scholarly journals BANKS EFFICIENCY, OWNERSHIP TYPE AND LISTING STATUS IN GULF COOPERATION COUNCIL COUNTRIES: A CROSS-COUNTRIES ANALYSIS

2021 ◽  
pp. 309-319
Keyword(s):  
Data Envelopment ◽  
Islamic Banks ◽  
Tobit Regression ◽  
Ownership Type ◽  
Second Stage ◽  
Gcc Countries ◽  
Using Data ◽  
Tobit Regression Analysis ◽  
Conventional Banks ◽  
The Impact

Using data from 2005-2013, this paper analyzes banks efficiency across the GCC countries. This study examines the efficiency of GCC conventional and Islamic banks across the GCC countries while considering the impact of ownership type and listing status on banks efficiency by employing the Data Envelopment Analysis (DEA) and a second stage Tobit regression analysis with bootstrapping. It is found that GCC conventional banks are by far more efficient than GCC Islamic banks and this conclusion holds across all GCC countries. It is also found that GCC state-owned banks outperform the GCC private-owned banks in general and across all GCC countries; and interestingly, GCC listed banks were less efficient than GCC unlisted banks. More, the main source of inefficiency in GCC banks was the scale inefficiency and GCC banks exhibited a decreasing return to scale. Therefore, GCC policymakers and regulators should not support any expansionary strategy in their banking industry.

scholarly journals An Analysis of Revenue Maximising Efficiency of Public Sector Banks in the Post-Reforms Period

2017 ◽  
Vol 6 (1) ◽  
pp. 111-125 ◽  
Author(s):  
Ombir Singh ◽  
Sanjeev Bansal
Keyword(s):  
Regression Analysis ◽  
Public Sector ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Public Sector Banks ◽  
Using Data ◽  
Tobit Regression Analysis ◽  
The Impact

Abstract The paper investigates and compares the performance of the Indian public sector banks (PSBs) based on revenue maximising efficiency in the deregulation period from 2001-02 to 2012-13. Several efficiency estimates viz., overall technical efficiency, pure technical efficiency and scale efficiency of individual banks are calculated using Data Envelopment Analysis (DEA). The empirical findings indicate the presence of managerial and scale inefficiencies in the operation of the most of the PSBs. Applying the Tobit regression analysis, the paper also assesses the impact of different environmental factors, like profitability, the level of non-performing assets, size etc. on the efficiency of PSBs. It is observed that banks with high profitability, low level of non-performing assets, and relatively larger size are more technically efficient.

Labour-use Efficiency of Assam Gramin Vikash Bank: Branch- and District-level Analysis

2021 ◽  
pp. 232102222110243
Author(s):  
Mohuya Deb Purkayastha ◽  
Joyeeta Deb ◽  
Ram Pratap Sinha
Keyword(s):  
Efficiency Score ◽  
Significant Variable ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Second Stage ◽  
Time Period ◽  
Use Efficiency ◽  
The Mean ◽  
The Impact ◽  
Observation Period

The present study estimated labour-use efficiency of 48 branches of Assam Gramin Vikash Bank at its branch level, covering three districts of Barak Valley, which falls under Silchar region of the bank for the time period from 2010–2011 to 2017–2018. The study applied data envelopment analysis for estimating labour-use efficiency. In the second stage, the study applied censored Tobit regression for determining the impact of several contextual variables on efficiency. The study reveals that the mean labour-use efficiency score of the selected branches is 76% when averaged for the in-sample branches over the observation period. Results of the Tobit regression identified cluster 2 and total business of the branches as the significant factors for determining efficiency and the number of employees as a significant variable influencing inefficiency. JEL Classifications: G2, G20, G21, J3

Fair value and banking contagion

2016 ◽  
Vol 7 (3) ◽  
pp. 215-236 ◽  
Author(s):  
Leila Gharbi ◽  
Halioui Khamoussi
Keyword(s):  
Data Model ◽  
Banking Sector ◽  
Fair Value ◽  
Islamic Banks ◽  
Fair Value Accounting ◽  
Content Type ◽  
Gcc Countries ◽  
Conventional Banks ◽  
Value Changes ◽  
The Impact

Purpose This paper aims to explore empirically the impact of fair value accounting on banking contagion in a comparative context between Islamic banks and conventional banks. Design/methodology/approach The analysis of the impact of fair value changes on banking contagion is carried out through a panel data model. This study covers 20 Islamic banks and 40 conventional banks operating in the Gulf Cooperation Council (GCC) countries during nine years from 2003 to 2011. Findings Empirical evidence shows that there is a significant change in dynamic volatility in GCC banking sector because of financial crisis 2008. However, results fail to confirm the hypothesis that fair value accounting is significantly associated with an increase of banking contagion for both Islamic and conventional banks operating in GCC countries. Originality/value The outcome of this study provides some insights for academicians, accountants as well as regulators in terms of enhancing the effectiveness of accounting practices.

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.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2018 ◽  
Vol 20 (3) ◽  
pp. 352
Author(s):  
Mohammad Nur Hadi, Hermanto Siregar, Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency . DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. And for the second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2017 ◽  
Vol 20 (1) ◽  
pp. 72
Author(s):  
Mohamad Nur Hadi ◽  
Hermanto Siregar ◽  
Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency. DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to 1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. DEA results also show that the Department of gain increasing and decreasing on the time between 2012-2014, the increasing Department is 29% from the total Department, while the decreasing is 20% and the rest always obtain a good level of efficiency. Second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

scholarly journals Continued discussion on conventional versus Islamic banks: combining financial ratios and efficiency

2020 ◽  
Vol 15 (1) ◽  
pp. 132-142 ◽  
Author(s):  
Mohammad Imdadul Haque ◽  
Mohammad Rumzi Tausif ◽  
Anis Ali
Keyword(s):  
Financial Ratios ◽  
Data Envelopment ◽  
Policy Recommendations ◽  
Islamic Banks ◽  
Net Income ◽  
Return On Assets ◽  
Return On Equity ◽  
Using Data ◽  
Conventional Banks ◽  
Better Than

Two different types of banking systems, Islamic and conventional, dominate the banking structure in Saudi Arabia. The purpose of this paper is to contribute to the ongoing debate as to which of the two is better. Using data for the period 2014–2018, the study compares Islamic and conventional banks. It combines traditional financial ratios, Return on Assets (ROA) and Return on Equity (ROE), with Data Envelopment Analysis (DEA) to perform a comprehensive analysis. In terms of ROA, the performance of conventional banks is better than that of Islamic banks, but in terms of ROE, vice versa. DEA results show that conventional banks are more efficient than Islamic banks. In fact, in terms of ROA and ROE, Al Rajhi Bank, an Islamic bank, is the best performer. But in terms of efficiency scores from DEA, Al Rajhi ranks seventh among all banks, while NCB, a conventional bank, ranks first. Issuing shares and utilizing funds in profitable options, such as loans and advances to increase net income, are the policy recommendations for Islamic banks to further improve. In addition, as the study finds no correlation between the ratio and efficiency scores, it proposes to use a combined measure of ratio analysis and efficiency analysis for a comprehensive assessment of bank performance.

Asset Diversification and Efficiency of Islamic Banks

2020 ◽  
pp. 117-140
Author(s):  
Naiwei Chen
Keyword(s):  
Banking System ◽  
Efficiency Score ◽  
Panel Data Model ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Ownership Type ◽  
Bank Efficiency ◽  
Sample Data ◽  
Conventional Banks ◽  
Positive Effect

This chapter examines the effect of asset diversification (AD) on the efficiency of Islamic banks using conventional banks as the contrast sample. Data Envelopment Analysis (DEA) is used to generate efficiency score as a proxy of bank efficiency and the Tobit panel data model is estimated. A review of banks in three Asian countries with a dual banking system from 2006 to 2012 indicates that AD positively affects bank efficiency, regardless of bank type. In addition, the positive effect of AD on bank efficiency strengthens with bank size, particularly for Islamic banks. Furthermore, any positive effect of AD on the efficiency of Islamic banks is particularly found among those without foreign ownership, whereas ownership type plays no role in determining AD's effect on the efficiency of conventional banks.

Benchmarking the efficiencies of Indonesia’s municipal water utilities using Stackelberg data envelopment analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 588-609 ◽  
Author(s):  
Andreas Wibowo ◽  
Hans Wilhelm Alfen
Keyword(s):  
Data Envelopment Analysis ◽  
The Body ◽  
Water Utilities ◽  
Data Envelopment ◽  
Two Stage ◽  
Restrictive Assumption ◽  
Content Type ◽  
Second Stage ◽  
Municipal Water ◽  
The Impact

Purpose – The purpose of this paper is to present a yardstick efficiency comparison of 269 Indonesian municipal water utilities (MWUs) and measures the impact of exogenous environmental variables on efficiency scores. Design/methodology/approach – Two-stage Stackelberg leader-follower data envelopment analysis (DEA) and artificial neural networks (ANN) were employed. Findings – Given that serviceability was treated as the leader and profitability as the follower, the first and second stage DEA scores were 55 and 32 percent (0 percent = totally inefficient, 100 percent = perfectly efficient), respectively. This indicates sizeable opportunities for improvement, with 39 percent of the total sample facing serious problems in both first- and second-stage efficiencies. When profitability instead leads serviceability, this results in more decreased efficiency. The size of the population served was the most important exogenous environmental variable affecting DEA efficiency scores in both the first and second stages. Research limitations/implications – The present study was limited by the overly restrictive assumption that all MWUs operate at a constant-return-to-scale. Practical implications – These research findings will enable better management of the MWUs in question, allowing their current level of performance to be objectively compared with that of their peers, both in terms of scale and area of operation. These findings will also help the government prioritize assistance measures for MWUs that are suffering from acute performance gaps, and to devise a strategic national plan to revitalize Indonesia’s water sector. Originality/value – This paper enriches the body of knowledge by filling in knowledge gaps relating to benchmarking in Indonesia’s water industry, as well as in the application of ensemble two-stage DEA and ANN, which are still rare in the literature.

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