Analysing the Technical Efficiency and Productivity Change of Life Insurance Companies in India

2016 ◽  
pp. 33-72 ◽  
Author(s):  
Tapas Kumar Parida ◽  
Debashis Acharya
Keyword(s):  
Technical Efficiency ◽  
Life Insurance ◽  
Insurance Companies ◽  
Productivity Change ◽  
Change Of Life ◽  
Efficiency And Productivity

The Effect of Branch Office Locations on Technical Efficiency: Evidence from the Indian Life Insurance Industry

2021 ◽  
pp. 097215092110274
Author(s):  
Shoaib Alam Siddiqui
Keyword(s):  
Technical Efficiency ◽  
Life Insurance ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Operating Characteristics ◽  
Life Insurers ◽  
Life Insurance Industry ◽  
Double Bootstrap ◽  
Branch Office ◽  
Efficiency And Productivity

The purpose of this article is to investigate the efficiency and productivity growth of Indian life insurance industry and to assess the effect of branch office locations on efficiency. This study has analysed the efficiency and productivity performance of all the 24 life insurance companies during the period from 2016 to 2019, using slack-based measures (SBM) of data envelopment analysis. SBM super-efficiency model is used to rank the fully efficient life insurers. Malmquist index is used to assess the productivity of life insurance companies. To assess the effect of branch office geographical locations on efficiency, double bootstrap regression has been used. The findings indicate that Indian life insurance industry experienced significant fluctuations in mean technical efficiency during the study period. Almost 50% of life insurers operated efficiently in one or more years during the study period. Only 3 out of 24 life insurers were found scale efficient. Interestingly, 50% of life insurers experienced growth during our study period. Double bootstrap regression analysis indicates that semi-urban and rural branch offices have positive effect on the efficiency of the life insurers. This study is first of its kind that has assessed the effect of branch office locations on the efficiency of life insurers. The study brings to light the operating characteristics, efficiencies and productivity of the Indian life insurance companies for the period from 2016 to 2019.

EFFICIENCY AND PRODUCTIVITY CHANGE IN FIELD CROP AND MILK FARMS IN LUBLIN PROVINCE IN 2014-2016

2018 ◽  
Vol XX (1) ◽  
pp. 137-142
Author(s):  
Alina Syp ◽  
Dariusz Osuch
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Dairy Farms ◽  
Productivity Change ◽  
Data Envelopment ◽  
Field Crop ◽  
Dea Model ◽  
Malmquist Indices ◽  
Efficiency And Productivity ◽  
Efficiency Indicators

The aim of the study was assessment of efficiency and productivity of farms in the Lublin province in the years 2014-2016. The analysis was based on the Data Envelopment Analysis (DEA) model oriented on inputs and Malmquist indices with its components. The calculations were made for medium-sized field and dairy farms that continuously collected data for the FADN system during the period under consideration. In our research all efficiency indicators for dairy farms were larger than for field crop farms. In the years 2014-2016, the average technical efficiency of dairy farms was 0.752, which means that in those farms it is possible to reduce inputs on average by 25% and the value of production will remain at the same level. In the case of field crop farms, inputs should be limited by 33%. The applied decomposition of calculated Malmquist indices allowed to define what factors influenced changes in productivity.

Performance Benchmarking of Indian Life Insurers

2015 ◽  
Vol 5 (2) ◽  
pp. 44-53
Author(s):  
Ram Pratap Sinha ◽  
Nitish Datta
Keyword(s):  
Technical Efficiency ◽  
Hybrid Model ◽  
Life Insurance ◽  
Operating Performance ◽  
Insurance Companies ◽  
Significant Progress ◽  
Unified Framework ◽  
Performance Benchmarking ◽  
Life Insurers ◽  
The Mean

In the last one decade, the life insurance companies operating in India have made significant progress in terms of business consolidation. In view of the same, it is of interest to make an enquiry about the operating performance of these companies. The present paper compares fifteen life insurance companies operating in India for the period 2005-06 to 2009-10 using the Hybrid Efficiency Model (Tone,2004). The Hybrid Model provides a unified framework for the estimation of technical efficiency integrating the radial and non-radial characterisation of inputs and outputs. The results from the study indicate that out of the fifteen in-sample life insurance companies, the number of technically efficient life insurers declined from 9 in 2005-06 to 4 in 2006-07 and further to 3 in 2007-08 and 2008-09. However, in 2009-10 the number increased to 5. The mean technical efficiency scores of the in-sample life insurers declined sharply between 2005-06 and 2006-07 and improved somewhat thereafter. However, it again declined in 2009-10 implying a greater divergence in performance.

Performance Benchmarking of the Indian Life Insurance Industry

2015 ◽  
pp. 616-625
Author(s):  
Ram Pratap Sinha ◽  
Nitish Datta
Keyword(s):  
Technical Efficiency ◽  
Life Insurance ◽  
Insurance Industry ◽  
Operating Performance ◽  
Insurance Companies ◽  
Unified Framework ◽  
Performance Benchmarking ◽  
Life Insurers ◽  
Life Insurance Industry ◽  
The Mean

In the last decade, the life insurance companies operating in India have made significant progress in terms of business consolidation. In view of the same, it is of interest to make an enquiry about the operating performance of these companies. This chapter compares 15 life insurance companies operating in India from the period 2005-06 to 2008-09 using the Hybrid Efficiency Model (Tone, 2004). The Hybrid Model provides a unified framework for the estimation of technical efficiency integrating the radial and non-radial characterisation of inputs and outputs. Out of the 15 in-sample life insurance companies, the number of technically efficient life insurers declined from 9 in 2005-06 to 4 in 2006-07 and further to 3 in 2007-08 and 2008-09. The mean technical efficiency scores of the in-sample life insurers declined sharply between 2005-06 and 2006-07 and improved somewhat thereafter.

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.

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