An Empirical Study of the Performance of Life Insurance Industry in Taiwan : Data Envelopment Analysis and Malmquist Productivity Index

碩士 === 國立高雄科技大學 === 風險管理與保險系 === 107 === This study uses the DEA model for performance evaluation of 19 sample life insurance companies for a six-year period (2011–2016) in Taiwan. This paper follows the approach- CCR, BCC and Malmquist Productivity Index models on the input-based efficiency and con...

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Bibliographic Details
Main Authors: CHANG, YU-YANG, 張宇揚
Other Authors: Lai, Li-Hua
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/nq653t
Description
Summary:碩士 === 國立高雄科技大學 === 風險管理與保險系 === 107 === This study uses the DEA model for performance evaluation of 19 sample life insurance companies for a six-year period (2011–2016) in Taiwan. This paper follows the approach- CCR, BCC and Malmquist Productivity Index models on the input-based efficiency and considers three inputs (operating expenses, commission expenses, capital), three outputs (premium income, group insurance premium income and financial receipts (expenses)) to examine the technical efficiency, pure technical efficiency and scale efficiency of 19 life insurance companies. We are going to explore the efficient analysis, slack variable analysis, and sensitivity analysis for compares the difference efficiencies between life insurance companies. We analyze the efficiency change of each company from 2011 to 2016 with Malmquist Productivity Index. The empirical results show that the Malmquist Productivity Index analysis shows that the total factor productivity change (TFP-ch) of life insurance industry has grown during the 2011-2014 period, but it has begun to decline between 2014 and 2016. In particular, the 2015-2016 recession is the most serious, especially in 2015-2016. The better company’s is highly dependent on the performance of its teams and have the robustly efficient units for six consecutive years such as Cathay Life, China Life and Chunghwa Post in Taiwan. A more robustly efficient of the DEA framework is that the efficiency results are require continuous reevaluation.