保險法(1929)。取自http://law.moj.gov.tw/LawClass/LawAll.aspx?PCode=G0390002
金融監督管理委員會。取自http://history.fsc.gov.tw/Fsc
保險業公開資訊觀測站。取自http://ins-info.ib.gov.tw/customer/announceinfo.aspx
財團法人保險事業發展中心。取自http://www.tii.org.tw/opencms/
瑞士再保險公司。http://www.swissre.com/
人壽保險業務統計年報,2010-2015。中華民國人壽保險商業同業公會。
人壽保險事業概況年報,2015。中華民國人壽保險商業同業公會。
支燕、胡均立、朱振儀(2009)。海峽兩岸壽險業動態效率比較研究:投入鬆弛變數調整方法的應用。經濟管理,31(5),29-35。
余永讚(2008)。中國壽險業經營效率動態分析。風險評論,1(1),29-44胡均立、尤雪娥、林芳麗(2012)。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。保險經營與制度,11(1),21-42。
徐中琦、許志忠(2011)。台灣壽險業經營效率之研究-資料包絡分析法之應用。台灣銀行季刊,62(2),42-67。
郝充仁、周林毅(2003)。台灣地區人壽保險業經營績效因素分析之研究,保險專刊,1(19),75-105。陳亞為、郝充仁、王文勇(2007)。考慮準固定投入下之經濟效率估計-應用資料包絡分析法於台灣壽險業。台灣風險與保險學會TRIA學術會議。
陳虹蒨、胡均立(2008)。經環境效果及統計噪音調整後的台灣地區人壽保險公司經營效率。保險經營與制度,7(2),189-206。曾真真、高子荃、何雍慶(2005)。以平衡計分卡觀點探討業務體系、人力資本對壽險業經營績效之影響。交大管理學報,25(1),179-204。黃旭男、吳國華(2001)。台灣地區壽險業經營績效之衡量。管理與系統,8(4),401-420。黃旭男、高棟樑(2005)。台灣地區產險業經營績效之評估:二階段資料包絡分析法之應用。保險專刊,21(1),57-59。
黃台心、高棟梁、姜麗智、梁嘉惠(2010)。我國壽險業考慮準固定投入後的效率與生產力變動分析。東吳經紀商學學報,(68),1-38。
盧永祥、王俊賢與李承鍹(2011)。台灣壽險公司技術效率之差異分析-共同邊界資料包絡法應用,經濟與管理論叢,7(1),73-100。
Abad, C., Thore, S. A., & Laffarga, J. (2004). Fundamental analysis of stocks by two‐stage DEA. Managerial and Decision Economics, 25(5), 231-241.
Bowlin, W. F. (1987). Evaluating the efficiency of US Air Force real-property maintenance activities. Journal of the Operational Research Society, 38(2), 127-135.
Barros, C. P., & Wanke, P. (2014). Insurance companies in Mozambique: A two-stage DEA and neural networks on efficiency and capacity slacks. Applied Economics, 46(29), 3591-3600.
Barros, C. P., Barroso, N., & Borges, M. R. (2005). Evaluating the efficiency and productivity of insurance companies with a Malmquist index: A case study for Portugal. The Geneva Papers on Risk and Insurance Issues and Practice, 30(2), 244-267.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Boyd, J. H., Graham, S. L., & Hewitt, R. S. (1993). Bank holding company mergers with nonbank financial firms: Effects on the risk of failure. Journal of Banking & Finance, 17(1), 43-63.
Barros, C. P., Nektarios, M., & Assaf, A. (2010). Efficiency in the Greek insurance industry. European Journal of Operational Research, 205(2), 431-436.
Cummins, J. D., & Turchetti, G. (1996). Productivity and technical efficiency in the Italian insurance industry (No. 96-10). Wharton School Center for Financial Institutions, University of Pennsylvania.
Cummins, J. D., & Zi, H. (1998). Comparison of frontier efficiency methods: An application to the US life insurance industry. Journal of Productivity Analysis, 10(2), 131-152.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Cummins, J. D., Tennyson, S., & Weiss, M. A. (1999). Consolidation and efficiency in the US life insurance industry. Journal of Banking & Finance, 23(2), 325-357.
Cummins, J. D., Weiss, M. A., Xie, X., & Zi, H. (2010). Economies of scope in financial services: A DEA efficiency analysis of the US insurance industry. Journal of Banking & Finance, 34(7), 1525-1539
Eling, M., & Luhnen, M. (2010a). Frontier efficiency methodologies to measure performance in the insurance industry: Overview, systematization, and recent developments. The Geneva Papers on Risk and Insurance Issues and Practice, 35(2), 217-265.
Eling, M., & Luhnen, M. (2010b). Efficiency in the international insurance industry: A cross-country comparison. Journal of Banking & Finance, 34(7), 1497-1509.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290.
Färe, R., & Whittaker, G. (1996). An intermediate input model of dairy production using complex survey data. Journal of Agricultural Economics, 46(2), 201-213.
Färe, R., Grosskopf, S., & Whittaker, G. (2007). Network DEA. In J. Zhu & W. Cook (Eds.), Modeling data irregularities and structural complexities in data envelopment analysis (pp. 209–240). New York: Springer.
Fried, H. O., Schmidt, S. S., & Yaisawarng, S. (1999). Incorporating the operating environment into a nonparametric measure of technical efficiency. Journal of Productivity Analysis, 12(3), 249-267.
Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 17(3), 237-250.
Hardwick, P. (1997). Measuring cost inefficiency in the UK life insurance industry. Applied Financial Economics, 7(1), 37-44.
Hedley, B. (1977). Strategy and the “business portfolio.” Long Range Planning, 10(1), 9-15.
Hax, A. C., & Majluf, N. S. (1983). The use of the growth-share matrix in strategic planning. Interfaces, 13(1), 46-60.
Hu, J. L., Chang, T. P., & Zhu, X. H. (2014). A Comparative Study of Disaggregate Input Efficiency of Life Insurance Industry across the Taiwan Strait: An Application of the Stochastic Frontier Analysis. Soochow Journal of Economics and Business, (85), 41-61.
Hu, X., Zhang, C., Hu, J. L., & Zhu, N. (2009). Analyzing efficiency in the Chinese life insurance industry. Management Research News, 32(10), 905-920.
Jalali Naini, S. G., & Nouralizadeh, H. R. (2012). A two-stage DEA to analyze the effect of entrance deregulation on Iranian insurers: a robust approach. Mathematical Problems in Engineering, 2012,.1-24.
Jeng, V., Lai, G. C., & McNamara, M. J. (2007). Efficiency and demutualization: Evidence from the US life insurance industry in the 1980s and 1990s. Journal of Risk and Insurance, 74(3), 683-711.
Lovell, C. K., & Pastor, J. T. (1995). Units invariant and translation invariant DEA models. Operations Research Letters, 18(3), 147-151.
Mandal, S., & Dastidar, S. G. (2014). A DEA-investigation of efficiency of the Indian general insurance during recession. Journal of Advances in Management Research, 11(1), 115-136.
Mahlberg, B., & Url, T. (2010). Single Market effects on productivity in the German insurance industry. Journal of Banking & Finance, 34(7), 1540-1548.
Norman, M., & Stoker, B. (1991). Data envelopment analysis: the assessment of performance. NY: John Wiley & Sons, Inc.
Nourani, M., Devadason, E. S., Kweh, Q. L., & Lu, W. M. (2016). Business excellence: the managerial and value-creation efficiencies of the insurance companies. Total Quality Management & Business Excellence, 1-18.
Sabet, R., & Fadavi, A. (2013). Performance measurement of insurance firms using a two-stage DEA method. Management Science Letters, 3(1), 303-308.
Sexton, T. R., & Lewis, H. F. (2003). Two-stage DEA: An application to major league baseball. Journal of Productivity Analysis, 19(2), 227-249.
Seiford, L. M., & Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. Management Science, 45(9), 1270-1288.
Stiroh, K. J., & Rumble, A. (2006). The dark side of diversification: The case of US financial holding companies. Journal of Banking & Finance, 30(8), 2131-2161.
Shahroudi, K., Taleghani, M., & Mohammadi, G. (2012). Application of two-stage DEA technique for efficiencies measuring of private insurance companies in Iran. International Journal of Applied Operational Research, 1(3), 91-104.
Tobin, J. (1958). Estimation of relationships for limited dependent variables.Econometrica, 26(1), 24-36.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.
Tone, K., & Tsutsui, M. (2009). Network DEA: a slacks-based measure approach.European Journal of Operational Research, 197(1), 243-252.
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. Mathematical and Computer Modelling, 43(7), 910-919.