scholarly journals Strategi Peningkatan Efisiensi Biaya pada Bank Umum Syariah Berbasis Stochastic Frontier Approach dan Data Envelopment Analysis

2015 ◽  
Vol 17 (4) ◽  
pp. 457-480 ◽  
Author(s):  
Rafika Rahmawati
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Stochastic Frontier ◽  
Good Alternative ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Stochastic Frontier Approach ◽  
The Board Of Directors ◽  
Asean Economic Community ◽  
The Cost

Entering the ASEAN Economic Community (AEC) in 2015, the Islamic banking in Indonesia is expected to have better performance to compete sustainably with local banks and foreign. The performance of the banks using the cost efficiency approach with a focus on two inputs (cost of fund and cost of labor) and the two outputs (total financing and owned securities). Using Stochastic Frontier Approach (SFA) and Data Envelopment Analysis (DEA) on Islamic Banks during the period of January 2010 to December 2013, the result shows that the level of efficiency of the Islamic banks in Indonesia is not optimal. Our calculation shows different result for both method (SFA and DEA), where the highest efficiency levels using SFA methodis Bank Mega Syariah, while with the DEA method is Bank Muamalat Indonesia. Leaving some option of strategies to improve their cost efficiency; this includes increasing their assets, increasing deposits, and cut cost the unnecessarily cost. More strategy includes product innovation, reducing the salary of the board of directors, and put the funds in profitable portfolio. For the authorities, this paper has demonstrated the use of frontier approach as good alternative in assessing the performance of the banks.

scholarly journals Cost efficiency of the Czech and Slovak banking sectors: an application of the data envelopment analysis

2016 ◽  
Author(s):  
Iveta Palecková
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Cost Efficient ◽  
The Cost ◽  
Variable Returns To Scale

The aim of the paper is to estimate the cost efficiency of the Czech and Slovak commercial banks within the period 2010-2014. For empirical analysis the Data Envelopment Analysis input-oriented model with variable returns to scale is applied on the data of the commercial banks. The intermediation approach is adopted to define the inputs and outputs. The Czech commercial banks are more cost efficient than Slovak commercial banks. The development of average cost efficiency is similar in the Czech and Slovak banking industry. The most efficient Czech banks are Ceská sporitelna and Sberbank in the Czech banking sector, the most efficient Slovak bank is Privatbanka with 100% efficiency.

scholarly journals Bad Debt and Cost Efficiency in Vietnamese Commercial Banks

2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Direct Relationship ◽  
Data Envelopment ◽  
Dea Method ◽  
Two Stages ◽  
The Cost ◽  
The Relationship ◽  
Bad Debt

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.

scholarly journals The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models

2010 ◽  
Vol 2010 ◽  
pp. 1-20 ◽  
Author(s):  
Marcus Vinicius Pereira de Souza ◽  
Madiagne Diallo ◽  
Reinaldo Castro Souza ◽  
Tara Keshar Nanda Baidya
Keyword(s):  
Cost Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Fundamental Aspect ◽  
Data Envelopment ◽  
Electricity Distribution ◽  
Frontier Analysis ◽  
Dea Models ◽  
The Cost ◽  
Analysis Models

The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.

scholarly journals Islamic Banks vs. Conventional Banks in Bangladesh: A Comparative Study Based on its Efficiency in Operation

2020 ◽  
Vol 4 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Faisal Ahmad
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Progress ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Productivity Index ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Factor Productivity ◽  
Conventional Banks ◽  
Better Than

The main purpose of this study is to make a comparison between Islamic banks (IBs) and Conventional banks (CBs) in Bangladesh based on its efficiency in operation. The Data Envelopment Analysis (DEA) is employed under CRS and VRS approach, which allows for the decomposition of efficiency into technical, allocated and cost efficiency. The study also measures changes in productivity over the time as a result of technical progress by employing the Malmquist Total Factor Productivity Index. The results explain that the technical efficiency of IBs is better than that of CBs, but allocated and cost efficiency (CE) of IBs are higher than CBs. In Bangladesh there are 62 commercial banks included 8 Islamic Banks that are regulated by Bangladesh Bank (BB).  

A comparative approach of stochastic frontier analysis and data envelopment analysis estimators: evidence from banking system

2020 ◽  
Vol 47 (7) ◽  
pp. 1787-1810
Author(s):  
Kekoura Sakouvogui
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Data Envelopment ◽  
Content Type ◽  
Frontier Analysis ◽  
Efficiency Measures ◽  
Clustering Approach ◽  
Over Time

PurposeThe consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while accounting for the yearly variation in banks.Design/methodology/approachDue to the importance of efficiency measures for policy and managerial decision-making, the cost efficiency measures of SFA and DEA estimators are examined according to four criteria: levels, rankings, stability over time and stability over clustering groups. In this paper, we present two clustering methods, Gap Statistic and Dindex, that involve SFA and DEA cost efficiency measures. The clustering approach creates homogeneous groups of banks offering a similar mix of efficiency levels. Hence, each evaluated bank knows the cluster to which it belongs. Furthermore, this paper provides nonparametric statistical tests of SFA and DEA cost efficiency measures estimated with and without a clustering approach.FindingsThe results suggest that the clustering approach plays a considerable role in the rankings of US banks. Furthermore, the average SFA and DEA cost efficiency measures over time of the homogeneous US banks are substantially higher than those of the heterogeneous US banks.Originality/valueThis research is the first to provide comparative efficiency measures needed for desirable policy conclusions of heterogeneous and homogeneous US banks.

scholarly journals Pengukuran Kinerja Efisiensi Pérbankan Syariah: Analisis Empiris 15 Bank Syariah di Indonesia 2005-2007

2010 ◽  
Vol 10 (2) ◽  
pp. 175-191
Author(s):  
Endri Endri
Keyword(s):  
Parametric Method ◽  
Stochastic Frontier ◽  
Policy Implications ◽  
Scale Efficiency ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Stochastic Frontier Approach ◽  
Banking Deregulation ◽  
Research Period

Using the non-parametric method of Data Envelopment Analysis (DEA) and the parametric method of Stochastic Frontier Approach (SPA), this study investigates the efficiency of the Islamic Banking recent operations in Indonesia over the period 2005 to 2007. In specifying input-output variables of Islamic banks, the intermediation approach is selected as it is in line with the principle of Islamic financial system. The attributions of technical efficiency (utilization of capacity) and scale efficiency (optimality of scale achieved) are identified. The principal findings for the period under study indicated that technical and scale efficiency scores are improving but 100 percent optimal during research period. According to SFA approach, closer to 100 percent means a bank acts efficiently. Overall, the result shows that Islamic banks suffer slight inefficiencies during the period 2005-2007, and tend to be increasing. The study has several important policy implications to offer, one of which is that it could be taken as a guideline for the Indonesian government to chart a policy on banking deregulation and mergers. Moreover, the study provides some information and identifies the sourceof inefficiency, vyhich could, in turn, be used to assist banks’ managements to overcome the problems of inefficiency.

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