scholarly journals Analysis of Technical Efficiency of Indian Banking Sector: An Application of Data Envelopment Analysis

2016 ◽  
Vol 3 (1) ◽  
pp. 150
Author(s):  
Dipayan Roy
Keyword(s):  
Data Envelopment Analysis ◽  
Business Strategy ◽  
Banking Sector ◽  
Data Envelopment ◽  
Continuous Change ◽  
Ownership Structures ◽  
Banking Regulations ◽  
Reserve Bank ◽  
Using Data ◽  
Reserve Bank Of India

<p>The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.</p>

scholarly journals Analysis of Technical Efficiency of Indian Banking Sector

2014 ◽  
Vol 3 (1) ◽  
pp. 150-160
Author(s):  
Dipayan Roy
Keyword(s):  
Capital Structure ◽  
Business Strategy ◽  
Banking Sector ◽  
Data Envelopment ◽  
Continuous Change ◽  
Ownership Structures ◽  
Banking Regulations ◽  
Reserve Bank ◽  
Using Data ◽  
Reserve Bank Of India

The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.

Exploring the effect of online banking on bank performance using data envelopment analysis

2019 ◽  
Vol 27 (1) ◽  
pp. 137-165 ◽  
Author(s):  
Kwame Owusu Kwateng ◽  
Edna Edwina Osei-Wusu ◽  
Kofi Amanor
Keyword(s):  
Data Envelopment Analysis ◽  
Banking Sector ◽  
Principal Component ◽  
Internet Banking ◽  
Bank Performance ◽  
Data Envelopment ◽  
Content Type ◽  
Banking Service ◽  
Using Data ◽  
And Cluster Analysis

Purpose Increased competition in the banking sector coupled with long queues in the banking hall has necessitated the introduction of internet banking among banks in Ghana. As a result, internet banking has attracted a great deal of attention from both academicians and practitioners. The purpose of this paper is to examine the effect of internet banking on the performance of banking institutions in Ghana. Design/methodology/approach In total, 20 banks in Ghana were selected from the Bank of Ghana website for the study. The financial information about the banks’ operations was retrieved from the financial statements of the respective banks for the end of the year 2016. The data envelopment analysis-bootstrap approach with principal component analysis and cluster analysis was used to estimate 49 models. Findings The findings of the study indicated that the integration of internet banking into traditional banking methods has led to superior bank performance in Ghana. It was observed that while the independent application of internet banking as a strategy to raise performance was not yielding higher returns due to the low patronage of internet services among banking consumers, its integration with possible traditional methods is widely observed among the top performers in the banking industry. Practical implications Traditional banking methods, integrated banking service strategies and the internet banking service-oriented strategy emerged as the main banking strategies among the banks. Originality/value Extant literature is quite silent on the effect of internet banking on bank performance in Africa. However, this paper is among the first significant attempts to examine the effect of internet banking on bank performance.

scholarly journals The Efficiency of Islamic Banks and Conventional Banks in Indonesia Using Data Envelopment Analysis Approach

2021 ◽  
Vol 58 (1) ◽  
pp. 375-381
Author(s):  
Retno Fitrianti, Sri Undai Nurbayani
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Banking Sector ◽  
Financial Institution ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Sample Technique ◽  
Using Data ◽  
Conventional Banks

Banking sector mediation is related to efficiency in economic performance. As a financial institution, banks need to maintain their performance in order to operate optimally, one factor that must be considered is efficiency in performance. This research aimed to analyze the efficiency of Islamic Banks and Conventional Commercial Bank in Indonesia. Using a purposive sample technique for two Islamic banks and two commercial banks. Fixed assets, deposits, and other operating expenses as input variablesused, while credit as output variable.  Using Data Envelopment Analysis to calculate the efficiency of banking. The results show that all Sharia Commercial Bank samples reached efficiency level 1 was efficient. Besides, the sample of conventional commercial banks used in this study is not all efficient. This is due to one of the sample banks having an efficiency level below one, which is 0.644. It means that conventional bank groups are inefficient.

Mergers and Efficiency Gains: A Case of Indian Banks

2019 ◽  
Vol 9 (9) ◽  
pp. 230-237 ◽  
Author(s):  
Neeraj Kumar ◽  
Satish Chandra Tiwari ◽  
Pooja Choudhary
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Data Envelopment ◽  
Efficiency Gains ◽  
Reserve Bank ◽  
Major Merger ◽  
Market Driven ◽  
Indian Banks ◽  
Reserve Bank Of India

This paper reflects an attempt to measure the effect of mergers on efficiency of banks in India. Five major merger cases in India during 2000 to 2005 were examined to measure the pre- and post-merger efficiency to achieve the purpose of this study. Secondary data were obtained from bulletins and reports of the Reserve Bank of India (RBI) and Data Envelopment Analysis (DEA) was employed to calculate efficiency. The study found efficiency gains in four merger cases except the merger of the Oriental Bank of Commerce with the Global Trust Bank. The findings of the study suggest that market driven mergers boost and forced mergers lead to a decline in the efficiency of banks.

scholarly journals ANALISIS EFISIENSI BANK PEMBIAYAAN RAKYAT SYARIAH (BPRS) DI JAWA TIMUR MENGGUNAKAN DATA ENVELOPMENT ANALYSIS (DEA) PERIODE 2012-2018

2020 ◽  
Vol 7 (2) ◽  
pp. 294
Author(s):  
Nafilatul Khusnah ◽  
Irham Zaki ◽  
Lina Nugraha Rani
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Banking Sector ◽  
Performance Data ◽  
Maximum Output ◽  
Data Envelopment ◽  
Fixed Assets ◽  
Efficiency Performance ◽  
Efficient Level ◽  
Using Data

Efficiency is needed by Islamic Rural Bank (BPRS)to facing rivalry in the banking sector. Efficiency can show the performance of BPRS and make BPRS more productive. This study measures the efficiency of Islamic Rural Banks (BPRS) in East Jawa using data envelopment analysis (DEA). DEA is a non-parametric and deterministic methodology for determining relative efficiency. This study used the intermediation approach and output orientation to measure the efficiency of BPRS. Inputs in this study are deposits, labor, and fixed assets. Outputs in this study are financing and other income. The result shows that the inefficiency exists in the BPRS in East Java. From 21 BPRS, which were used as a sample, 17 BPRS are not efficient technically. The inefficiency of BPRS causes BPRS still can not manage its inputs optimally to producing maximum output. To achieve an efficient level, BPRS needs to increase its output and reduce its input.Keywords: Islamic Rural Banks (BPRS), Efficiency, Performance, Data Envelopment Analysis (DEA)

scholarly journals IS THE EFFICIENCY OF BANKS DEGENERATING DUE TO THE MOUNTING OF NON-PERFORMING ASSETS? AN EMPIRICAL INVESTIGATION USING DEA

2020 ◽  
Author(s):  
Sudarshan Maity ◽  
Tarak Nath Sahu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Banking Sector ◽  
Empirical Investigation ◽  
Banking System ◽  
Data Envelopment ◽  
Upward Trend ◽  
Using Data ◽  
Asset Quality ◽  
Ccr Model

Indian banking system is saddled with bad loans which have resulted in huge losses. Profitability remains a concern due to the rise of NPAs. Investors should not expect high reporting profits from banks due to the ascending provision of the NPAs. Banks are not performing well and they may not be much efficient due to the rise of NPAs daily. Using data envelopment analysis, the present study intends to assess technical efficiency of banks. As the requirement of homogeneity is fulfilled, the input oriented CCR model is applied. The study finds that the number of efficient banks has shortened and the average overall technical efficiency of selected banks moves downward throughout the study period. It also reveals that the inefficiency is mostly due to the upward trend of NPAs. Asset quality plays the most crucial role toward the performance of banking sector. Thus, banks and regulators should control the upward trend of NPAs to enhance the efficiency level.  

scholarly journals Revisiting the Efficiency of Indian Banking Sector: An Analysis of Comparative Models Through Data Envelopment Analysis

2020 ◽  
Vol 4 (1) ◽  
pp. 92-108 ◽  
Author(s):  
Jyoti Tanwar ◽  
Himanshu Seth ◽  
Arun Kumar Vaish ◽  
N V M Rao
Keyword(s):  
Data Envelopment Analysis ◽  
Banking Sector ◽  
Foreign Banks ◽  
Data Envelopment ◽  
Internal Factors ◽  
After Effects ◽  
Comparative Efficiency ◽  
Using Data ◽  
Indian Banks ◽  
Public Banks

This study examines the efficiency of the overall Indian banking industry using Data Envelopment Analysis (DEA) and to perform a comparative efficiency analysis of public, private, and foreign banks using six varied forms. Also, providing ranks to the banks based on their efficiency. The study incorporates BCC output-oriented DEA model using a sample of 50 Indian banks (public banks = 17, private banks = 18, foreign banks = 15) for a period ranging from 2009-10 to 2018-19, hence incorporating the after-effects of the financial crisis and demonetization, this study uses panel data from 2009-10 to 2018-19. The results showed that most of the Indian banks fall on the efficient side or are near to full efficiency. However, public banks outperform private and foreign banks in terms of their average efficiency. Results also specify that the performance of banks is sensitive to input-output variables, units under evaluation, and choice of the model. The current study has just focused on the internal factors for analyzing the efficiency of Indian banks; however, certain external factors might also impact the banks’ efficiency.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

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