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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84871
完整後設資料紀錄
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dc.contributor.advisor李家岩zh_TW
dc.contributor.advisorChia-Yen Leeen
dc.contributor.author吳延東zh_TW
dc.contributor.authorYen-Tung Wuen
dc.date.accessioned2023-03-19T22:30:04Z-
dc.date.available2023-12-27-
dc.date.copyright2022-09-05-
dc.date.issued2022-
dc.date.submitted2002-01-01-
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Cooper, W. W., Park, K. S., & Ciurana, J. T. P. (2000). Marginal Rates and Elasticities of Substitution with Additive Models in DEA. Journal of Productivity Analysis, 13, 105--123.
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Kaffash, S., Azizi, R., Huang, Y., & Zhu, J. (2020). A survey of data envelopment analysis applications in the insurance industry 1993–2018. European Journal of Operational Research, 284(3), 801-813. https://doi.org/10.1016/j.ejor.2019.07.034
Kao, C. (2009). Efficiency decomposition in network data envelopment analysis: A relational model. European Journal of Operational Research, 192(3), 949-962. https://doi.org/10.1016/j.ejor.2007.10.008
Kao, C., & Hwang, S.-N. (2008). 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. https://doi.org/10.1016/j.ejor.2006.11.041
Kuosmanen, T., Johnson, A., & Saastamoinen, A. (2015). Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework. In Data Envelopment Analysis (pp. 191-244). https://doi.org/10.1007/978-1-4899-7553-9_7
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84871-
dc.description.abstract本研究主要探討邊決策單位在邊際上的決策行為與效率變化的關係。本研究發展自Lee (2017) 所提出的方向性邊際生產力,提出邊際生產力一致性指標,並將其應用於分析圖表中,望能在本研究之中給出決策建議。邊際生產力一致性主要探討決策單位在面對最大化邊際利潤方向時,其往後的發展與該方向是否一致。本研究的分析圖表主要包含兩要件:邊際生產力一致性與效率轉移(Efficiency Change),分別針對決策單位在時間上對於邊際利潤以及投入產出的取捨做評估。根據提出的分析圖表,本研究在台灣壽險業進行實證分析,分別在2014~2016、2018~2020年兩時間段確認方法論的信度與效度。研究結果顯示,本研究方法可以有效抓出市場的重要事件,同時,也可以在企業購併案上了解事件的好壞。最後,我們根據分析圖表,針對在台灣壽險業落入圖表較落後區域的決策單位,提出修改建議。zh_TW
dc.description.abstractThis study proposes a novel analysis chart with Marginal Profit Consistency, which is a derivative from Directional Marginal Productivity Lee (2017) proposed, and Efficiency Change. Where the Marginal Profit Consistency can help us investigate how a DMU’s progress in history be related to the direction which leads to gain maximum marginal profit. We use life insurance industrial data in Taiwan as the application field, with the assumption that there is no technical change in the paneled 3 years. Using our proposing chart, we can highlight the industry event related to company performance and its marginal output portfolio. Besides, we further explain the usage when we face the merger effect in industry, which is always a worth discussing issue once incurred. To the best of our knowledge, we suggest how an insurance company can move forward if it falls in Laggard quadrant.en
dc.description.provenanceMade available in DSpace on 2023-03-19T22:30:04Z (GMT). No. of bitstreams: 1
U0001-2508202219502000.pdf: 12153948 bytes, checksum: d1f558a604bf2ad7c912cafb7dec4e64 (MD5)
Previous issue date: 2022
en
dc.description.tableofcontents口試委員會審定書 I
誌謝 I
中文摘要 II
Abstract III
List of Contents IV
List of Tables VI
List of Figures VII
Chapter 1 Introduction 1
1.1 Motivation and Background 1
1.2 Research Purposes and Scope 6
1.3 Thesis Overview 7
Chapter 2 Literature Review 7
2.1 Data Envelopment Analysis (DEA) 8
2.2 Directional Marginal Productivity and Meta-DEA 16
2.3 Efficiency Change and Product-mix 22
2.4 Efficiency Analysis in Insurance Industry 24
2.5 Sketch in Literature Review 24
Chapter 3 Methodology and Model Framework 26
3.1 Methodology Framework 26
3.2 Data Acquisition and DEA Model 28
3.3 DMP Model Selection and Approaches Difference 33
3.4 Marginal Profit Consistency Analysis 38
Chapter 4 Empirical Evidence 42
4.1 Data Description 42
4.2 Analysis Chart on Historical Data 44
4.3 Suggestion for DMUs to Progress 53
4.4 Summary and Discussion 55
Chapter 5 Conclusion and Future Research 56
5.1 Conclusion 56
5.2 Research Restriction and Future Study 57
References 59
Appendix 1. 2014~2016 Taiwan Life Insurance Data and Analysis Value (round in 3) i
Appendix 2. 2018~2020 Taiwan Life Insurance Data and Analysis Value (round in 3) vi
Resume xi
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dc.language.isoen-
dc.subject邊際生產力zh_TW
dc.subject壽險zh_TW
dc.subject元資料包絡分析zh_TW
dc.subject方向性邊際生產力zh_TW
dc.subject邊際生產力zh_TW
dc.subject最大化邊際利潤方向zh_TW
dc.subject壽險zh_TW
dc.subject元資料包絡分析zh_TW
dc.subject方向性邊際生產力zh_TW
dc.subject最大化邊際利潤方向zh_TW
dc.subjectDirectional Marginal Productivityen
dc.subjectLife Insuranceen
dc.subjectMarginal Profit Max Directionen
dc.subjectMarginal Productivityen
dc.subjectMeta-DEAen
dc.subjectMarginal Profit Max Directionen
dc.subjectLife Insuranceen
dc.subjectMeta-DEAen
dc.subjectDirectional Marginal Productivityen
dc.subjectMarginal Productivityen
dc.title藉由元資料包絡分析進行臺灣壽險業的邊際生產力與效率分析zh_TW
dc.titleMarginal Productivity and Efficiency Analysis on Taiwan’s Life Insurance Industry through Meta-Data Envelopment Analysisen
dc.typeThesis-
dc.date.schoolyear110-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee陳惠國;游明敏;彭金隆zh_TW
dc.contributor.oralexamcommitteeHuey-Kuo Chen;Ming-Miin Yu;Jin-Lung Pengen
dc.subject.keyword最大化邊際利潤方向,邊際生產力,方向性邊際生產力,元資料包絡分析,壽險,zh_TW
dc.subject.keywordMarginal Profit Max Direction,Marginal Productivity,Directional Marginal Productivity,Meta-DEA,Life Insurance,en
dc.relation.page75-
dc.identifier.doi10.6342/NTU202202824-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2022-08-29-
dc.contributor.author-college管理學院-
dc.contributor.author-dept資訊管理學系-
dc.date.embargo-lift2025-08-25-
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