| Reference: | 參考文獻
[1] 徐中琦、許志忠 (2011)，「臺灣壽險業經營效率之研究-資料包絡分析法之應用」，《臺灣銀行季刊》，第62卷第2期
[2] 胡均立、尤雪娥與林芳麗 (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》，第11卷第1期，21-42 頁
[3] 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》，4，401-419頁
[4] 郝充仁、周林毅 (2003)，「台灣壽險業經營效率與規模經濟之研究」，第四屆全國實證經濟學論文研討會
[5] 劉純之 (1994)，「壽險公司經營效率評估－本國與外商公司的比較分析」，《保險專刊》，114-126頁
[6] 劉純之、李君屏 (1995)，「經濟規模與壽險公司經營效率--兼論資料包絡分析法」，《壽險季刊》，第95期，19-28頁
[7] 葉彩蓮、陳澤義 (2000)，「壽險業資源使用效率之衡量」，《臺灣銀行季刊》，322-341頁
[8] 盧永祥、王俊賢與李丞鍹 (2011)，「臺灣壽險公司技術效率之差異分析－共同邊界資料包絡法之應用」，《經濟與管理論叢》，7(1)，73-100頁
[9] 黃旭男與高棟梁 (2003)，「台灣地區產險公司經營績效之評估－兩階段資料包絡分析法的應用」，銘傳大學管理科學研究所博士論文
[10] 王毓維 (2002)，「台灣人壽保險產業成本效率分析」，朝陽科技大學財務金融研究所碩士論文
[11] 李君屏 (1994)，「壽險公司經營效率之衡量-資料包絡分析法的應用」 ，逢甲大學保險學研究所碩士論文
[12] 吳飛美 (2008)，「臺灣壽險公司競爭策略與經營效率之研究」，東吳大學商用數學系碩士論文
[13] 游麗真 (2005)，「運用兩階段 DEA 評估台灣地區壽險公司之經營效率」，淡江大學保險學系保險經營碩士班碩士論文
[14] 楊慧琦 (2003)，「應用資料包絡法在台灣壽險業經營效率分析之研究」，朝陽科技大學財務金融系碩士論文
[15] 鄭秀娟 (1996)，「台灣地區壽險業經營績效之研究」，銘傳大學管理科學研究所碩士論文
[16] Afza, T. and M. J. A. Asghar (2012), “Financial reforms and efficiency in the insurance companies of Pakistan,” African Journal of Business Management, Vol.6, pp. 8957-8963
[17] Aigner, D., C. A. K. Lovell and P. Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models,” Journal of Econometrics, 6, pp. 21-37
[18] Allen, L. and A. Rai (1996), “Operational Efficiency in Banking: An International Comparison,” Journal of Banking and Finance, Vol. 20, pp. 655-672
[19] Amsler, C., A. Prokhorov and P. Schmidt (2014), “Using Copulas to Model Time Dependence in Stochastic Frontier Models,” Econometric Reviews, 33(5-6), pp. 497-522.
[20] Atkinson, S.E. and C. Cornwell (1993), “ Estimation of technical efficiency with panel data: A dual approach,” Journal of Econometrics, 59, pp. 257-262
[21] Barros, C. P., M. Nektarios and A. Assaf (2010), “Efficiency in the Greek insurance industry,” European Journal of Operational Research, 205, pp. 431-436
[22] Battese, G. E. and T. J. Coelli (1992), “Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India,” Journal of Productivity Analysis, vol. 3, pp. 153-169
[23] Battese, G. E. and T. J. Coelli (1995), “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data,” Empirical Economics, Vol. 20, pp. 325-332
[24] Chen, T. Y. (2002), “Measuring Operation, Market and Financial Efficiency in the Management of Taiwan`s Banks,” Services Marketing Quarterly, 24, pp.15 – 27
[25] Cummins, J. D. and H. Zi (1998), “Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry,” Journal of Productivity Analysis, 10, pp. 131-152
[26] Cummins, J. D., S. Tennyson, and M. A. Weiss (1999), “Consolidation and Efficiency in the US Life Insurance Industry,” Journal of Banking and Finance, Vol.23, pp. 325-357
[27] Färe, R. S., S. Grosskopf, and G. Whittaker (2005), “Network DEA,” Discussing Paper, Chapter 9
[28] Fecher, F., D. Kessler, and P. Pestieau (1993), “Productive Performance of the French Insurance Industry,” The Journal of Productivity Analysis, Vol.4, pp. 77-93
[29] Fenn, P., D. Vencappa, S. Diacon, P. Klumpes and C. O’Brien (2008), “Market structure and the efficiency of European insurance companies: A stochastic frontier analysis,” Journal of Banking & Finance, 32, pp. 8-100
[30] Greene, W. (2005), “Fixed and Random Effects in Stochastic Frontier Models,” Journal of Productivity Analysis, 23, pp. 7-32
[31] Greene, W. H. and D. Segal (2004), “Profitability and Efficiency in the U.S. Life Insurance Industry,” Journal of Productivity Analysis, 21, pp. 229-247
[32] Hardwick, P. (1997), “Measuring Cost Inefficiency in the UK Life Insurance Industry,” Applied Financial Economics, 7(1), pp. 37-44.
[33] Holod, D. and H.F. Lewis (2011), “Resolving the deposit dilemma: A new DEA bank efficiency model,” Journal of Banking and Finance, 35(11), 2801-2810
[34] Huang, T. H., K. C. Chen and C. I. Lin (2013), “An Extension from Network DEA to Copula-Based Network SFA,” Working Paper
[35] Kao, C. and S. N. Hwang (2008), “Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan,” European Journal of Operational Research, pp. 418-429
[36] Kumbhakar, S. C. and C. A. K. Lovell (2000), “Stochastic Frontier Analysis,” Cambridge University Press, Cambridge
[37] Lai, H. P. and C. J. Huang (2013), “Maximum Likelihood Estimation of Seemingly Unrelated Stochastic Frontier Regressions,” Journal of Productivity Analysis, 40(1), 1-14.
[38] Luo, X. (2001), “Evaluating the profitability and marketability efficiency of large banks An application of data envelopment analysis,” Journal of Business Research, 56, pp. 627-635
[39] Meeusen, W. and J. V. D. Broeck (1977), “Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error,” International Economic Review, 18, pp. 435-444
[40] Mehdi, R. E. and C. M. Hafner (2014), “Inference in stochastic frontier analysis with dependent error terms, ”Mathematics and Computers in Simulation, 102, pp. 131-143
[41] Poonkham, K. and S. Sriboonchitta (2013), “Efficiency of convention hotels in Thailand: An analysis using stochastic frontier with copula,” The Empirical Econometrics and Quantitative Economics Letters , 2(3)
[42] Repkine, A. (2013) “A copula-based approach to the simultaneous estimation of group and meta-frontiers by constrained maximum likelihood,” Australian Journal of Agricultural and Resource Economics, pp. 90-110.
[43] Ritter, C. and L. Simar (1997), “Pitfalls of Normal-Gamma Stochastic Frontier Models,” Journal of Productivity Analysis, 8, pp. 167-182
[44] Seiford, L. M. and J. Zhu (1999), “ Profitability and Marketability of the Top 55 U.S. Commercial Banks,” Management Science, 45(9), pp. 1270-1288
[45] Sexton, T.R. and H.F. Lewis (2003),“ Two-stage DEA: An application to major league baseball,” Journal of Productivity Analysis, 19, pp. 227-249
[46] Shahroudi, K., M. Taleghani and G. Mohammadi (2012), “Application of Two-Stage DEA Technique for Efficiencies Measuring of Private Insurance Companies in Iran,” International Journal of Applied Operational Research, Vol. 1, pp. 91-104
[47] Sklar, A. (1959), “Functions de Répartition àn Dimensions et Leurs Marges,” Publications de l’Institut de Statistique de L’Université de Paris, 8, pp. 229-231
[48] Tone, K. and M. Tsutsui (2010), “Dynamic DEA: A slacks-based measure approach,” Omega 38, pp. 145-156
[49] Tsay, W. J., C. J. Huang, T. T. Fu and I. L. Ho (2013), “A Simple Closed-form Approximation for the Cumulative Distribution Function of the Composite Error of Stochastic Frontier Models,” Journal of Productivity Analysis
[50] Yang, Z. (2006), “A two-stage DEA model to evaluate the overall performance of Canadian life and health insurance companies,” Mathematical and Computer Modelling, pp. 910–919
[51] Zhu, J. (2000), “Multi-Factor Performance Measure Model with an Application to Fortune 500 Companies,” European Journal of Operational Research, pp. 105-124 |
