Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis

碩士 === 國立交通大學 === 經營管理研究所 === 99 === This thesis employs the two-production-stage data envelopment analysis (DEA) proposed by Seiford and Zhu (1999) to evaluate the efficiency of twenty-eight life insurance companies in Taiwan from 2005 to 2009. The Tobit regression is applied to analyze the differ...

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Main Authors: Lin, Fang-Li, 林芳麗
Other Authors: Hu, Jin-Li
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/24896461903944278536
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spelling ndltd-TW-099NCTU54570922015-10-13T20:37:09Z http://ndltd.ncl.edu.tw/handle/24896461903944278536 Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis 臺灣地區人壽保險公司的效率分析:兩階段資料包絡分析方法之應用 Lin, Fang-Li 林芳麗 碩士 國立交通大學 經營管理研究所 99 This thesis employs the two-production-stage data envelopment analysis (DEA) proposed by Seiford and Zhu (1999) to evaluate the efficiency of twenty-eight life insurance companies in Taiwan from 2005 to 2009. The Tobit regression is applied to analyze the differences in efficiency of life insurance companies. The approach for adjusting negative inputs or outputs proposed by Lovell and Pastor (1995) is also adopted. In the first production stage (sales stage), companies with financial holding background perform better and efficiency scores worse as years of companies and field personnel ratios increase. There is no significant difference in the efficiency scores between domestic and foreign life insurance companies in the first production stage. In the second production stage (profits stage), foreign life insurance companies perform better and efficiency scores worse as market shares increase. In the aggregation of these two stages, foreign life insurance companies perform better and efficiency scores worse as market shares increase. Hu, Jin-Li 胡均立 2011 學位論文 ; thesis 34 zh-TW
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description 碩士 === 國立交通大學 === 經營管理研究所 === 99 === This thesis employs the two-production-stage data envelopment analysis (DEA) proposed by Seiford and Zhu (1999) to evaluate the efficiency of twenty-eight life insurance companies in Taiwan from 2005 to 2009. The Tobit regression is applied to analyze the differences in efficiency of life insurance companies. The approach for adjusting negative inputs or outputs proposed by Lovell and Pastor (1995) is also adopted. In the first production stage (sales stage), companies with financial holding background perform better and efficiency scores worse as years of companies and field personnel ratios increase. There is no significant difference in the efficiency scores between domestic and foreign life insurance companies in the first production stage. In the second production stage (profits stage), foreign life insurance companies perform better and efficiency scores worse as market shares increase. In the aggregation of these two stages, foreign life insurance companies perform better and efficiency scores worse as market shares increase.
author2 Hu, Jin-Li
author_facet Hu, Jin-Li
Lin, Fang-Li
林芳麗
author Lin, Fang-Li
林芳麗
spellingShingle Lin, Fang-Li
林芳麗
Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis
author_sort Lin, Fang-Li
title Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis
title_short Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis
title_full Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis
title_fullStr Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis
title_full_unstemmed Efficiency Analysis of Life Insurance Companies in Taiwan : A Two-Production-Stage Data Envelopment Analysis
title_sort efficiency analysis of life insurance companies in taiwan : a two-production-stage data envelopment analysis
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/24896461903944278536
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