Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/92428
標題: 保險業效益估計運用資料包絡分析及共同邊界Malmquist生產力指數研究
Efficiency Estimation of Data Envelopment Analysis and Metafrontier Malmquist Productivity Index in Insurance Industry
作者: Tsai-yi Wang
王財驛
關鍵字: 效率估計;共同麥氏生產力指數;資料包絡分析;保險業;Efficiency Estimation;Metafrontier Malmquist Productivity Index;Data envelopment analysis;Insurance industry
引用: Aigner, D., C. A. K. Lovell, and Schmidt, P. (1977), Formulation and Estimation of Stochastic Frontier Production Function Models, Journal of Econometrics, 6, 21-37. Banker,R. D., 1993. Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation. Management Science 39(10), 1265–1273. Barros, P., Barroso, N., Borges, M. R., 2005. Evaluating the Efficiency and Productivity of Insurance Companies with a Malmquist Index: A Case Study for Portugal. Geneva Papers on Risk and Insurance 30(2), 244–267. Barros, P., Obijiaku, E. L., 2007. Technical Efficiency of Nigerian Insurance Companies. Working Paper No. 18, Department of Economics, Institute for Economics and Business Administration (ISEG), Technical University of Lisbon. Battese, G. E. and Rao, D. S. P. (2002), 'Technology Gap, Efficiency and a Stochastic Metafrontier Function,' International Journal of Business and Economics, 1, 87–93. Battese, G. E., Rao, D. S. P., and O'Donnell, C. J. (2004), 'A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating under Different Technologies,' Journal of Productivity Analysis, 2, 91–103. Berger, A. N., 1993. Distribution-Free Estimates of Efficiency of in the U.S. Banking Industry and Tests of the Standard Distributional Assumptions. Journal of Productivity Analysis 4(3), 261–292. Berger, A. N., Cummins, J. D., Weiss, M. A., 1997. The Coexistence of Multiple Distribution Systems for Financial Services: The Case of Property-Liability Insurance. Journal of Business 70(4), 515–546. Berger, A. N., Cummins, J. D., Weiss, M. A., Zi, H., 2000. Conglomeration Versus Strategic Focus: Evidence from the Insurance Industry. Journal of Financial Intermediation 9(4), 323–362. Berger, A. N., Humphrey, D. B., 1991. The Dominance of Inefficiencies Over Scale and Product Mix Economies in Banking.Journal of Monetary Economics 28(1), 117–148. Berger, A. N., Humphrey, d. B., and Pulley, L. B. (1996), 'do Consumers Pay for one-stop Banking? Evidence from an Alternative Revenue Function,' Journal of Banking and Finance, 20, 1601-1621. Bos, J. W. B. and Schmiedel, H. (2007), 'Is There a Single Frontier in a Single European Banking Market?' Journal of Banking and Finance, 31, 2081-2102. Bernstein, J. I., 1999. Total Factor Productivity Growth in the Canadian Life Insurance Industry: 1979–1989. Canadian Journal of Economics 32(2), 500–517. Bikker, J. A., van Leuvensteijn, M., 2008. Competition and Efficiency in the Dutch Life Insurance Industry. Applied Economics 40(16), 2063–2084. Boonyasai,T.,Grace,M.F.,Skipper, Jr., H. D., 2002.The Effect of Liberalization and Deregulation on Life Insurer Efficiency.Working Paper No. 02-2, Center for Risk Management and Insurance Research, Georgia State University, Atlanta. Brockett, P. L., Cooper, W. W., Golden, L. L., Rousseau, J. J., Wang, Y., 2004a. Evaluating SolvencyVersus Efficiency Performance and Different Forms of Organization and Marketing in US Property-Liability Insurance Companies. European Journal of Operational Research 154(2), 492–514. Brockett, P. L., Chang, R. C., Rousseau, J. J., Semple, J. H., Yang, C, 2004b.A Comparison of HMO Efficiencies as a Function of Provider Autonomy. Journal of Risk and Insurance 71(1), 1–19. Brockett, P. L., Cooper, W. W., Golden, L. L., Rousseau, J. J., Wang, Y., 2005. Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies.Journal of Risk and Insurance 72(3), 393–412. Byrnes, P. and Valdmanis, V. (1995), 'Analyzing technical and allocative efficiency of hospitals,' in Abraham Charnes, William W. Cooper, Arie Y. Lewin, and Lawrence M. Seiford(eds.), Data Envelopment Analysis: Theory, Methodology, and Application, Boston: Kluwer Academic Publisher. Chaffai, M. E., Ouertani, M. N., 2002. Technical Efficiency in the Tunisian Insurance Industry: A Comparison of Parametric and Non Parametric Time Variant Models. WorkingPaper, Research Unit on Production Econometrics, Sfax University. Charnes, A., Cooper, W. W., Lewin, A., Seiford, L., 1994. Data Envelopment Analysis: Theory, Methodology and Applications. Kluwer Academic Publishers, Boston, MA. Charnes, A., Cooper, W. W., Rhodes, E., 1978. Measuring the Efficiency of Decision Making Units. European Journal of Operational Research 2(6), 429–444. Carr, R. M., Cummins, J. D., Regan, L., 1999. Efficiency and Competitiveness in the U.S. Life Insurance Industry: Corporate, Product, and Distribution Strategies. In: Cummins, J. D., Santomero, A. M., eds., Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management. Kluwer Academic Publishers, Bos-ton, MA. Caves, D. W., Christensen, L. R.,Tretheway, M. W., 1980. Flexible Cost Functions for Multiproduct Firms. Review of Economics and Statistics 62(3), 477–482. Caves, D.W., Christensen, L. R., and Diewert,W. E. (1982), 'Multilateral comparisons of output, input, and productivity using superlative index numbers',Economic Journal, 92, 73–86. Chen, T. Y. and Yeh, T. L. (2000), 'A measurement of bank efficiency, ownership and productivity changes in Taiwan,' The Service Industries Journal, 20(1) , 95-109. Choi, P. B., Weiss, M. A., 2005. An Empirical Investigation of Market Structure, Efficiency, and Performance in Property-Liability Insurance. Journal of Risk and Insurance 72(4), 635–673. Choi, P. B., Weiss, M. A., 2008. State Regulation and the Structure, Conduct, Efficiency and Performance of US Auto Insurers. Journal of Banking and Finance 32(1), 134–156. Christensen, L. R., Jorgenson, D. W., Lau, L. J., 1973. Transcendental Logarithmic Production Frontiers. Review of Economics and Statistics 55(1), 28–45. Coelli, T., Prasada, Rao,D.S., and Battese, B. G. (1998), An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, Boston. Cook, P. and Uchida, Y. (2002), 'Productivity growth in East Asia: A reappraisal', Applied Economics, 34, 1195–1207. Cooper, W. W., Seiford, L. M., Tone, K., 2007. Data Envelopment Analysis: A Com-prehensive Text with Models, Applications, References and DEA-Solver Software. Springer, Boston, MA. Cummins, J. D., Weiss, M. A., 2000. Analyzing Firm Performance in the Insurance Industry Using Frontier Efficiency Methods. In: Dionne, G., ed., Handbook of Insurance Economics. Kluwer Academic Publishers, Boston, MA. Cummins, J. D., Weiss, M. A., Zi, H., 1999b. Organizational Form and Efficiency: The Coexistence of Stock and Mutual Property-Liability Insurers. Management Science 45(9), 1254–1269. Cummins, J. D., Weiss, M. A., Zi, H., 2007. Economics of Scope in Financial Ser-vices: A DEA Bootstrapping Analysis of the US Insurance Industry. Working Paper, The Wharton School, Philadelphia, PA. Cummins, J. D., Weiss, M. A., Xie, X., and Zi, H. (2010), 'Economies of Scope in Financial Services: A DEA Efficiency Analysis of the US Insurance Industry,' Journal of Banking and Finance, 34, 1525-1539. Cummins, J. D., Xie, X., 2008. Mergers and Acquisitions in the US Property-Liability Insurance Industry: Productivity and Efficiency Effects. Journal of Banking and Finance 32(1), 30–55. Davutyan, N., Klumpes, P. J. M., 2008. Consolidation and Efficiency in the Major European Insurance Markets: A Non Discretionary Inputs Approach. Working Paper, Imperial College, London. Delhausse,B., Fecher, ., Pestieau, P., 1995. Measuring Productive Performance in the Non-Life Insurance Industry: The Case of French and Belgian Markets. Tijdschrift voor Economie en Management 40(1), 47–69. Diacon, S. R., 2001. The Efficiency of UK General Insurance Companies. Working Paper, Centre for Risk & Insurance Studies, University of Nottingham. Diacon, S. R., Starkey, K., O'Brien, C., 2002. Size and Efficiency in European Long-Term Insurance Companies: An International Comparison. Geneva Papers on Risk and Insurance 27(3), 444–466. Diboky, F., Ubl, E., 2007. Ownership and Efficiency in the German Life Insurance Market: A DEA Bootstrap Approach. Working Paper, University of Vienna. Donni, O., Fecher, F., 1997. Efficiency and Productivity of the Insurance Industry in the OECD Countries. Geneva Papers on Risk and Insurance 22, 523–535. Eling, M., Schmeiser, H., Schmit, J. T., 2007. The Solvency II Process: Overview and Critical Analysis. Risk Management and Insurance Review 10(1), 69–85. Eling, M., Luhnen,M 2010.Efficiency in the international insurance industry: A cross-country comparison.Journal of Banking & Finance 34(1),1497–1509 Ennsfellner, K. C., Lewis, D., Anderson, R. I., 2004. Production Efficiency in the Austrian Insurance Industry: A Bayesian Examination. Journal of Risk and Insurance 71(1), 135–159. Erhemjamts, O., Leverty, J. T., 2007. The Demise of the Mutual Organizational Form: An Investigation of the Life Insurance Industry. Working Paper, University of Iowa. , R., Grosskopf, S., Norris, M., and Zhang, Z. (1994), Productivity growth, technical progress, and efficiency change in industrialized countries, American Economic Review, 84:66–83. Farrell, M. J., 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistical Society 120(3), 253–282. Fecher, F., Kessler, D., Perelman, S., Pestieau, P., 1993.Productive Performance in the French Insurance Industry. Journal of Productivity Analysis 4(1–2), 77–93. Fecher, F., Perelman, S., Pestieau, P., 1991. Scale Economics and Performance in the French Insurance Industry. Geneva Papers on Risk and Insurance 16, 315–326. Fenn, P., Vencappa, D., Diacon, S., Klumpes,P., O'Brien, C., 2008. Market Structure and the Efficiency of European Insurance Companies: A Stochastic Frontier Analysis. Journal of Banking and Finance32(1), 86–100. Fukuyama, H., 1997. Investigating Productive Efficiency and Productivity Changes of Japanese Life Insurance Companies. Pacific-Basin Finance Journal5(4), 482–509. Fukuyama, H.,Weber, W. L., 2001.Efficiency and Productivity Change of Non-Life Insurance Companies in Japan. Pacific Economic Review6(1), 129–146. Gallant, A. R., 1982.Unbiased Determination of Production Technologies. Journal of Econometrics 20(2), 285–323. Gardner, L. A., Grace, M. F., 1993.X-Efficiency in the US Life Insurance Industry. Journal of Banking and Finance 17(2–3), 497–510. Grace, M. F., Timme, S. G., 1992.An Examination of Cost Economies in the United States Life Insurance Industry. Journal of Risk and Insurance 59(1), 72–103. Greene, W. H., 1993.The Econometric Approach to Efficiency Analysis. In: Fried, H. O., Lovell, C. A. K., Schmidt, S. S., eds., The Measurement of Productive Efficiency: Techniques and Applications. Oxford University Press, Oxford. Greene, W. H., Segal, D., 2004.Profitability and Efficiency in the U.S. Life Insurance Industry. Journal of Productivity Analysis 21(3), 229–247. Grosskopf,S., 1993. Efficiency and Productivity. In: Fried, H. O., Lovell, C. A. K., Schmidt, S. S., eds., The Measurement of Productive Efficiency: Techniques and Applications. Oxford University Press, Oxford. Hancock, D., 1985. The Financial Firm: Production with Monetary and Non-Monetary Goods. Journal of Political Economy 93(5), 859–880. Hao,J. C. J., 2007. Efficiency Test on Taiwan's Life Insurance Industry Using X-Efficiency Approach. Information and Management Sciences 18(1), 37–48. Hao, J. C. J., Chou, L. Y., 2005. The Estimation of Efficiency for Life Insurance In-dustry: The Case in Taiwan. Journal of Asian Economics 16(5), 847–860. Jeon, B.M. and Sickles, R. C. (2004), The role of environmental factors in growth accounting, Journal of Applied Econometrics, 19, 567–591. Hardwick, P., 1997.Measuring Cost Inefficiency in the UK Life Insurance Industry. Applied Financial Economics 7(1), 37–44. Hardwick,P., Adams, M., Zou, H., 2004. Corporate Governance and Cost Efficiency in the United Kingdom Life Insurance Industry. Working Paper, Bournemouth University. Hirao,Y., Inoue, T., 2004.On the Cost Structure of the Japanese Property-Casualty Insurance Industry. Journal of Risk and Insurance 71(3), 501–530. Huang, C., Liu, J., 1994.Estimation of a Non-Neutral Stochastic Frontier Production Function. Journal of Productivity Analysis 5(2), 171–180. Huang,W., 2007. Efficiency in the China Insurance Industry: 1999–2004. Working Paper, University of Toronto. Hussels, S., Ward, D. R., 2006. The Impact of Deregulation on the German and UK Life Insurance Markets: An Analysis of Efficiency and Productivity Between 1991–2002.Working Paper, Cranfield Research Paper Series (4). Hwang, S. N., Kao, C.,2008.Using Two-Stage DEA to Measure Managerial Efficiency Change of Non-Life Insurance Companies in Taiwan. International Journal of Management and Decision Making 9(4), 377–401. Hwang, S. N., Kao, C., 2008b. Efficiency Decomposition in Two-Stage Data Envelopment Analysis: An Application to Non-Life Insurance Companies in Taiwan. European Journal of Operational Research 185(1), 418–429. Hwang, T., Gao, S. S., 2005.An Empirical Study of Cost Efficiency in the Irish Life Insurance Industry.International Journal of Accounting, Auditing and Perfor-mance Evaluation 2(3), 264–280. Jeng,V., Lai, G. C., 2005. Ownership Structure, Agency Costs, Specialization, and Efficiency: Analysis of Keiretsu and Independent Insurers in the Japanese Nonlife Insurance Industry. Journal of Risk and Insurance 72(1), 105–158. Jeng,V., Lai, G. C., McNamara, M. J., 2007. Efficiency and Demutualization: Evi-dence from the U.S. Life Insurance Industry in the 1980s and 1990s. Journal of Risk and Insurance 74(3), 683–711. Klumpes, P. J. M., 2004. Performance Benchmarking in Financial Services: Evidence from the UK Life Insurance Industry. Journal of Business 77(2), 257–274. Kumbhakar,S. C. and Wang, H. J. (2005), 'Estimation of growth convergence using a stochastic production frontier approach,' Economics Letters, 88, 300-305. Klumpes, P. J. M., 2007.Consolidation and Efficiency in the Major European Insurance Markets.Working Paper, Imperial College, London. Kumbhakar,S.C., Lovell, C. A. K., 2000.Stochastic Frontier Analysis. Cambridge University Press. Kruger, J. J., (2003), The global trends of total factor productivity; Evidence from the nonparametric Malmquist index approach, Oxford Economic Paper, 55(2), 265-286. Leverty, T. J., Grace, M. F., 2008.Issues in Measuring the Efficiency of Property-Lia-bility Insurers. Working Paper, University of Iowa. Leverty,T., Lin, Y., Zhou, H., 2004.Firm Performance in the Chinese Insurance Industry. Working Paper, University of Iowa. Lovell, C. A. K., 1993,The Measurement of Productive Efficiency: Techniques and Applications, New York: Oxford University Press. Mahlberg, B., Url, T., 2000. The Transition to the Single Market in the German In-surance Industry.Working Paper,Austrian Institute of Economic Research. Mahlberg, B., Url, T., 2003.Effects of the Single Market on the Austrian Insurance Industry. Empirical Economics 28(4), 823–838. Mansor, S. A., Radam, A., 2000.Productivity and Efficiency Performance of the Malaysian Life Insurance Industry. Jurnal Ekonomi Malaysia 34(1), 93–105. Mayers, D., Smith, C. W., 1988. Ownership Structure Across Lines of Property-Casualty Insurance. Journal of Law and Economics 31(2), 351–378. Meador, J. W., Ryan, Jr., H. E., Schellhorn, C. D., 2000. Product Focus Versus Diversification: Estimates of X-Efficiency for the US Life Insurance Industry.Working Paper, Wharton Financial Institutions Center, University of Pennsylvania. Mester, L. J., 1991. Agency Costs Among Savings and Loans. Journal of Financial Intermediation 1(3), 257–278. Morrison, C. J., Berndt, E. R., 1982.Short-Run Labor Productivity in a Dynamic Model. Journal of Econometrics 16(3), 339–365. Noulas,A. G., Hatzigayios, T., Lazaridis, J., Lyroudi, K., 2001. Non-Parametric Pro-duction Frontier Approach to the Study of Efficiency of Non-Life Insurance Com-panies in Greece. Journal of Financial Management and Analysis 14(1), 19–26. Mahlberg, B. and Urt, T. (2003), Effects of the Single Market on the Austrian Insurance Industry, Empirical Economics, 28, 813-838. Malmquist, S. (1953),Index numbers and indifference curves, Trabajos de Estatistica, 1953, 209–242. Meeusen, W. and Broeck, J. (1977), Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error, International Economic Review, 18, 435-444. Nishimizu, M. and Page, J. M., Jr. (1982), Total factor productivity growth, technological progress and technical efficiency change: Dimensions of productivity change in Yugoslavia, 1965–1978, Economic Journal, 92, 920–936. O'Donnell, C. J., Rao, D. S. P., and Battese, G. E. (2008), MetafrontierFrameworks for the Study of firm-Level Efficiencies and Technology Ratios, Empirical Economics, 34, 231-255. Qiu, S., Chen, B., 2006. Efficiencies of Life Insurers in China—An Application of Data Envelopment Analysis. Working Paper, Temple UniversityPulley, L. B., Braunstein, Y., 1992. A Composite Cost Function for Multiproduct Firms with an Application to Economies of Scope in Banking.Review of Economics and Statistics74(2), 221–230. Rai, A., 1996. Cost Efficiency of International Insurance Firms. Journal of Financial Services Research 10(3), 213–233. Rees, R., Kessner,E., Klemperer, P., Matutes, C., 1999.Regulation and Efficiency in European Insurance Markets. Economic Policy 14(29), 363–397. Ryan, Jr., H. E., Schellhorn, C. D., 2000. Life Insurer Cost Efficiency Before and After Implementation of the NAIC Risk-Based Capital Standards. Journal of Insurance Regulation 18(3), 362–384. Schmidt, P., Sickles, R. C., 1984.Production Frontiers and Panel Data. Journal of Business and Economic Statistics 2(4), 299–326. Simar, L., Wilson, P. W., 1998. Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models. Management Science 44(11), 49–61. Simar L., Wilson P., 2007.Estimation and Inference in Two-Stage, Semi-Parametric Models of Production Processes. Journal of Econometrics 136(1), 31–64. Toivanen, O.,1997.Economies of Scale and Scope in the Finnish Non-Life Insurance Industry. Journal of Banking and Finance 21(6), 759–779. Tone, K., Sahoo, B. K., 2005. Evaluating Cost Efficiency and Returns to Scale in the Life Insurance Corporation of India Using Data Envelopment Analysis. Socio-Economic Planning Sciences 39(4), 261–285. Trigo Gamarra, L., 2008. The Effects of Liberalization and Deregulation on the Performance of Financial Institutions: The Case of the German Life Insurance Market. Working Paper, University of Rostock. Trigo Gamarra, L., Growitsch, C., 2008. Single- versus Multi-Channel Distribution Strategies in the German Life Insurance Market: A Cost and Profit Efficiency Analysis. Working Paper, University of Rostock. Tulkens, H., 1993. On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts, and Urban Transit. Journal of Productivity Analysis 4(1–2), 183–210. Ray, S. C. and Desli, E. 1997, Productivity growth, technical progress and efficiency change in industrialized countries: Comment, American Economic Review, 87, 1033–1039. Sharma, K. R. and Leung, P. S. 2000, Technical Efficiency of Carp Pond Culture in South Asia: An Application of Stochastic Meta-Production Frontier Model,' Aquaculture Economics and Management, 4, 169-189. Shaw, E. 1973,Financial Deepening in Economic Development, New York; Oxford University Press. Shephard, R. W. 1970 Theory of Cost and Production Function, Princeton; Princeton University Press. Turchetti, G., Daraio, C., 2004. How Deregulation Shapes Market Structure and In-dustry Efficiency: The Case of the Italian Motor Insurance Industry. The Geneva Papers on Risk and Insurance - Issues and Practice 29(2), 202–218 Vannet, R. V. (2002), 'Cost and Profit Efficiency of Financial Conglomerates and Universal Banks in Europe,' Journal of Money, Credit and Banking, 34(1), 254-282. Van den Broeck J., Koop G., Osiewalski J., Steel M. F. J., 1994. Stochastic Frontier Models: A Bayesian Perspective. Journal of Econometrics 61, 273–303. Vencappa, D., Fenn, P., Diacon, S.,2008. Parametric Decomposition of Total Factor Productivity Growth in the European Insurance Industry: Evidence from Life and Non-Life Companies.Working Paper, University of Nottingham. Ward, D., 2002.The Costs of Distribution in the UK Life Insurance Market. Applied Economics 34(15), 1959–1968. Weiss, M. A., 1986. Analysis of Productivity at the Firm Level: An Application to Life Insurers. Journal of Risk and Insurance 53(1), 49–84. Weiss, M. A., 1991a.Efficiency in the Property-Liability Insurance Industry. Journal of Risk and Insurance 58(3), 452–479. Weiss, M. A., 1991b.International P/L Insurance Output, Input, and Productivity Comparisons. Geneva Papers on Risk and Insurance Theory 16(2), 179–200. Worthington, A. C., Hurley, E. V., 2002. Cost Efficiency in Australian General Insurers: A Non-Parametric Approach. British Accounting Review 34(2), 89–108. Wu, D., Yang, Z., Vela, S., Liang, L., 2007.Simultaneous Analysis of Production and Investment Performance of Canadian Life and Health Insurance Companies Using Data Envelopment Analysis. Computers & Operations Research 34(1), 180–198. Yang, Z., 2006.A Two-Stage DEA Model to Evaluate the Overall Performance of Canadian Life and Health Insurance Companies and Computer. Mathematical and Computer Modelling 43(7–8), 910–919. Yuengert, A. M., 1993. The Measurement of Efficiency in Life Insurance: Estimates of a Mixed Normal-Gamma Error Model. Journal of Banking and Finance 17(2–3), 483–496.
摘要: 
研究保險業經營效益,文獻大多以非參數法估計效率,而保險業長期的經營效率可能會發生生產邊界移動,故在評估保險公司生產力的變動,可將技術變動及效率變動納入考量。本文採用非參數法的資料包絡分析架構,評估2005年至2011年美國、英國、日本、中國大陸、香港及台灣產險業及壽險業生產力之變動。並在變動規模假設下,推導以投入為導向共同邊界Malm1uist生產力指數模型,並以該模型共同邊界Malmquist生產力指數模型進行拆解,經由效率變動指數、技術缺口比率變動指數等因素進行分析,以便探討其經濟意涵。本文應用該模型評估六個主要保險市場產險與壽險業共同邊界下之生產面Malmquist變動因素,探討保險產業面臨外在經濟因素迅速變遷,保險市場結構及運作模式的改變,競爭日益加劇與金融海嘯的影響下,實證結果發現,全體保險產業在研究期間美國之效率值最佳,英國之效率值不佳,六個保險市場在金融海嘯及歐債危機衰退幅度最嚴重;產險公司與壽險公司二個群組的比較結果發現,壽險業表現優於產險業;其次,以Tobit迴歸檢視市場力量、費用偏好及多元經濟跨業經營與效率值是否顯著相關,本研究結果對市場力量及費用偏好並無顯著相關;支持具集團背景的公司之經營績效較佳;在多元化經濟跨業經營相關程度則認為,壽險業跨業經營之效益並無顯著呈現,跨業經營健康險及傷害險比重高,其經營效率愈低,支持策略專注假說;產險業跨業經營之效益顯著呈現,跨業經營健康險及傷害險比重高,其經營效率愈高,顯示支持多元跨業經營具效率。藉此結論提供保險業擬定經營策略參考,使保險業經營可擴展保險業共同生產邊界、加強規模調整能力並強化技術效率,以提升保險業競爭力。

This dissertation introduces a means of analyzing productivity under a non-parametrically -- derived variable return-to-scale measurement using 'data envelopment analysis' and the 'production and cost structure Metafrontier Malmquist productivity index model'. Insurance industry data from six major countries spanning from 2005 to 2011 is applies to empirically evaluate the proposed method. The data envelopment analysis measures technical efficiency, allocative efficiency and cost efficiency. Furthermore, the Metafrontier Malmquist productivity index model is decomposed into six sources including pure technical efficiency change、technical gap ratio change、scale efficiency change、scale gap ratio change、technical change and potential technological relative change. This study estimates the efficiency change factor thus enabling insurers to differentiate group frontier from meta-frontier within the broad definition of'catch-up'(Färe et al,1994). These decomposition processes should assist insurers in obtaining a comprehensive understanding of operational performance, and in improving future competitiveness. Furthermore, this paper describes the insurance industry performance by testing the market power, strategic focus and conglomeration hypothesis on insurance industry data. The results indicate that US insurance industry performs greater efficiency relative to the other five countries, UK insurance industry performs worse efficiency relative to the other five countries, and the Metafrontier Malmquist productivity index of Life/Health insurers is superior to that of Property/Casualty insurers. The financial crisis was found to have a significant impact on integration efficiency and, according to Metafrontier analysis, Life/Health insurers outperform Property/Casualty insurer in terms of operational management, technical efficiency and cost efficiency. In addition, the proposed approach provides a fuller picture of the root sources of the productivity change which uses the Metafrontier approach under the Variable Return Scale to provide more useful information to insurance company managers and insurance commissioner. Furthermore, accumulating practicale experience can provide benefits for Property/Casualty and Life/Health insurers seeking to expand their operations into new areas. To improve the competitiveness, insurers should consider how to expand the production Metafrontier, strengthen scale adjust ability and enhance technical efficiency. The empirical results not support the market power hypothesis, meaning that financial holding companies are low-efficiency in terms of market share. There is evidence to support conglomeration hypothesis, that is, the insignificant amount of cross-sector business in accident/health insurance indicates low operational efficiency (supporting strategic focus hypothesis) in the Life/Health insurance industry for most countries. The significant amount of cross-sector business in accident/health insurance indicates high operational efficiency in the Property/Casualty insurance industry, thus supporting conglomeration hypothesis.
URI: http://hdl.handle.net/11455/92428
其他識別: U0005-2905201415011200
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