 
	author = {Y. Çınar}, 
	keywords = {, efficiency, Turkish banking sector, Data Envelopment Window Analysiscluster analysis},
	title = {Efficiency Dynamics and Structural Characteristics of the Largest Commercial Banks in Turkey},
	journal = {Экономический журнал ВШЭ},
	year = {2011},
	volume = {15},
	number = {3},
	pages = {315-335},
	url = {https://ej.hse.ru/2011-15-3/43987819.html},
	publisher = {},
	abstract = {Recent developments in Turkish economy have forced banks to account for expenses and loan losses while increasing their loan supply to become more profitable. In this context, this study evaluates the efficiency dynamics of the largest Turkish commercial banks, by focusing on their lending decisions and profit generating behaviors. Clustering methodology is used for grouping banks in terms of structural similarities. DEA Window Analysis method is applied in efficiency analyses. The results mainly indicate that, efficiency level in the sector improved during the study period in general. It was not dramatically affected by the global crisis (in 2008), as well. Individually, banks exhibit different efficiency patterns relative to each other. Foreign banks outperform the others with respect to the efficiency models including only interest expenses and revenues. However, large-scale Turkish banks improve their efficiencies, when we consider non-interest returns in addition to interest gains. This conclusion implies that, non-interest revenues earned from diversified financial services have a crucial role in bank management. Results also show that, risk-taking behavior was more beneficial than conservative strategies in our analysis period.},
	annote = {Recent developments in Turkish economy have forced banks to account for expenses and loan losses while increasing their loan supply to become more profitable. In this context, this study evaluates the efficiency dynamics of the largest Turkish commercial banks, by focusing on their lending decisions and profit generating behaviors. Clustering methodology is used for grouping banks in terms of structural similarities. DEA Window Analysis method is applied in efficiency analyses. The results mainly indicate that, efficiency level in the sector improved during the study period in general. It was not dramatically affected by the global crisis (in 2008), as well. Individually, banks exhibit different efficiency patterns relative to each other. Foreign banks outperform the others with respect to the efficiency models including only interest expenses and revenues. However, large-scale Turkish banks improve their efficiencies, when we consider non-interest returns in addition to interest gains. This conclusion implies that, non-interest revenues earned from diversified financial services have a crucial role in bank management. Results also show that, risk-taking behavior was more beneficial than conservative strategies in our analysis period.}
}