Measuring cost efficiency in banking

Ferrier, Gary D.; Lovell, C. A. Knox

doi:10.1016/0304-4076(90)90057-z

Cited by 730 publications

(69 citation statements)

References 16 publications

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“…Every respondent describes his judgment about the innovation degree in his bank by the following linguistic terms; Not at all satisfied, unsatisfied, moderately satisfied, satisfied, and very satisfied. These linguistic expressions were converted into fuzzy numbers as (3,4,5), (6,7,8), (9,10,11), (12,13,14) and (15,16,17), respectively. In order to establish the imprecise value of the innovation level for each bank, we used the following aggregation function.…”

Section: Used Datamentioning

confidence: 99%

Assessing the Efficiency of commercial Tunisian Banks using Fuzzy Data Envelopment Analysis

Tlig¹,

Hamed²

2017

Data Envelopment Analysis and Decision Science

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The banking sector is of great importance to Tunisian's economy. Major commercial banks continue to spend high proportion of their budgets on new technologies and innovation in order to satisfy their customers and enhance their competitiveness. Consequently, performance analysis has become part of their management practices.This paper aims to evaluate the efficiency of commercial Tunisian banks in terms of several crisp and imprecise data. Two approaches of fuzzy data envelopment analysis (FDEA), the possibility approach and the approach based on relations between fuzzy numbers (BRONF), are used to obtain the efficiency score of each bank. The results show that, in a competitive environment, no-financial inputs and outputs should be taken into account in order to obtain credible and realistic efficiency scores.

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Section: Used Datamentioning

confidence: 99%

Assessing the Efficiency of commercial Tunisian Banks using Fuzzy Data Envelopment Analysis

Tlig¹,

Hamed²

2017

Data Envelopment Analysis and Decision Science

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“…This cost was quite considerable in existing contracts and affected the economic efficiency score. The maintenance and depreciation costs were calculated for devices that were less than 10 years old [8].…”

Section: Methodsmentioning

confidence: 99%

Economic efficiency of radiology wards using data envelopment analysis: Case study of Iran

Keshtkaran¹,

Barouni²,

Ravangard³

et al. 2014

Health

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Background: In evaluating the activities and performance of radiology units, the main aim of applying feasible scientific methods is to use technological and human resources optimally. One of the suitable scientific methods in this field is determining the technical, economic, and allocative efficacy of these centers. We aimed to assess the economic efficiency of radiology units of hospitals affiliated to Shiraz University of Medical Sciences, southern Iran. Methods: In this descriptive-analytical cross-sectional study, the technical, economical, and allocative efficiency of 27 radiology units of public hospitals was assessed using data envelopment analysis. The input oriented envelopment form with the assumption of the varied outputs with respect to the scale was used. Related forms were filled using the existing information in the archives of radiology centers. Input variables in this study were the number of radiology devices, the number of expert personnel, the number of technicians, equipment maintenance and depreciation costs, and the salaries of the experts and technician. Output variables included the number of admitted patients and the number of photographic film. Then, data were analyzed using the DEAP software for calculating the various forms of efficiency. Results: The mean scores of economic, technical, and allocative efficiencies of radiology units were 0.749, 0.880, and 0.852, respectively. The final score of economical efficiency was lower than the technical and allocative efficiency scores. Only 15% of radiology units were economically efficient. Conclusion: Economical efficiency can be attained when resources are used in the best possible way and not wasted. Therefore, a combination of inputs that comprise the lowest costs should be selected.

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“…Many authors used this technique as a proxy of measuring efficiency. Ferrier and Lovell (1990), Drugger (1974), Parkan (1987), Sherman (1984) and Sherman and Gold (1985), use linear programming for the banking system. Also, Charnes, Cooper, Sun and Huan (1990) used the same techniques to analyze the operation of large banks.…”

Section: Methodsmentioning

confidence: 99%

“…Cost and Profit Efficiency). For Ferrier and Lovell (1990), linear programming can envelop better the data than the translog of stochastic methods. These authors found that the ranking of efficiency scores for linear programming and stochastic methods are positive correlated.…”

Section: Methodsmentioning

confidence: 99%

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A Lesson to Learn From Developed Countries: The Case of State Branching Deregulation in the Us

Guillén

2009

Estudios de Economía

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Measuring cost efficiency in banking

Cited by 730 publications

References 16 publications

Assessing the Efficiency of commercial Tunisian Banks using Fuzzy Data Envelopment Analysis

Assessing the Efficiency of commercial Tunisian Banks using Fuzzy Data Envelopment Analysis

Economic efficiency of radiology wards using data envelopment analysis: Case study of Iran

A Lesson to Learn From Developed Countries: The Case of State Branching Deregulation in the Us

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