Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis

2005 ◽  
Vol 39 (4) ◽  
pp. 261-285 ◽  
Author(s):  
Kaoru Tone ◽  
Biresh K. Sahoo
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Cost Efficiency ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Using Data

scholarly journals Cost Efficiency of Indian Life Insurance Service Providers using Data Envelopment Analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Mihir Dash ◽  
Arpana Muthyala
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Cost Efficiency ◽  
High Efficiency ◽  
Service Providers ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Major Life ◽  
Using Data ◽  
Research Period

This study examines the cost efficiency of Indian life insurance service providers using Data Envelopment Analysis. The study was performed for a sample of fifteen of the major life insurance companies in India, accounting for 94.77% of the total market for life insurance in India, over the period of 2010-17. The study extends the scope of cost efficiency by disaggregating the premium collection into components. Also, to provide more detailed insights, the efficiency of the life insurance companies is also analysed with respect to each input and output individually.The results of the study show that the most efficient Indian life insurance companies are Life Insurance Corporation, which has been consistently 100% efficient throughout the research period, followed by SBI Life and ICICI Prudential Life, which have also shown consistently high efficiency over the research period. On the other hand, the least efficient life insurance companies are Max New York Life, followed by PNB Met Life, Reliance Life, and Bharati AXA Life. The results of the study also indicate the strengths and weaknesses of the Indian life insurance providers.

scholarly journals Cost efficiency of the Czech and Slovak banking sectors: an application of the data envelopment analysis

2016 ◽  
Author(s):  
Iveta Palecková
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Cost Efficient ◽  
The Cost ◽  
Variable Returns To Scale

The aim of the paper is to estimate the cost efficiency of the Czech and Slovak commercial banks within the period 2010-2014. For empirical analysis the Data Envelopment Analysis input-oriented model with variable returns to scale is applied on the data of the commercial banks. The intermediation approach is adopted to define the inputs and outputs. The Czech commercial banks are more cost efficient than Slovak commercial banks. The development of average cost efficiency is similar in the Czech and Slovak banking industry. The most efficient Czech banks are Ceská sporitelna and Sberbank in the Czech banking sector, the most efficient Slovak bank is Privatbanka with 100% efficiency.

scholarly journals Evaluation of Decision-making Units in Reducing Traffic Accidents Using Data Envelopment Analysis

2020 ◽  
Vol 5 (2) ◽  
pp. 105-114
Author(s):  
Mohammad Reza Omidi ◽  
◽  
Nabi Omidi ◽  
Asad Mahmoudian Azar Sharabiani ◽  
◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Traffic Accidents ◽  
Returns To Scale ◽  
Economic Consequences ◽  
Type Model ◽  
Fars Province ◽  
Data Envelopment ◽  
Variable Model ◽  
Traffic Police ◽  
Using Data

Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit. Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The “returns to scale” was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis. Results: The highest decrease in deaths in traffic accidents (in 2018) was related to Fars Province with 119 people, and the highest decrease in the number of injured cases was related to Khorasan Razavi Province with 1495 people. The RAHVAR Police (Traffic Police of Iran) in Tehran Province had the highest level of input resources, including manpower, equipment, and approved budget. Performance measurement for 2018 showed that out of 31 provinces studied, 10 provinces had a good performance and 21 provinces had acted inefficiently. The research results showed that the proper allocation of resources could push all units to the brink of efficiency. Conclusion: The trend of accidents in Iran is declining. Most of the RAHVAR Police units operate at an inefficient level, which by increasing their efficiency, the number of accidents can be reduced with a greater slope.

scholarly journals Pengukuran Efisiensi Kinerja Sekolah Dasar lewat Model Data Envelopment Analysis

2017 ◽  
Vol 36 (2) ◽  
Author(s):  
Siti Fatimah ◽  
Umi Mahmudah
Keyword(s):  
Elementary Schools ◽  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Returns To Scale ◽  
Scale Model ◽  
Data Envelopment ◽  
Public Elementary Schools ◽  
Crs Model ◽  
Using Data ◽  
Constant Returns To Scale

This study aims to measure the performance efficiency of elementary schools in Special Capital Region of Jakarta, especially Central Jakarta district in the period 2014/2015 by using data envelopment analysis (DEA) approach. DEA is a non-parametric method to measure efficiency of decision making units (DMUs). DEA compares several homogeneous DMUs based on a number of inputs to produce the expected outputs. This study uses descriptive method using DMU as many as 103 public elementary schools that are A-accredited with three inputs and four outputs. Data is analyzed using DEAP version 2.1 application by comparing CRS (Constant Returns to Scale) model and VRS (Variable Returns to Scale) model. Results show that: 1) in CRS model, there are 8 public elementary schools (7.77 percent) have efficient performances while in VRS model there are 14 public elementary schools (13.59 percent) have efficient performances; 2) VRS model is better than CRS model in measuring the efficiency performance of public elementary schools in Central Jakarta.

Do hospital mergers increase hospital efficiency? Evidence from a National Health Service country

2007 ◽  
Vol 12 (4) ◽  
pp. 230-235 ◽  
Author(s):  
Lars Kjekshus ◽  
Terje Hagen
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Cost Efficiency ◽  
Treatment Process ◽  
Panel Data Analysis ◽  
Data Envelopment ◽  
Hospital Mergers ◽  
Positive Effects ◽  
Negative Effect ◽  
Using Data

Objectives: To analyse the effects on technical and cost efficiency of seven hospital mergers over the period 1992–2000 in Norway. The mergers involved 17 hospitals. Methods: First, efficiency scores were generated using Data Envelopment Analysis for 53 merged and non-merged hospitals over the nine years. Second, the effect of mergers was estimated through panel data analysis. Results: In general, the mergers showed no significant effect on technical efficiency and a significant negative effect of 2–2.8% on cost efficiency. However, positive effects on both cost and technical efficiency were found in one merger where more hospitals were involved, and where administration and acute services were centralized. Conclusion: The findings indicate that large mergers involving radical restructuring of the treatment process may improve efficiency as intended, but most mergers do not.

scholarly journals Impact of acquisition on cost efficiency of acquirer firms by using Data Envelopment Analysis (DEA)

2016 ◽  
Vol 11 (1) ◽  
pp. 69-84
Author(s):  
Tahira Awan ◽  
Syed Zulfiqar Ali Shah ◽  
Arshad Hassan
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Data Envelopment ◽  
Using Data

scholarly journals Measuring Tourism Efficiency of European Countries by Using Data Envelopment Analysis

2017 ◽  
Vol 13 (10) ◽  
pp. 31 ◽  
Author(s):  
Halenur Soysal-Kurt
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Returns To Scale ◽  
Tourism Industry ◽  
European Countries ◽  
Data Envelopment ◽  
Micro Level ◽  
Input Variables ◽  
Using Data ◽  
Constant Returns To Scale

This study aims to measure relative efficiency of 29 European countries with the data of the year 2013 using input-oriented and constant returns to scale Data Envelopment Analysis and to offer improvement suggestions for the countries found inefficient based on their measured relative efficiency scores. Three input and three output variables are used to assess relative performances of the countries. In this study, tourism expenses, number of employees and number of beds are used as input variables; tourism receipts, tourist arrivals and number of nights spent are used as output variables. As the result of the analysis, 16 countries are found relatively efficient and 13 countries are found relatively inefficient. This study is one of the few publications within the scope of European countries based on data envelopment analysis. Unlike most researches evaluating the efficiency of tourism establishments at the micro level, this paper is thought to contribute to the related literature as it evaluates relative efficiency of the countries at the macro level for tourism industry. Considering the variables used in the analysis, it is expected to give ideas to relatively inefficient European countries on efficiency improvement.

Sign in / Sign up

Export Citation Format

Share Document