scholarly journals Evaluating the nationalization & privatization effect: a case of Indian banking industry

2018 ◽  
Vol 13 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Manju Rajan Babu ◽  
Ashok Kumar M.
Keyword(s):  
Data Envelopment Analysis ◽  
Public Sector ◽  
Banking Industry ◽  
Data Envelopment ◽  
Financial Reports ◽  
The Public ◽  
Public Sector Banks ◽  
Effective Performance ◽  
Using Data ◽  
Indian Banks

The facilitation of economic transactions and friendly investor environment is undertaken through effective performance of financial systems. Mobilization of savings and funding the profitable business opportunities are essential in improving the efficiency of intermediation. The study aims to evaluate the effects of nationalization and privatization on Indian banks. Various factors have been considered to examine the effects of privatization and nationalization, including sources of public sector inefficiency, measures of firm performance, econometric issues, and the mode of privatization. The data was collected for the period of 1998 to 2016 from Indian banks. Data Envelopment Analysis (DEA) was used to evaluate the financial reports of the banks selected to evaluate the efficiency of input and output variables. Positive results were observed, concerning the efficiency and profitability of banking industry after banks’ privatization. Performance of private banks has been observed effective and efficient as compared to the public sector banks. Privatization of banks must be increased and maintained to sustain the efficiency of the banks and implement strategies to maintain the assets. Future studies may recruit more appropriate sample size to evaluate the privatization and nationalization effects of Indian banking industry. Greater number of banks will provide more precise results, using data envelopment analysis.

Measuring the performance efficiency of banks in a developing economy

2018 ◽  
Vol 25 (2) ◽  
pp. 575-606 ◽  
Author(s):  
Sashank Chaluvadi ◽  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Banking Sector ◽  
Data Envelopment ◽  
Content Type ◽  
The Public ◽  
Public Sector Banks ◽  
Quality Category ◽  
Indian Banks

Purpose The purpose of this paper is to measure and evaluate the performance efficiency of 44 Indian commercial banks, out of which 26 banks belong to the public sector, and 18 banks are from the private sector for the period of 2008-2013. Design/methodology/approach The two-stage network data envelopment analysis (DEA) approach (i.e. variable return to scale and constant return to scale) is used for the measurement of performance in the Indian banking sector. To verify the robustness of the proposed study, sensitivity analysis is also performed. Findings A comparative study between public sector banks (PSBs) and private sector banks (PVBs) showed that latter being more productive compared to the former. The investigation highlighted that two banks are most efficient among the PSBs, and eight banks from PVBs are found to be most effective. On the other side, the performance of State Bank of Bikaner & Jaipur and Lakshmi Vilas Bank is discovered to be less significant from PSB and PVB category, respectively. Research limitations/implications This study will guide the Indian banks to improve upon the factors in which they are lagging, for the improvement of their overall performance. The quality category parameters, i.e. quality of service, quality of equipment, are not considered due to unavailability of information in the output measures, and the methodology used for the study does not identify the causes or remedies for the inefficiency of the banks. Originality/value The developed DEA model would help the decision maker to take decisions on the issues related to the performance of the banks. This paper discusses very practical issues in an analytic manner.

scholarly journals A Study on Management of Non Performing Assets in Priority Sector reference to Indian Bank and Public Sector Banks (PSBs)

2016 ◽  
Vol 2 (1) ◽  
pp. 31
Author(s):  
Selvarajan BSR
Keyword(s):  
Public Sector ◽  
Tamil Nadu ◽  
Banking Industry ◽  
Action Plan ◽  
The Other ◽  
Public Sector Banks ◽  
The Government ◽  
Indian Banks ◽  
Bad Debt ◽  
New Strategies

<p>The problem of NPA is not limited to only Indian public sector banks, but it prevails in the entire banking industry.  Major portion of bad debts in Indian Banks arose out of lending to the priority sector at the dictates of politicians and bureaucrats.  If only banks had monitored their loans effectively, the bad debt problem could have been contained if not eliminated. The present study has been designed to illustrate the necessity and the nature of the non-performing assets in Indian Bank, Tamil Nadu. Finding out Non Performing Assets –NPA- under the Priority sector lending in Indian Bank and Compare with Public Sector Banks and making appropriate suggestions to avoid future NPAs and to manage existing NPAs in Indian Bank are the other major objectives of this study. The scope of this study covers on the basis: (i)  measuring for the banks to avoid future NPAs &amp; to reduce existing NPAs, (ii) guiding for the government in creating &amp; implementing new strategies to control NPAs, (iii) selecting appropriate techniques suited to manage the NPAs and develop a time bound action plan to arrest the growth of NPAs.</p>

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.

HRM Practices In Commercial Banks: A Discriminant Analysis Among Public And Private Sector Banks

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 214-221
Author(s):  
E. RUSHIT GNANA ROY ◽  
P. JEGAN
Keyword(s):  
Public Sector ◽  
Human Resources ◽  
Private Sector ◽  
Banking Industry ◽  
Public And Private ◽  
The Public ◽  
Public Sector Banks ◽  
Hrm Practices ◽  
Knowledge Based ◽  
Public And Private Sector

Since the banking industry is a knowledge based industry it is essential to transfer the staff recruited into valuable human resources for the banks. It can be done by the provision of adequate skills, knowledge, competences and talents to the human resources. The investment n HRM is essential and inevitable in banking industry, since the return on investment on HRM practices for higher than its cost. With this background, that rate of implementation of HRM practices is banks was analysed. The study revealed that implementation of HRM practices at private sector banks are higher compared to public sector banks. The public sector banks should realise the importance of implementation of HRM practice in order to enrich their performance.

scholarly journals Performance Through Efficiency in the Public Healthcare System – A DEA Approach in an Emergent Country

2017 ◽  
Vol 62 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Cristina Silvia Nistor ◽  
Cristina Alexandrina Ștefănescu ◽  
Andrei-Răzvan Crișan
Keyword(s):  
Data Envelopment Analysis ◽  
Public Sector ◽  
Healthcare System ◽  
Emerging Countries ◽  
Public Healthcare ◽  
Data Envelopment ◽  
Tobit Regression ◽  
The Public ◽  
System A ◽  
Analysis Technique

AbstractAiming to analyze the efficiency of the public sector, this paper enriches the literature by providing insights of the healthcare system for an emergent country - Romania. The empirical findings reached by applying the input orientated-variable return to scale (VRS) model of Data Envelopment Analysis (DEA) and Tobit regression method are determined on two key levels of the study. The Data Envelopment Analysis technique quantifies the efficiency within 20 representative hospitals located in the four administrative macro-regions, highlighting the ways of increasing efficiency, while the Tobit regression identifies the factors that influence the efficiency level. The results of the investigation allow for comparisons with other emerging countries, as efficiency has become an increasingly significant factor for public sector evolution.

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