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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/32433


    Title: 運用DEA方法評估產險公司分公司之經營績效~以M公司為例
    Other Titles: Using data envelopment analysis to measure the performance of non-life insurance company's branches ~ a case study for m company
    Authors: 郭文玲;Kuo, Wen-ling
    Contributors: 淡江大學保險學系保險經營碩士班
    高棟梁;Kao, Tong-liang
    Date: 2005
    Issue Date: 2010-01-11 02:07:44 (UTC+8)
    Abstract: 由於近年來台灣金融市場環境的快速變遷,加上政府法令的變革,使得我國的產險業呈現高度競爭的狀態。為因應產險市場如此快速的轉變,產險公司如何在其自身經營上力求效率,實為一重要課題。而一家公司之整體效率,實際上係由各個分公司所組成。故欲究其是否具有整體效率,宜應先從各家分公司之經營績效著手。本研究便以M產險公司為例,對其分公司做經營績效評估之探討。

    本研究旨在利用非參數法的資料包絡分析法(Data Envelopment Analysis;DEA)來衡量M產物保險公司底下17家分公司之經營績效。首先利用資料包絡分析法之CCR模式、A&P模式及BCC模式,評估2004年M公司底下各家分公司的靜態經營績效,進一步再利用Mlamquist生產力指數法評估17家分公司2001-2004年間效率變動之情形。研究結果顯示M公司底下17家分公司整體在2004年的靜態效率方面表現相當優良;但在2001年到2004年的跨年度效率表現上,則有衰退之趨勢。
    Recently, because of the rapidly changing environment of Taiwan’s financial market and the sweeping reforms of the government’s laws and regulations, our non-life insurance industry has presented fierce competition in business. So under the circumstances it becomes very important that how non-life insurance companies seek to improve their own operational performance. Each branch’s operational performance constitutes the overall efficiency of a company. So if we want to know the overall efficiency of a company, we should understand each branch’s operational performance first. In this paper, we take M company for example to discuss the operational performance of each branch of M company.

    This paper uses data envelopment analysis of non-parametric methodology to measure the operational performance of the M non-life insurance company’s 17 branches. We first use CCR model, A&P model, and BCC model of DEA to measure the static operational performance of M company’s 17 branches in the year 2004 and then use Mlamquist productivity indexes to analyze the dynamic operational performance of M company’s 17 branches over the period 2001-2004. We find that 17 branches of M company performed well in the static operational performance, but the dynamic operational performance of 17 branches of M company declined.
    Appears in Collections:[風險管理與保險學系] 學位論文

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