運用DEA法去分析各DMU效率時,都是把所有相似的DMU放在一起衡量,以求得各DMU的效率值。然而,這種分析方式往往容易忽略各DMU的來源屬性,這意謂著各DMU的環境背景不同下所造成的差異,如:經濟文化、法令規定、政治背景等環境因素。若運用Metafrontier模型,則可打破環境因素所造成的藩籬,其可以分析衡量具有不同來源屬性的各DMU間的差異,其亦可以衡量各組DMU與整體DMU間的差異所在。因此,本研究使用DEA方法,以「BCC投入導向」為基礎,假設變動規模報酬下,進行兩岸壽險業經營效率評估及比較分析。 此外,當經營管理階層在評估經營績效時,常會受到無法控制的外部環境因素影響,因此,本研究應用四階段資料包絡分析法(Four-Stage Data Envelopment Analysis ),探討經營環境因素(environment Variables)對於經營績效的影響,經調整投入變數後,重新衡量兩岸壽險業的經營效率。 本研究實證期間為2003年至2005年,研究對象為兩岸壽險業共43家公司,其中台灣地區有19家、大陸地區有24家,樣本資料共129筆,並計算出各壽險公司在單年度及跨期累計年度下的技術效率變化。 When we use data envelopment analysis (DEA) to measure efficiencies of DMU, all put the similar DMU to analyze. However this way may ignore the source of DMU, such as economy, government regulations, and politics. If we use the concept of a metafrontier to study differences in technical efficiency across groups of firms, and can obtain a measure of the gap between the group-k frontier and the metafrontier, this is technology gap ratio (TGR). Furthermore, as manager to evaluate the operating efficiencies, they often suffer the uncontrollable variables, so we use four-stage data envelopment analysis to analyze the effect of operational environment variables. Applying BCC input-orientated to measure the 43 life insurance industry in Taiwan and China, in which 19 life insurance companies in Taiwan, and 24 life insurance companies in China over the period 2003-2005.Besides, to analyze technical efficiencies of life companies in every year and aggregate year.