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%.

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.

scholarly journals Transforming Underwriting in the Life Insurance Industry

2019 ◽  
Vol 33 ◽  
pp. 9373-9380 ◽  
Author(s):  
Marc Maier ◽  
Hayley Carlotto ◽  
Freddie Sanchez ◽  
Sherriff Balogun ◽  
Sears Merritt
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Evaluation Framework ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Data Set ◽  
Life Score ◽  
Individual Level ◽  
Life Insurance Industry

Life insurance provides trillions of dollars of financial security for hundreds of millions of individuals and families worldwide. Life insurance companies must accurately assess individual-level mortality risk to simultaneously maintain financial strength and price their products competitively. The traditional underwriting process used to assess this risk is based on manually examining an applicant’s health, behavioral, and financial profile. The existence of large historical data sets provides an unprecedented opportunity for artificial intelligence and machine learning to transform underwriting in the life insurance industry. We present an overview of how a rich application data set and survival modeling were combined to develop a life score that has been deployed in an algorithmic underwriting system at MassMutual, an American mutual life insurance company serving millions of clients. Through a novel evaluation framework, we show that the life score outperforms traditional underwriting by 6% on the basis of claims. We describe how engagement with actuaries, medical doctors, underwriters, and reinsurers was paramount to building an algorithmic underwriting system with a predictive model at its core. Finally, we provide details of the deployed system and highlight its value, which includes saving millions of dollars in operational efficiency while driving the decisions behind tens of billions of dollars of benefits.

scholarly journals LIFE INSURANCE INDUSTRY IN INDIA-AN OVERVIEW

2016 ◽  
Vol 4 (10(SE)) ◽  
pp. 30-36
Author(s):  
N.Senthil Kumar ◽  
K. Selvamani
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Effective Control ◽  
Insurance Company ◽  
Marine Insurance ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurance Industry ◽  
The Government

The first insurer of life was the marine insurance underwriters who started issuing life insurance policies on the life of master and crew of the ship, and the merchants. The first insurance policy was issued on 18th June 1583,on the life of WILLIAM GIBBONS for the period of 12 months. The oriental life insurance company is the first insurance companies in India which is started on 1818 by Europeans at Kolkata. The Indian Life Assurance Companies Act, 1912 was the first statutory measure to regulate life business. In 1928, the Indian Insurance Companies Act was enacted to enable the Government to collect statistical information about both life and non-life business transacted in India by Indian and foreign insurers including provident insurance societies. In 1938, with a view to protecting the interest of the Insurance public, the earlier legislation was consolidated and amended by the Insurance Act, 1938 with comprehensive provisions for effective control over the activities of insurers. In 1956 the life insurance companies was nationalized. The LIC absorbed 154 Indian, 16 non-Indian insurers as also 75 provident societies—245 Indian and foreign insurers in all. The LIC had monopoly till the late 90s when the Insurance sector was reopened to the private sector.

scholarly journals PERBANDINGAN EFISIENSI PADA INDUSTRI ASURANSI JIWA SYARIAH DAN KONVENSIONAL DENGAN DATA ENVELOPMENT ANALYSIS (DEA)

2021 ◽  
Vol 4 (4) ◽  
pp. 503-521
Author(s):  
Foza Hadyu Hasanatina ◽  
Risanda Alirastra Budiantoro ◽  
Vicky Oktavia
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Life Insurance ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Decision Making Unit ◽  
Dea Analysis ◽  
Input Variables

This study aims to anlyze and comparing the efficiency of Islamic Life Insurance and Conventional Life Insurance in Indonesia. This study uses a quantitative non-parametric approach with Data Envelopment Analysis (DEA) with the assumption of Constant Return to Scale (CRS) and Variable Return to Scale (VRS) with input and output orientation. The samples are 3 Islamic Life Insurance (full fledge) and 3 Conventional Life Insurance that comply with the specified sample criteria during 2012-2019. The input variables used ared cost of commissive, operational cost, total equity, while the output variables is the premi income, and investment revenue. The results of the study indicate that the average result of DEA analysis for the entire DMU (Decision Making Unit) has not been efficient. In Conventional Life Insurance, the value of economic efficiency by 64,82 percent, technically efficiency for72,22 percent, and scale efficiency 81,4 percent, while in Islamic Life Insurance, the value of economic efficiency by 17,26 percent, technically efficiency for 53,71 persen, and scale efficiency 47,41 percent. Source of inefficiency Conventional and Islamic Life Insurance company is the sacle of operations and management of input to output is not optimal.

scholarly journals Analisis Efisiensi Asuransi Umum Syariah di Indonesia Tahun 2013-2015: Aplikasi Metode Data Envelopment Analysis (DEA)

2017 ◽  
Vol 4 (9) ◽  
pp. 757
Author(s):  
Yulia Wahyu Ningsih ◽  
Noven Suprayogi
Keyword(s):  
Data Envelopment Analysis ◽  
Insurance Companies ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Insurance Company ◽  
Average Value ◽  
General Insurance ◽  
Decision Making Unit ◽  
Dea Analysis ◽  
Input Variables

This study aims to analyze the efficiency of sharia general insurance companies in Indonesia. The input variables used are total assets, expenses, and payment of claims, while the output variable is the income and tabarru’ funds. The method were used to measure the level of efficiency is the Data Envelopment Analysis (DEA) with the assumption of Variable Return to Scale (VRS) with input and output orientation. The samples are 12 sharia general insurance companies during 2013-2015. The results of the study indicate that the average result of DEA analysis for the entire DMU (Decision Making Unit) has not been efficient. The average value of economic efficiency (CRS) by 0.978, technically efficiency (VRS) for 0.925, and scale efficiency for 0.945. Source of inefficiency sharia insurance company is the scale of operations and management of input to output is not optimal.

Ordnungspolitische Weichenstellungen für die anstehende Reform der Riester-Rente

2020 ◽  
Vol 69 (3) ◽  
pp. 239-249
Author(s):  
Axel Kleinlein
Keyword(s):  
Life Insurance ◽  
Financial Services ◽  
Service Providers ◽  
Insurance Industry ◽  
Financial Service ◽  
Mandatory Retirement ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurance Industry

Abstract The Riester pensions today face two main problems: First, life insurance industry in Germany faces the problem of inadequate solvency. Therefore, there is a need that we take the Riester pension not as a sole part of the life insurance sector and open it to the whole sector of financial services. Second, the previous regulation of the Riester pension is causing problems. Particularly the guarantee forces mandatory retirement with a life insurance company and the requirement of capital preservation. Therefore we have to review these two guarantee aspects. It is also important to limit costs and to simplify the funding system. The concept of the “Basisdepot-Vorsorge” solves these problems while it is based on promoting precisely those who want to save up for their retirement during their active career, no matter what kind of financial service is included in the accumulation or decumulation phase. To include all different financial service providers creates the needed economical competition to ensure better products for the Riester-Rente.

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