Revenue efficiency evaluation of life insurance companies in India: identification of leaders and laggards

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aparna Bhatia ◽  
Megha Mahendru
Keyword(s):  
Life Insurance ◽  
Empirical Work ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Data Set ◽  
Content Type ◽  
Insurance Sector ◽  
Efficiency Performance ◽  
Revenue Efficiency ◽  
Indian Insurance

PurposeThe purpose of this article is to evaluate revenue efficiency performance of life insurance companies in India. The study also compares if private or public insurance sector is more “revenue efficient”. Furthermore, the study determines the nature of return to scale (RTS) and identifies the leaders and laggards amongst insurance companies operating in India.Design/methodology/approachRevenue efficiency is calculated by employing data envelopment analysis – a non-parametric approach, on a data set of 24 insurance companies over the period 2013–2014 to 2017–2018.FindingsThe empirical results suggest that life insurance companies in India could generate only 34.4% of revenue, which is very less than what these are expected to generate from the same inputs. Majority of life insurance companies operating in India are operating at decreasing return to scale (DRS). There is a reduction in leaders and the highest proportion of companies is falling in the category of laggards.Originality/valueAs per the best knowledge of researchers, no empirical work has been carried out with respect to measuring the revenue efficiency of Indian insurance companies. The current study appropriately fills the gap by not only calculating the revenue efficiency scores of insurance companies in India but also provides insights into the causes of revenue inefficiencies. It also gives implications for efficient and effective management of insurance companies.

Determinants of profitability of life and non-life insurance companies: evidence from Ecuador

2019 ◽  
Vol 14 (5) ◽  
pp. 831-872
Author(s):  
Segundo Camino-Mogro ◽  
Natalia Bermúdez-Barrezueta
Keyword(s):  
Latin American ◽  
Life Insurance ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Data Set ◽  
Content Type ◽  
Insurance Sector ◽  
Main Determinants ◽  
The Interest Rate ◽  
First Time

Purpose The purpose of this paper is is to identify the main determinants of insurance profitability on life and non-life segments to obtain which variables affect in each market of the Ecuadorian insurance sector. Design/methodology/approach The authors use a large panel data set with financial information from 2001 to 2017 and estimate the determinants through a panel corrected standard errors regression. Findings The authors found that net premiums, technical reserves, capital ratio and score efficiency are micro-determinants in the life insurance sector, whereas in the non-life sector, the micro-determinants include also claim level and liquidity ratio; moreover, the authors found that HHI is a determinant of profitability only in the life insurance. Among the macro determinants set, the authors found that the interest rate has also a significant impact both in the life and non-life insurance. Originality/value The authors analyze a dollarized emerging country, which is the first time in this kind of studies. The authors also include the structure-conduct-performance and relative market power paradigm as well as the ES hypothesis, calculated through the data envelopment analysis, as determinants of insurance profitability. Finally, this is the first research to examine the determinants of profitability in Latin American and Caribbean insurers.

The influence of Education, Occupation and Income on Perceived Customer Value

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Amit Sharma ◽  
Bodh Raj Sharma
Keyword(s):  
Life Insurance ◽  
Customer Value ◽  
Demographic Variables ◽  
Insurance Companies ◽  
Primary Data ◽  
Insurance Sector ◽  
Significant Difference ◽  
Quota Sampling ◽  
Indian Insurance ◽  
Perceived Customer Value

The aim of this paper is to assess empirically perceptual gap among the customers having different educational qualification, occupation and income regarding customer value in Indian insurance sector. It is a fact that insurance sector has been growing tremendously despite a lot of competition in the marketplace. The study is based upon the primary data obtained from customers of four life insurance companies belonging to various districts of J&K through quota sampling. A questionnaire was framed containing items of demographics and statements measuring customer value based upon seven point Likert scale. The findings indicate that the demographic variables viz., qualification, occupation and monthly income, there is no significant difference regarding perceived customer value among the life insurance players.

Productivity of the Indian non-life insurance sector

2019 ◽  
Vol 69 (4) ◽  
pp. 633-650
Author(s):  
Ashiq Mohd Ilyas ◽  
S. Rajasekaran
Keyword(s):  
Life Insurance ◽  
Average Rate ◽  
Insurance Companies ◽  
Scale Efficiency ◽  
Index Number ◽  
Content Type ◽  
Insurance Sector ◽  
Index Number Theory ◽  
Practical Implications ◽  
Observation Period

Purpose The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of total factor productivity (TFP) over the period 2005–2016. Design/methodology/approach This study utilises Färe‒Primont index (FPI) to access the change in TFP and its components: technical change, technical efficiency and mix and scale efficiency over the observation period. Moreover, it employs the Mann–Whitney U-test to scrutinise the difference between the public and the private insurers in terms of growth in productivity. Findings The results reveal that the insurance sector possesses a very low level of TFP. Also, the results divulge an improvement of 11.98 per cent in TFP of the insurance sector at an annual average rate of 12.41 per cent over the observation period. The growth in productivity is mainly attributable to the improvement of 10.81 per cent in the scale‒mix efficiency. The progress in scale‒mix efficiency is mainly the result of improvements in residual scale and residual mix efficiency. The results also show that the privately owned insurers have experienced a high productivity growth rate than the state-owned insurers. Practical implications The results hold practical implications for the regulators, policymakers and decision makers of the Indian non-life insurance companies. Originality/value This study is the first of its kind to use FPI, which satisfies all economically relevant axioms and tests defined by the index number theory to comprehensively access the change in TFP of the Indian non-life insurance sector.

Assessment of revenue efficiency of Indian scheduled commercial banks

2018 ◽  
Vol 60 (6) ◽  
pp. 1234-1254
Author(s):  
Aparna Bhatia ◽  
Megha Mahendru
Keyword(s):  
Commercial Banks ◽  
Design Methodology ◽  
Empirical Work ◽  
Specific Reference ◽  
Data Envelopment ◽  
Parametric Approach ◽  
Tobit Regression ◽  
Content Type ◽  
Revenue Efficiency ◽  
Better Than

Purpose This paper aims to endeavour to assess revenue efficiency (RE) scores of Scheduled Commercial Banks operating in India. Differences in RE are studied across varying ownership as well. The study also determines the nature of return to scale of Indian SCBs as whole as well as classified across ownership. Number of banks operating as leaders and laggards has also been calculated. Design/methodology/approach RE of banks is calculated by using the non-parametric approach, namely, data envelopment analysis (DEA). Further, the differences in the efficiency scores are examined by applying Panel Tobit Regression. Findings The results of DEA suggest that none of the banks has ever achieved full RE score of 1 in any of the years under study. An inconsistent pattern of RE is seen. Private sector banks have performed better than their counterparts in public and foreign sector. Maximum number of banks operating on decreasing return to scale are from public sector, and the highest number of banks operating on constant return to scale belong to Foreign Sector. More number of banks operates as laggards in the Indian financial system. Thus, there still exists room for improvement for banks in all sectors. Originality/value With specific reference to India, less empirical work has been carried out with respect to RE. As only two studies so far from the literature are available that consider RE exclusively, namely, Ram Mohan and Ray (2004) and Bhatia and Mahendru (2015). However, Ram Mohan and Ray (2004) considered only the reformatory phase, whereas Bhatia and Mahendru (2015) analyzed the performance for specific points of time only. None of the study has been able to give any concrete findings according to sector-wise performance of banks in terms of RE parameters.

Indian Life Insurance Market and Corporate Performances: A Study of Selected Firms

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Joy Chakraborty ◽  
Partha Pratim Sengupta
Keyword(s):  
Market Share ◽  
Life Insurance ◽  
Market Concentration ◽  
Insurance Market ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurers ◽  
Company Limited

In the pre-reform era, Life Insurance Corporation of India (LICI) dominated the Indian life insurance market with a market share close to 100 percent. But the situation drastically changed since the enactment of the IRDA Act in 1999. At the end of the FY 2012-13, the market share of LICI stood at around 73 percent with the number of players having risen to 24 in the countrys life insurance sector. One of the reasons for such a decline in the market share of LICI during the post-reform period could be attributed to the increasing competition prevailing in the countrys life insurance sector. At the same time, the liberalization of the life insurance sector for private participation has eventually raised issues about ensuring sound financial performance and solvency of the life insurance companies besides protection of the interest of policyholders. The present study is an attempt to evaluate and compare the financial performances, solvency, and the market concentration of the four leading life insurers in India namely the Life Insurance Corporation of India (LICI), ICICI Prudential Life Insurance Company Limited (ICICI PruLife), HDFC Standard Life Insurance Company Limited (HDFC Standard), and SBI Life Insurance Company Limited (SBI Life), over a span of five successive FYs 2008-09 to 2012-13. In this regard, the CARAMELS model has been used to evaluate the performances of the selected life insurers, based on the Financial Soundness Indicators (FSIs) as published by IMF. In addition to this, the Solvency and the Market Concentration Analyses were also presented for the selected life insurers for the given period. The present study revealed the preexisting dominance of LICI even after 15 years since the privatization of the countrys life insurance sector.

scholarly journals Impact of premium reserve on life insurance investments in the Western Balkans

2021 ◽  
Vol 16 (2) ◽  
pp. 355-376
Author(s):  
Jelena Tomašević ◽  
Milijana Novović-Burić ◽  
Ljiljana Kašćelan ◽  
Vladimir Kašćelan
Keyword(s):  
Financial Market ◽  
Life Insurance ◽  
Insurance Companies ◽  
Strong Positive Correlation ◽  
Western Balkans ◽  
Insurance Sector ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Financial Investments ◽  
The Impact

The growing importance of life insurance in the world imposes a greater need for research in this area, particularly in the Western Balkans where the trend of growth has been closely accompanied by life insurance for the past two decades. Taking into consideration that life insurance companies are significant participants in the financial market, this research paper examines the impact of the premium reserve on the volume of financial investments of life insurance companies in Western Balkan countries, based on aggregate data on country level. In order to test its effect, linear correlation and regression models were used, based on data collected for the period 2006-2016. Additionally, comparative analysis was used to compare the position of life insurance companies in financial markets. The results obtained by applying correlation and regression analysis showed that there is a strong positive correlation between premium reserve and financial investments in all of the aforementioned countries in the region. This result is an important strategic guideline for the regulators and policymakers to make advancements in the life insurance sector as well as in the financial market of the Western Balkans.

scholarly journals A COMPARATIVE STUDY OF CONVENTIONAL AND SHARIAH LIFE INSURANCE EFFICIENCY USING DATA ENVELOPMENT ANALYSIS

2020 ◽  
Vol 9 ◽  
Author(s):  
Mulia Saputra ◽  
Muhammad Arfan ◽  
Neni Zahara
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Value Added ◽  
Sampling Technique ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Purposive Sampling ◽  
Test Input

This study aims to analyze and compare the efficiency between conventional life insurance companies and Islamic life insurance companies in Indonesia over the period of 2014-2018. The sample of this study was taken from 10 conventional life insurance companies and 10 shariah life insurance companies that were selected based on the purposive sampling technique. Measurement of efficiency in this study was conducted using the method of data envelopment analysis (DEA) based on Bankers-Charnes-Cooper (BCC) and Charnes-Cooper-Rhodes (CCR) models of the value-added approach. This was followed by testing the hypothesis using a different Mann-Whitney U-test. Input variables used are assets, capital, general and administrative costs, and commission expenses. Meanwhile, the output variables are premiums and investment income. The results showed that conventional life insurance companies are more efficient than Islamic life insurance companies based on the BCC and CCR models. Furthermore, the results of different tests using the Mann-Whitney U-test showed an insignificant difference in efficiency between conventional life insurance companies and Islamic life insurance companies during the study period. The results of the comparison of the average efficiency value with the DEA method indicated that the efficiency level of a conventional life insurance company was better than a shariah life insurance company.========================================================================================================Studi Perbandingan Efisiensi antara Asuransi Jiwa Konvensional dengan Syariah Menggunakan Data Envelopment Analysis. Penelitian ini bertujuan untuk menganalisis perbandingan efisiensi perusahaan asuransi jiwa konvensional dengan perusahaan asuransi jiwa syariah di indonesia pada periode 2014-2018. Sampel penelitian ini adalah 10 perusahaan asuransi jiwa konvensional dan 10 perusahaan asuransi jiwa syariah yang dipilih berdasarkan teknik purposive sampling. Pengukuran efisiensi dalam penelitian ini menggunakan metode data envelopment analysis (DEA) dengan model BCC dan CCR berdasarkan pendekatan nilai tambah. dilanjutkan dengan melakukan uji hipotesis menggunakan uji beda mann-whitney u-test. Variabel input yang digunakan adalah aset. modal. biaya administrasi dan umum. dan beban komisi. Sedangkan variabel outputnya adalah premi dan pendapatan investasi. Hasil penelitian menunjukkan bahwa perusahaan asuransi jiwa konvensional lebih efisien dibandingkan perusahaan asuransi jiwa syariah berdasarkan pengukuran dengan model BCC maupun model CCR. Selanjutnya hasil uji beda menggunakan uji mann-whitney u- test menunjukkan bahwa tidak terdapat perbedaan efisiensi yang signifikan antara perusahaan asuransi jiwa konvensional dan perusahaan asuransi jiwa syariah selama periode penelitian ini. Hasil perbandingan nilai efisiensi rata-rata dengan metode DEA menunjukkan bahwa tingkat efisiensi perusahaan asuransi jiwa konvensional lebih baik daripada perusahaan asuransi jiwa syariah.

Cost, revenue and profit efficiency analysis of Indian scheduled commercial banks

2017 ◽  
Vol 59 (3) ◽  
pp. 442-462 ◽  
Author(s):  
Megha Mahendru ◽  
Aparna Bhatia
Keyword(s):  
Public Sector ◽  
Commercial Banks ◽  
Empirical Work ◽  
Specific Reference ◽  
Profit Efficiency ◽  
Content Type ◽  
Output Synchronization ◽  
Efficiency Performance ◽  
Private And Public ◽  
The Cost

Purpose This paper aims to analyze the cost, revenue and profit efficiency performance of Indian scheduled commercial banks. The study also determines differences if any related to efficiency among banks on the basis of ownership pattern. Design/methodology/approach Cost, revenue and profit efficiency of banks is calculated by using the non-parametric approach, namely, data envelopment analysis. Further, the differences in the efficiency scores are examined by applying analysis of variance. Findings Indian scheduled commercial banks have not been able to maintain their input-output synchronization in terms of cost, revenue and profits in the year 2012-2013. Foreign sector banks have higher cost and profit efficiency as compared to their counterparts in private and public sector, whereas public sector banks are found to have been more revenue efficient. Originality/value With specific reference to India, less empirical work has been carried out with respect to cost, revenue and profit efficiency. None of the studies have evaluated the sector-wise performance of banks in terms of all three efficiency parameters.

An application of data envelopment analysis for Korean banks with negative data

2017 ◽  
Vol 24 (4) ◽  
pp. 1052-1064 ◽  
Author(s):  
Yong Joo Lee ◽  
Seong-Jong Joo ◽  
Hong Gyun Park
Keyword(s):  
Data Envelopment Analysis ◽  
Data Sets ◽  
Data Envelopment ◽  
Negative Data ◽  
Ownership Type ◽  
Data Set ◽  
Translation Invariant ◽  
Content Type ◽  
Dea Models ◽  
Regional Banks

Purpose The purpose of this paper is to measure the comparative efficiency of 18 Korean commercial banks under the presence of negative observations and examine performance differences among them by grouping them according to their market conditions. Design/methodology/approach The authors employ two data envelopment analysis (DEA) models such as a Banker, Charnes, and Cooper (BCC) model and a modified slacks-based measure of efficiency (MSBM) model, which can handle negative data. The BCC model is proven to be translation invariant for inputs or outputs depending on output or input orientation. Meanwhile, the MSBM model is unit invariant in addition to translation invariant. The authors compare results from both models and choose one for interpreting results. Findings Most Korean banks recovered from the worst performance in 2011 and showed similar performance in recent years. Among three groups such as national banks, regional banks, and special banks, the most special banks demonstrated superb performance across models and years. Especially, the performance difference between the special banks and the regional banks was statistically significant. The authors concluded that the high performance of the special banks was due to their nationwide market access and ownership type. Practical implications This study demonstrates how to analyze and measure the efficiency of entities when variables contain negative observations using a data set for Korean banks. The authors have tried two major DEA models that are able to handle negative data and proposed a practical direction for future studies. Originality/value Although there are research papers for measuring the performance of banks in Korea, all of the papers in the topic have studied efficiency or productivity using positive data sets. However, variables such as net incomes and growth rates frequently include negative observations in bank data sets. This is the first paper to investigate the efficiency of bank operations in the presence of negative data in Korea.

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