Efficiency Decomposition in two-stage Data Envelopment Analysis: An application to Life Insurance companies in India

2018 ◽  
Vol 17 (2) ◽  
pp. 271-285 ◽  
Author(s):  
Suvvari Anandarao ◽  
S. Raja Sethu Durai ◽  
Phanindra Goyari
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Two Stage ◽  
Efficiency Decomposition

Two-Stage Evaluation of Life Insurance Industry in Taiwan Using Data Envelopment Analysis

2012 ◽  
Vol 468-471 ◽  
pp. 2588-2598
Author(s):  
Hsien Ta Lin
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Production Efficiency ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Investment Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Two Stage ◽  
Overall Efficiency

This study sourced the 2010 data of 25 Taiwanese life insurance companies, and conducted data envelopment analysis (DEA) to evaluate their operating efficiencies. The results can provide references for insurance companies and relevant institutions. The findings showed that there are nine DMUs with an overall efficiency of 1 under DEA at the single stage. Under DEA production efficiency evaluation, there are 15 DMUs with an overall efficiency of 1. Under second stage investment efficiency evaluation, there are 8 DMUs with an overall efficiency of 1. The management matrix diagram classifies 25 life insurance companies into four types, and suggestions are provided for each type of companies for improvements. The evaluation model of two-stage DEA can help measure operational performance and determine the different operations of each stage. The findings indicated that most companies are high product efficiency and low profit or lower product efficiency and profit than other insurance companies. The result can serve as decision references for relevant supervisory authorizes and investors, and in particular, provide reference indicators for life insurance companies, or the supervisory could modify relevant law under not affecting inventors’ benefits.

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.

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

2020 ◽  
Vol 9 (2) ◽  
pp. 110
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.

Assessing the Technical Efficiency of Traditional and Corporate Agents in Indian Life Insurance Industry: Slack-based Data Envelopment Analysis Approach

2018 ◽  
Vol 21 (2) ◽  
pp. 490-506 ◽  
Author(s):  
Ankitha Shetty ◽  
Savitha Basri
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Life Insurance ◽  
Insurance Industry ◽  
Distribution Channels ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Life Insurance Industry ◽  
Significant Difference

The distribution channels play an imperative role in the life insurance industry. In India, traditional and corporate agency are contributing immensely to the profitability of the insurance companies. The challenges faced by the distributional channels such as high attrition, soaring expense ratio and sales inefficiency have created the need to probe into the efficiency aspects of the channel players. In the absence of such studies in India, this article evaluates the technical efficiency of distribution channels in life insurance industry by analysing the data collected from 12 insurance companies for the period 2012 to 2016. The efficiency scores were obtained by applying data envelopment analysis that considered two inputs (number of agents and commission expenses) and two outputs (average business premium and total policies sold). The findings reveal no significant difference in the efficiency scores of bancassurance and traditional agents. Quiet life hypothesis that market share (ratio of premium contribution to total premium) of distributional channels and their efficiency scores are negatively correlated is not supported. Moreover, the slack analysis shows excess inputs per output generated for both the channels. If the companies that scored low in efficiency do not plug the leakages regarding commission as well a number of agents, adverse performance in the long-term and consequent financial crisis are inevitable.

Two-Stage Data Envelopment Analysis Efficiency of Indian General Insurance Companies

2021 ◽  
pp. 097215092110476
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Data Envelopment Analysis ◽  
Asset Management ◽  
Evaluation Model ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Two Stage ◽  
Network Dea ◽  
Second Stage ◽  
General Insurance

The present study compares efficiency-related performance of 15 Indian general insurance companies using a two-stage efficiency evaluation model. Efficiency evaluation has been made for the span 2009–2010 to 2017–2018 using network DEA (data envelopment analysis). The results indicate that the in-sample private sector general insurance companies outcompeted the public sector insurers with regard to first-stage activity (premium mobilization), while the reverse was observed in terms of the second-stage activity (asset management and provision of claim benefits). The study also carried out regression of efficiency scores on several contextual variables. The results indicate that ownership is an influential contextual variable in both stages of productivity while solvency significantly impacts efficiency in the second stage.

scholarly journals Pengukuran Efisiensi Asuransi Syariah Dengan Data Envelopment Analysis (DEA)

2019 ◽  
Vol 4 (1) ◽  
pp. 1-23
Author(s):  
Hulwah Tuffahati ◽  
Sepky Mardian ◽  
Edy Suprapto
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Insurance Companies ◽  
Data Envelopment ◽  
General Insurance ◽  
Input Variables ◽  
Optimal Efficiency ◽  
Using Data ◽  
The Cost ◽  
Islamic Insurance

This research is aimed to measure the efficiency of Islamic Insurance Companies in Indonesia by using Data Envelopment Analysis (DEA). The sample used in this research are the Islamic Insurance Companies that publishes their full financial statements from the years 2012-2014. The variables in this study consists of two kinds of variables, namely input variables and output variables. The variable input is the total assets and the cost of commissions. While the variable output is the gross contribution and investment income. This study uses the intermediation approach with input orientation and use three types of measurements are the measurement of the efficiency of technical efficiency, pure technical and scale. The results of this study are in the groups of Islamic General Insurance Companies and Islamic Life Insurance Companies there are no company that achieve optimal efficiency levels in the three types of measurements.Whereas in the group Syariah General Insurance Unit are 2 companies optimally efficient in 3 measurements or by 28.57% of the total companies sampled in this group. And the group Syariah Life Insurance Unit are 4 companies optimally efficient in 3 measurements or 25% of total companies sampled in this group.

scholarly journals Measuring Efficiency of Life Insurance Instution in Indonesia: Data Envelopment Analysis Approach

2017 ◽  
Vol 5 (1) ◽  
pp. 012
Author(s):  
Aam S. Rusydiana ◽  
Taufiq Nugroho
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Life Insurance Industry ◽  
Measuring Efficiency ◽  
Input Variables

This study aims to measure the level of efficiency of the life insurance industry in Indonesia. The calculation of the efficiency level in this study is relative, not absolute. The approach used is Data Envelopment Analysis (DEA). There are 8 research objects: Prudential, BNI Life, PaninDai-IchiLife, Asuransi Jiwasraya and Life Insurance Adisaranan Wanaartha, Takaful Takaful Insurance, Amanahjiwa Giri sharia insurance and Al-Amin sharia life insurance. This study consists of three input variables (cost of Commissive (X1), Operational Cost (X2), Total Equity (X3) and 2 output variables (Premium) (Y1) and Investment Revenue (Y2)). The results explain that there are 15 perfectly efficient DMUs (100%). And an inefficient of 24 DMU, consisting of 7 DMU conditions IRS and 17 DMU with DRS conditions. Of all the DMU observed, Prudential insurance is a life insurance company that is able to maintain its gradual efficiency level from 2013 to 2016 when compared to other life insurance in this observation. In general, the main factor inefficiency of life insurance industry in Indonesia (in observation) from 2012 to 2016 is from the output side. To be more efficient then life insurance companies should increase the value of premiums by 91% and investment income of 8%.

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