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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102549
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林姿婷zh_TW
dc.contributor.advisorTzu-Ting Linen
dc.contributor.author李祐竹zh_TW
dc.contributor.authorYu-Chu Lien
dc.date.accessioned2026-07-08T16:34:44Z-
dc.date.available2026-07-09-
dc.date.copyright2026-07-08-
dc.date.issued2026-
dc.date.submitted2026-06-17-
dc.identifier.citation一、 中文文獻
徐俊偉(2016)。火險費率自由化下對臺灣產險公司經營效率的影響[碩士論文,銘傳大學]。
陳亞為、郝充仁、陳迺慧,2005,台灣地區產物保險業經營績效之分析-隨機邊界法之應用,貨幣市場,第9卷第5期,1-45。
陳奕辰(2012)。車險費率自由化對產險公司效率的影響[碩士論文,逢甲大學]。
黃旭男、高棟梁(2005)。臺灣地區產險公司經營績效之評估:二階段資料包絡分析法之應用。保險專刊,21(1),57-79。
廖振盛(2009)。費率自由化對產險業經營效率與生產力影響之分析。保險經營與制度,8(2),205-228。
二、 英文文獻
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.
Banker, R., Natarajan, R., & Zhang, D. (2019). Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using data envelopment analysis: Second stage OLS versus bootstrap approaches. European Journal of Operational Research, 278(2), 368-384.
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.
Boonyasai, T. (1999). The effect of liberalization and deregulation on life insurer efficiency. Georgia State University.
Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functionals. Naval Research logistics quarterly, 9(3‐4), 181-186.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Chen, M. K., & Chang, C. H. (2025). Rating Liberalization and Efficiency: Evidence from the Property-Liability Insurance Industry. Journal of Risk and Financial Management, 18(5), 274.
Cummins, J. D., & Weiss, M. A. (2013). Analyzing firm performance in the insurance industry using frontier efficiency and productivity methods. Handbook of insurance, 795-861.
Cummins, J. D., & Rubio-Misas, M. (2006). Deregulation, consolidation, and efficiency: Evidence from the Spanish insurance industry. Journal of Money, Credit and Banking, 38(2), 323-355.
Diacon, S. R., Starkey, K., & O'Brien, C. (2002). Size and efficiency in European long-term insurance companies: An international comparison. The Geneva Papers on Risk and Insurance. Issues and Practice, 27(3), 444-466.
Eling, M., & Luhnen, M. (2010). Efficiency in the international insurance industry: A cross-country comparison. Journal of Banking & Finance, 34(7), 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.
Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American economic review, 66-83.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the royal statistical society series a: statistics in society, 120(3), 253-281.
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 & Finance, 32(1), 86-100.
Jeng, V., & Lai, G. C. (2008). The impact of deregulation on efficiency: an analysis of life insurance industry in Taiwan from 1981 to 2004. Risk Management and Insurance Review, 11(2), 349-375.
Joskow, P. L. (1973). Cartels, competition and regulation in the property-liability insurance industry. The Bell Journal of Economics and Management Science, 375-427.
Klein, R. W. (2012). Principles for insurance regulation: An evaluation of current practices and potential reforms. The Geneva Papers on Risk and Insurance-Issues and Practice, 37(1), 175-199.
Mahlberg, B., & Url, T. (2000). The transition to the single market in the German insurance industry (No. 131). WIFO Working Papers.
Mahlberg, B., & Url, T. (2003). Effects of the single market on the Austrian insurance industry. Empirical Economics, 28(4), 813-838.
Schwarcz, D. (2018). Ending Public Utility Style Rate Regulation in Insurance. Yale J. on Reg., 35, 941.
Tennyson, S. L. (2007). Efficiency consequences of rate regulation in insurance markets. SSRN.
Turchetti, G., & Daraio, C. (2004). How deregulation shapes market structure and industry efficiency: The case of the Italian motor insurance industry. The Geneva Papers on Risk and Insurance. Issues and Practice, 29(2), 202-218.
Vintilă, A., Trucmel, I. M., & Roman, M. D. (2022). Measuring and analyzing the efficiency of firms in the insurance industry using DEA techniques. Journal of Social and Economic Statistics, 11(1-2), 59-83..
Shujie, Y. A. O., Zhongwei, H. A. N., & Genfu, F. E. N. G. (2007). On technical efficiency of China's insurance industry after WTO accession. China economic review, 18(1), 66-86.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102549-
dc.description.abstract臺灣產險業自 2002 年起歷經三階段費率自由化,期望透過鬆綁管制提升市場競爭力。然而在完全自由化初期,因市場陷入惡性削價競爭,主管機關為維持市場穩定,自2014 年起針對商業火險陸續實施具備價格下限的「類規章費率」制度。過去文獻多聚焦於費率自由化對經營效率之影響,並未將類規章費率制度獨立探討。因此,本研究旨在彌補此缺口,探討此一政策轉向對於火險市場效率之影響,檢驗該制度是否因過度保護反而抑制了經營效率的提升。
本研究選取 2006 年至 2021 年間 13 家本國產險公司之資料,將政策實施期間劃分為「管制與轉型期」(2006-2009 年)、「完全自由化期」(2010-2014 年)及「類規章費率期」(2015-2021 年)。研究方法綜合運用資料包絡分析法(DEA)衡量各公司之技術效率、純技術效率、規模效率及成本效率,並透過 Malmquist生產力指數探討跨期動態變化,最後建立普通最小平方法(OLS)迴歸模型檢視不同政策時期對經營效率之淨影響 。
實證結果顯示:(1)「完全自由化期」因惡性競爭導致資源配置不當,生產力與純技術效率皆顯著衰退。(2)「類規章費率期」生產力雖因產業整體技術進步而回升,但反映個別公司管理能力的純技術效率呈現停滯。(3) 迴歸對照發現,相較於全險種市場顯著的成本優化,火險市場在類規章制度下效率表現相對落後。整體而言,火險市場實施類規章制度並無法實質提升經營效率。
研究結論指出,類規章制度之價格僵化削弱了業者精簡成本與優化管理之動機。建議主管機關在業者風險控管意識已提升之背景下,逐步讓類規章制度退場,回歸真實反映風險對價之市場機制,促進業者提升經營效率之動機。
zh_TW
dc.description.abstractSince 2002, Taiwan's property-liability insurance industry has pursued rate liberalization to enhance market competitiveness. However, to mitigate destructive price competition during the early stages of full liberalization, the regulator introduced a "Quasi-Tariff Rate System" with price floors for commercial fire insurance in 2014. This study aims to fill the research gap by investigating whether this policy shift toward "re-regulation" has inadvertently inhibited efficiency improvements.
Analyzing data from 13 domestic property-liability insurers between 2006 and 2021, the study categorizes the timeline into three phases: the "Control and Transition Period," the "Full Liberalization Period," and the "Quasi-Tariff Rate Period." Methodologically, Data Envelopment Analysis (DEA) and the Malmquist Productivity Index are employed to assess efficiency dynamics, followed by an OLS regression model to examine the net impact of these policies.
The empirical results reveal three key findings: (1) During the "Full Liberalization Period," excessive price competition led to resource misallocation, causing significant declines in both productivity and pure technical efficiency. (2) In the "Quasi-Tariff Rate Period," while total factor productivity recovered due to industry-wide technological progress, pure technical efficiency—reflecting internal management capabilities—remained stagnant. (3) Regression analysis further indicates that the fire insurance market’s efficiency significantly lagged behind the aggregate market’s cost optimization under the quasi-tariff regime. Overall, the implementation of the quasi-tariff system in the fire insurance market has failed to substantively improve operating efficiency.
The study concludes that the rigid pricing of the quasi-tariff system has weakened insurers' incentives for cost reduction and management optimization. Given the matured risk management capabilities of current insurers, the study recommends a gradual phase-out of the quasi-tariff system. Returning to a market-driven mechanism based on risk-reflective pricing will revitalize the motivation for insurers to enhance their operating efficiency.
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dc.description.tableofcontents口試委員審定書 i
中文摘要 ii
Abstract iii
目次 v
圖次 vi
表次 vi
第一章 緒論 1
第一節 研究動機 1
第二節 研究背景 2
第三節 研究架構 4
第二章 文獻回顧 6
第三章 研究方法 9
第一節 資料來源與變數選擇 9
第二節 政策階段劃分 12
第三節 資料包絡分析法(DEA) 13
第四節 Malmquist生產力指數 17
第五節 OLS迴歸分析 19
第四章 實證結果 22
第一節 敘述統計與Pearson係數分析 22
第二節 效率分析 23
第三節 Malmquist生產力變動分析 26
第四節 OLS迴歸分析結果 29
第五章 結論與建議 33
第一節 研究結論 33
第二節 政策與建議 34
第三節 限制與後續研究方向 35
參考文獻 36
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dc.language.isozh_TW-
dc.subject火險-
dc.subject類規章費率-
dc.subject經營效率-
dc.subject資料包絡分析法-
dc.subjectMalmquist 生產力指數-
dc.subjectFire Insurance-
dc.subjectQuasi-Tariff Rate-
dc.subjectOperating Efficiency-
dc.subjectData Envelopment Analysis (DEA)-
dc.subjectMalmquist Productivity Index-
dc.title臺灣火險費率政策對經營效率之實證研究:從自由化到類規章費率zh_TW
dc.titleThe Impact of Fire Insurance Rate Policy on Operating Efficiency in Taiwan: From Liberalization to Quasi-Regulationen
dc.typeThesis-
dc.date.schoolyear114-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee陳彥行;蔡英哲zh_TW
dc.contributor.oralexamcommitteeYan-Shing Chen;Ying-Che Tsaien
dc.subject.keyword火險; 類規章費率; 經營效率; 資料包絡分析法; Malmquist 生產力指數zh_TW
dc.subject.keywordFire Insurance; Quasi-Tariff Rate; Operating Efficiency; Data Envelopment Analysis (DEA); Malmquist Productivity Indexen
dc.relation.page39-
dc.identifier.doi10.6342/NTU202601325-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2026-06-18-
dc.contributor.author-college管理學院-
dc.contributor.author-dept財務金融學系-
dc.date.embargo-lift2026-07-09-
顯示於系所單位:財務金融學系

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