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Information Journal Paper

Title

ESTIMATION OF THE COST EFFICIENCY OF THE BRANCHES OF TEJARAT BANK IN ISFAHAN PROVINCE AND ITS AFFECTIVE FACTORS

Pages

  105-134

Abstract

 Regarding the basic role of bank systems in economy of countries, the EFFICIENCY of the banking industry has always been at the center of statesmen's attention, and the establishing an efficient network of bank branches is reckoned as one of the main methods for providing EFFICIENCY optimization plans at bank level. Based on this, the present paper deals with the estimation of cost EFFICIENCY in 128 Branches of TEJARAT BANK in Isfahan Province within 2007-2009, with the study of the affective factors of the above mentioned branches cost EFFICIENCY using the stochastic frontier analysis, Translog cost function and Maximum Likelihood method. The model used in this research is the inEFFICIENCY model of Battese and Coelli (1995). The statistic results from data fitting show that average cost EFFICIENCY of the Branches of TEJARAT BANK in Isfahan Province in the period under study was 87.61%. Also, cost EFFICIENCY seems to be directly related to the ratios of the facilities granted to total asset and pre-tax profits to total assets and reversely related to the ratios of cash assets to total assets and long-term deposits to total deposits of the braches.

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    Cite

    APA: Copy

    RANJBAR, H., FOROUTAN, F., & RAJABI, M.. (2009). ESTIMATION OF THE COST EFFICIENCY OF THE BRANCHES OF TEJARAT BANK IN ISFAHAN PROVINCE AND ITS AFFECTIVE FACTORS. ECONOMIC MODELLING, 3(3 (9)), 105-134. SID. https://sid.ir/paper/176337/en

    Vancouver: Copy

    RANJBAR H., FOROUTAN F., RAJABI M.. ESTIMATION OF THE COST EFFICIENCY OF THE BRANCHES OF TEJARAT BANK IN ISFAHAN PROVINCE AND ITS AFFECTIVE FACTORS. ECONOMIC MODELLING[Internet]. 2009;3(3 (9)):105-134. Available from: https://sid.ir/paper/176337/en

    IEEE: Copy

    H. RANJBAR, F. FOROUTAN, and M. RAJABI, “ESTIMATION OF THE COST EFFICIENCY OF THE BRANCHES OF TEJARAT BANK IN ISFAHAN PROVINCE AND ITS AFFECTIVE FACTORS,” ECONOMIC MODELLING, vol. 3, no. 3 (9), pp. 105–134, 2009, [Online]. Available: https://sid.ir/paper/176337/en

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