Development of an investment efficiency evaluation model for waterworks maintenance through data envelopment analysis

2018 ◽  
Vol 104 ◽  
pp. 73-82
Author(s):  
Kibum Kim ◽  
Juyeop Kim ◽  
Sanghyuk Park ◽  
Jayong Koo
2021 ◽  
pp. 097215092110476
Author(s):  
Ram Pratap Sinha

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.


2012 ◽  
Vol 468-471 ◽  
pp. 2588-2598
Author(s):  
Hsien Ta Lin

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.


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