A Fully Fuzzy DEA Approach for Cost and Revenue Efficiency Measurements in the Presence of Undesirable Outputs and Its Application to the Banking Sector in India

2015 ◽  
Vol 18 (2) ◽  
pp. 212-226 ◽  
Author(s):  
Jolly Puri ◽  
Shiv Prasad Yadav
Keyword(s):  
Banking Sector ◽  
Undesirable Outputs ◽  
Dea Approach ◽  
Fully Fuzzy Dea ◽  
Revenue Efficiency ◽  
Fuzzy Dea

scholarly journals Efficiencya Assessment and Target Setting Using a Fully Fuzzy DEA Approach

2020 ◽  
Vol 22 (4) ◽  
pp. 1056-1072 ◽  
Author(s):  
Manuel Arana-Jiménez ◽  
M. Carmen Sánchez-Gil ◽  
Sebastián Lozano
Keyword(s):  
Target Setting ◽  
Dea Approach ◽  
Fully Fuzzy Dea ◽  
Fuzzy Dea

scholarly journals Data Envelopment Analysis (DEA) Approach for the Jordanian Banking Sector's Performance

2016 ◽  
Vol 10 (5) ◽  
pp. 170
Author(s):  
Imad Zeyad Ramadan
Keyword(s):  
Banking Sector ◽  
Foreign Banks ◽  
Data Envelopment ◽  
Net Income ◽  
Efficiency Ratio ◽  
Mortgage Crisis ◽  
Investment Opportunities ◽  
Reservation Policy ◽  
Dea Approach ◽  
Main Activity

<p class="zhengwen">This study sought to evaluate the performance of banks in the Jordanian banking sector, where DEA approach has been used for a sample of banks operating in Jordan amounted to 16 banks (10 Jordanian banks and 6 foreign banks operating in Jordan) during 2014 and by using the variables: Deposits and liabilities<strong>,</strong> Total expenses<strong> </strong>and Dedicated asset as main inputs for banks and which represent the main activity of banks, and the variables : Credit facilities<strong> </strong>and Net Income<strong> </strong>as outputs of the banks using the statistical software SIAD.</p>The current study has concluded that all banks operating in Jordan have a surplus in resources untapped optimally and over the investment opportunities available to these banks, and the reason beyond this may be due to the reservation policy of banks, especially after the mortgage crisis suffered by these banks. The study has also concluded that foreign banks operating in Jordan have achieved efficiency ratio more than the Jordanian banks, and this can be attributed to the financing experience of foreign banks’ managements and their international spread which is more than the Jordanian banks’.

A fuzzy DEA approach

2005 ◽  
pp. 393-399 ◽  
Author(s):  
Elmar Reucher ◽  
Wilhelm Rödder
Keyword(s):  
Dea Approach ◽  
Fuzzy Dea

Do Digital and Communication Technologies Improve Smart Ports? A Fuzzy DEA Approach

2019 ◽  
Vol 15 (10) ◽  
pp. 5674-5681
Author(s):  
Rosalia Castellano ◽  
Ugo Fiore ◽  
Gaetano Musella ◽  
Francesca Perla ◽  
Gennaro Punzo ◽  
...  
Keyword(s):  
Communication Technologies ◽  
Dea Approach ◽  
Fuzzy Dea ◽  
Smart Ports

scholarly journals A Study of the Determinants of Cost and Revenue Efficiency in the Context of Islamic and Conventional Banks: The Case of Malaysia from 2006 to 2012

2016 ◽  
Vol 8 (7) ◽  
pp. 258
Author(s):  
Mohamed Ghroubi ◽  
Ezzeddine Abaoub
Keyword(s):  
Banking Sector ◽  
Generalized Least Squares ◽  
Decision Makers ◽  
Second Step ◽  
Islamic Banks ◽  
Regulatory Capital ◽  
Political Decision ◽  
Independent Variables ◽  
Conventional Banks ◽  
Revenue Efficiency

<p>In this paper, we examine the determinants of cost and revenue efficiency of Malaysian banks over the period 2006-2012. Three steps are undertaken to study a sample of 17 Islamic banks (IBs) and 20 conventional banks (CBs). In the first step, we assessed the competitiveness of the Malaysian banking sector. After solving the multicollinearity problem, as a second step, we selected three sets of independent variables: bank-specific, industry-specific and macroeconomic variables. In the last step, we estimated the efficiency models with the Feasible Generalized Least Squares (FGLS) method. The obtained results highlighted the importance of regulatory capital and size. As for the effect of competitiveness, it is found to be statistically significant only for revenue efficiency. These results may be useful to political decision-makers and regulatory authorities.</p>

scholarly journals Fuzzy data envelopment analysis in the presence of undesirable outputs with ideal points

2020 ◽  
Author(s):  
Ali Ebrahimnejad ◽  
Naser Amani
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
New Approach ◽  
Novel Approach ◽  
Fuzzy Data Envelopment Analysis ◽  
Relative Closeness ◽  
Fuzzy Ideal ◽  
Ideal Points ◽  
Fuzzy Dea

Abstract Data envelopment analysis (DEA) is a prominent technique for evaluating relative efficiency of a set of entities called decision making units (DMUs) with homogeneous structures. In order to implement a comprehensive assessment, undesirable factors should be included in the efficiency analysis. The present study endeavors to propose a novel approach for solving DEA model in the presence of undesirable outputs in which all input/output data are represented by triangular fuzzy numbers. To this end, two virtual fuzzy DMUs called fuzzy ideal DMU (FIDMU) and fuzzy anti-ideal DMU (FADMU) are introduced into proposed fuzzy DEA framework. Then, a lexicographic approach is used to find the best and the worst fuzzy efficiencies of FIDMU and FADMU, respectively. Moreover, the resulting fuzzy efficiencies are used to measure the best and worst fuzzy relative efficiencies of DMUs to construct a fuzzy relative closeness index. To address the overall assessment, a new approach is proposed for ranking fuzzy relative closeness indexes based on which the DMUs are ranked. The developed framework greatly reduces the complexity of computation compared with commonly used existing methods in the literature. To validate the proposed methodology and proposed ranking method, a numerical example is illustrated and compared the results with an existing approach.

Revenue efficiency analysis of scheduled commercial banks in a dynamic environment

2015 ◽  
Vol 8 (2) ◽  
pp. 184-210 ◽  
Author(s):  
Aparna Bhatia ◽  
Megha Mahendru
Keyword(s):  
Commercial Banks ◽  
Banking Sector ◽  
Allocative Efficiency ◽  
Empirical Work ◽  
Dynamic Environment ◽  
Specific Reference ◽  
Content Type ◽  
Customer Base ◽  
Public Sector Banks ◽  
Revenue Efficiency

Purpose – The paper aims to analyze the revenue efficiency (RE) of Scheduled Commercial Banks in India. The study also determines the nature of Return to Scale (RTS) of banks and thereby identifies the leaders and laggards in the Indian Banking Sector. Design/methodology/approach – RE of banks is calculated by using the non-parametric approach, namely, data envelopment analysis. Further, the efficiency scores are decomposed into technical and allocative efficiency. Findings – Public Sector Banks have higher RE as compared to their counterparts in private and foreign sectors. The choice of operating on incorrect scale is identified as the primary reason of inefficiency. It is suggested that banks should expand their business by opening new branches and also try to increase their customer base. Overall, it is seen that trends in RE are somewhat affected by the dynamism in the environment along with the bank-specific factors. Originality/value – With specific reference to India, less empirical work has been carried out with respect to RE. None of the studies has identified that revenue inefficiency is caused either by mispricing of outputs or giving wrong choice of outputs.

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