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.

scholarly journals How efficient are public sector banks in India? A non-parametric approach

2020 ◽  
Vol 15 (4) ◽  
pp. 108-120
Author(s):  
Sangeetha R
Keyword(s):  
Public Sector ◽  
Technical Efficiency ◽  
Productivity Growth ◽  
Data Envelopment ◽  
Managerial Performance ◽  
Public Sector Banks ◽  
Fixed Assets ◽  
Dea Analysis ◽  
Input Variables ◽  
Using Data

This study examines the efficiency of Public Sector Banks (PSBs) in India using Data Envelopment Analysis (DEA). Analysis is carried out on a sample of 19 PSBs that are existed during the study period from 2005 to 2018. There are two different aspects deliberated, namely technical efficiency of PSBs and the growth in their productivity. Input variables envisaged for the study are deposits, borrowings, fixed assets, and the number of employees. Loans and advances along with investments act as output variables to measure technical efficiency and productivity. The results indicate that the technical efficiency of PSBs ranges between 97% and 100%. Corporation Bank, Indian Bank, and Oriental Bank of Commerce outperformed their peers with 100% technical efficiency. Productivity growth among the sampled banks during the study period stood between 0.8% and 20%. However, Corporation Bank, Indian Bank, and Oriental Bank of Commerce registered 9.1%, 5.4% and 6.4% productivity growth, respectively. The results reveal that PSBs are working hard to optimize resource utilization. Researchers around the world can use DEA as a tool to measure the efficiency of banks with different input and output variables related to financial, marketing and managerial performance. AcknowledgmentI like to express my profound thanks to Dr Kishore Selva Babu for rendering his language expertise. I also thank all the anonymous reviewers for their valuable comments and feedback that greatly improved the manuscript.

scholarly journals Technical Efficiency in Public Hospitals in Kenya: A Two –Stage Data Envelopment Analysis

2018 ◽  
Vol 10 (6) ◽  
pp. 141
Author(s):  
Francis Kimani Mwihia ◽  
James Machoki M’ Imunya ◽  
Germano Mwabu ◽  
Urbanus M. Kioko ◽  
Benson B. A. Estambale
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Public Hospitals ◽  
Capital City ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Hospital Variation ◽  
Dea Analysis ◽  
Tobit Regression Analysis

The paper uses the DEA technique to estimate efficiency scores in Kenyan public hospitals and then applies the Tobit regression to study inter-hospital variation in the scores. The DEA analysis reveals that small hospitals are more efficient than large hospitals, with efficiency levels ranging from 74-91% in small DMUs and from 57-78% in large DMUs. Tobit regression analysis shows efficiency scores are negatively correlated with the hospital’s distance from the manager’s residence and from the capital city. Internal and external supervisions are suggested as mechanisms for increasing performance of hospitals.

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 The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

scholarly journals Evaluating Efficiency of Waqf Institutions: An Intermediation Approach Using Data Envelopment Analysis (DEA)

2019 ◽  
Vol 2 (2) ◽  
pp. 82-89
Author(s):  
Nor Tasik Misbahrudin
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Wealth Distribution ◽  
Scale Efficiency ◽  
Optimum Level ◽  
Data Envelopment ◽  
Input And Output ◽  
Distribution State ◽  
Using Data ◽  
Decision Making Units

Waqf is a voluntary charity that cannot be disposed of and the ownership cannot be transferred once it is declared as waqf assets. Waqf institutions play an important role in helping the development of Muslims ummah through wealth distribution. State Islamic Religious Councils (SIRCs) in Malaysia are the sole trustee that manage and develop waqf assets. Based on selected input and output, the intermediary approach assumes that cash waqf received as output while total expenditure of SIRCs as input. Under this approach SIRCs act as intermediary between waqif (giver) and beneficiaries. Thus, this paper attempts to analyze the efficiency of waqf institutions in Malaysia by using Data Envelopment Analysis (DEA) method under output-orientation using Variable Return to Scale (VRS) assumptions. Four SIRCs were selected as decision making units (DMU) for the period of 2011 to 2015. The result indicates that changes in average technical efficiency for every year is contributed by both pure technical and scale. However, inefficiency of Malaysian waqf institutions is mostly contributed by pure technical efficiency aspects rather than scale. 2012 showed the highest average technical efficiency with 73.9% as most of the institutions operated in optimum level of input to produce output. Thus, the result suggests that both technical and scale efficiency should be improved to achieve the most efficient and productive level of performance in order to fulfill objectives of the institutions as an intermediary between waqif and beneficiaries.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

scholarly journals Wpływ wielkości banku na jego efektywność: badania dla krajów Europy Środkowo-Wschodniej

2015 ◽  
Vol 2 (3) ◽  
pp. 81-96
Author(s):  
Katarzyna Mikołajczyk
Keyword(s):  
Positive Relationship ◽  
Soft Information ◽  
Financial Resources ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Technological Changes ◽  
East European ◽  
Using Data ◽  
The Cost ◽  
The Impact

Although there is a growing body of literature on the impact of bank size on itsstrategy, efficiency, profitability and stability, the results are still inconclusive. Themain advantages of large banks are their capability for product and geographicaldiversification, ability to bear the cost of technological changes and easier accessto financial resources. On the other hand, small banks have a good understandingof local markets, use soft information on their clients more effectively, are basedon relationship banking model, and have much simpler organizational structure.The aim of this paper is to analyze the impact of bank size on its efficiency in Centraland East European countries. For that purpose, all commercial banks fromCEE countries were divided into four groups, depending on their size (expressedin absolute and relative terms). Technical and scale efficiency scores for the period2004–2013 were calculated using Data Envelopment Analysis. The main conclusionis that in CEE countries bank size affects the efficiency, particularly if thesize is expressed in absolute terms. There is a positive relationship between banksize and its technical efficiency (especially above a certain limit). The relationshipbetween bank size and scale efficiency is nonlinear: the smallest and the largestbanks have higher scale inefficiency.

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