Two-Stage Evaluation of Life Insurance Industry in Taiwan Using Data Envelopment Analysis

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Abstract:

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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Advanced Materials Research (Volumes 468-471)

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2588-2598

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] A, Charnes, Cooper,W. W. & Rhodes, E. (1978).Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 12 (6),429-444.

DOI: 10.1016/0377-2217(78)90138-8

Google Scholar

[2] A. G. Noulas, T. Hatzigayios, J. Lazaridis, K. Lyroudi. (2001). Non-Parametric Production Frontier Approacj to the Study of Efficiency of Non-Life Companies in Greece. Journal of Financial Management and Analysis, 14 (1), 19-26.

Google Scholar

[3] A. L. Johnson , L. F. McGinnis. (2008). Outlier detection in two-stage semiparametric DEA models. European Journal of Operational Research, 187 ,p.629–635.

DOI: 10.1016/j.ejor.2007.03.041

Google Scholar

[4] Chou, G. R. (2005). Overview and prospect of Taiwan insurance industry in 2005. Taiwan Banking & Finance Quarterly, 6 (3), 65-80.

Google Scholar

[5] Fan, Q. G. (2011). Insurance: Principle and Practice. Chian Chen Culture: Taipei.

Google Scholar

[6] Hao, C. R., Chou, L. Y. (2002). Analysis of Taiwan Life Insurance Industry Efficiency. Collected Papers of the Third Annual Conference on Empirical Economics, Social Sciences Research Center, National Science Council, Page 1-24.

Google Scholar

[7] Huang, T. H., Kao. D. L., Chiang, L C., Liang, J. H. (2010). A Study of Technical Efficiency and Productivity Change on Taiwan's Life Insurance Companies with Quasi-Fixed Inputs. Soochow Journal of Economics and Business, 68, 1-38.

Google Scholar

[8] Huang, Q. H., Hou, Y. Y. (2000). Performance Evaluation of Credit Unions in Taiwan, Journal of Contemporary Accounting, 1 (1), 55-88.

Google Scholar

[9] J. C. Paradi, S. Rouatt & H. Zhu. (2011). Two-stage evaluation of bank branch efficiency using data envelopment analysis. Omega 39, 99–109.

DOI: 10.1016/j.omega.2010.04.002

Google Scholar

[10] Kao, D. L., Guo, W. L. (2005). Using data envelopment analysis to measure the performance of non-life insurance company's branches ~ A case study for m company. Collected Papers of the Third Management Thought and Scientific Seminar in 2005, Department of Business Administration, Ming Chuan University, I-196-213.

Google Scholar

[11] L. J. Kao, C. J. Lu & C. C. Chiu. (2011). Efficiency measurement using independent component analysis and data envelopment analysis. European Journal of Operational Research, 210, 310–317.

DOI: 10.1016/j.ejor.2010.09.016

Google Scholar

[12] Lo, J. W. (2010). Discussion on insurer's obligation to provide information. Law of Property and Economic Law, 24, 129-160.

Google Scholar

[13] Li, W. F., Fan, Y. J. (2010). A Study of Banking Industry in Taiwan: Application of Luenberger productivity indexes. Taiwan Economic Review, 38 (4), 593-627.

Google Scholar

[14] M . J. Farrell. (1957). The Measurement of productive Efficiency. Journal of the Royal Statistical Society, Series A, General, 120 (3), 253-281.

DOI: 10.2307/2343100

Google Scholar

[15] M. J. Farrell & M. Fieldhouse. (1962 ). Estimating efficient production functions under increasing returns to scale, Journal of the Royal Statistical Society, Series A (General),125 (2 ), 252-267.

DOI: 10.2307/2982329

Google Scholar

[16] S.C. Chang.,Y.W. Hwang & Y.N. Hu. (2009) Merger and Acquisition, Market Structure and Performance in Property-Liability Insurance: Evidence from the Taiwan Market. Journal of Risk Management, 11 (2) ,151-170

Google Scholar

[17] Wang, L. L., Peng, J. L., Chang, Y. H. (2006). The Impact of Bancassurance on the Efficiency Performance of Life Insurance Companies in Taiwan. NTU Management Review, 17 (1), 59-90.

Google Scholar

[18] Y. M.Wang, K. S. Chin (2010).Some alternative DEA models for two-stage process. Expert Systems with Applications, 37 , p.8799–8808.

DOI: 10.1016/j.eswa.2010.06.024

Google Scholar