scholarly journals EFFICIENT COMPARISON OF THE TOP 10 LARGEST COMMERCIAL BANKS IN INDONESIA: DEA (DATA ENVELOPMENT ANALYSIS)

2021 ◽  
Vol 11 (3) ◽  
pp. 427
Author(s):  
Ari Christianti
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Banking Industry ◽  
Maximum Efficiency ◽  
Data Envelopment ◽  
Labor Costs ◽  
Banking Efficiency ◽  
Parametric Data ◽  
Fixed Assets ◽  
Using Data

Banking efficiency is very important in supporting the success of macro policies specifically, maintaining the sustainability of development that affects economic growth and social welfare. This study discusses the efficiency of commercial banks for the 2015-2019 period using data from the 10 largest commercial banks in Indonesia. The methodology used is non-parametric, Data Envelopment Analysis, to analyze technical efficiency. The results showed that 7 banks had a maximum efficiency level consistently during the study period and there were still 3 banks that did not reach the maximum efficiency but during certain periods or periods. Based on the results of the DEA, inefficient banks in a certain period can achieve maximum efficiency by reducing inputs such as labor costs, net fixed assets, and the number of deposits. This might be attributed that the competition in the banking industry and because not all inputs could be controlled by management, some large banks cannot maintain their level of efficiency consistently.

scholarly journals Performance of supermarkets in Santa Catarina: an analysis of small and medium-sized units

2020 ◽  
Vol 27 (4) ◽  
Author(s):  
Julio Cesar Araujo Silva Junior ◽  
Douglas Nodari ◽  
Mariana de Oliveira Cavalheiro ◽  
Fernanda Gomes Victor
Keyword(s):  
Data Envelopment Analysis ◽  
Third Sector ◽  
Individual Performance ◽  
Maximum Efficiency ◽  
Data Envelopment ◽  
Santa Catarina ◽  
The Third ◽  
Strong Competition ◽  
Using Data ◽  
Relevant Finding

Abstract: The retail supermarket sector is one of the most important in the third sector. Besides being one of that most generates direct and indirect jobs, it is one of the first to capture changes in consumer behavior. Given the strong competition and constant evolution of the sector, it is necessary to improve techniques for individual performance measurement of the networks and the construction of parameters of relative comparison between the units. The aim of this article is to analyze the efficiency of a 31 supermarkets sample in Santa Catarina, using Data Envelopment Analysis (DEA). The variables used in the investigation were gross sales, the number of employees, sales area and number of checkout's in the period of 2014 and 2015. The results pointed out a low percentage of units at maximum efficiency for the two periods analyzed. Another relevant finding was that the variables that presented a mismatch to reach the maximum efficiency of the units was the “Sales area (m2)” and “number of employees“, suggesting the existence of idle structure capacity.

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.

Modeling Efficiency Performance of Malaysian Commercial Banks Using Data Envelopment Analysis

2018 ◽  
Vol 24 (6) ◽  
pp. 4612-4618
Author(s):  
Norsyuhada Johan ◽  
Zalina Zahid ◽  
Siti Aida Sheikh Hussin
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Data Envelopment ◽  
Efficiency Performance ◽  
Using Data

scholarly journals Loan efficiency in the Visegrad countries

2015 ◽  
Vol 65 (s1) ◽  
pp. 161-181 ◽  
Author(s):  
Kristína Kočišová
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Markets ◽  
Commercial Banks ◽  
Capital Adequacy ◽  
Data Envelopment ◽  
Average Efficiency ◽  
The Past ◽  
Lending Decisions ◽  
Using Data ◽  
Visegrád Countries

Financial markets in the Visegrad countries have undergone several changes in lending business over the past decade. This study evaluates the efficiency of the largest commercial banks by focusing on their lending decisions using Data Envelopment Analysis. First, we define the concept of efficiency, then we analyse loan efficiency between 2007 and 2013. The results indicate that average efficiency declined. When we studied the loan efficiency in each country separately, we found that Hungarian banks had the lowest efficiency while the highest efficiency was achieved mainly by Czech banks. The results of the study also suggest that efficiency is positively related to profitability and capital adequacy, and negatively related to the share of non-performing loans, which confirms the bad management hypothesis.

scholarly journals The Efficiency Analysis of Domestic and Foreign Commercial Banks of Pakistan: The Data Envelopment Analysis Approach

2019 ◽  
Vol IV (III) ◽  
pp. 375-382
Author(s):  
Farhat Ullah Khan ◽  
Aziz Javed ◽  
Khalid Rehman
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Efficiency Analysis ◽  
Analysis Approach ◽  
Data Envelopment ◽  
Significant Information ◽  
Public And Private ◽  
Efficiency Measures ◽  
Fixed Assets

The aim of the present study is to investigate the efficiency of domestic and foreign commercial banks of Pakistan over the period from the year 2009 to 2013 through the DEA technique (Data envelopment analysis). DEA estimates efficiency by the ratio of inputs (multiple) to outputs (multiple). For this purpose, the number of employees, deposits and fixed assets were used as inputs while Advances and Investments were taken as the outputs based on the intermediation approach. Two generic forms of DEA explicitly CCR and BCC were applied to work out technical and pure-technical efficiencies, respectively. Results offered significant information to make the decision about the efficiency of commercial banks. The study outcomes showed that foreign owned banks performed better against public and private owned banks in respect of all the efficiency measures throughout the period of study.

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