在過去許多關於經營績效評估的文獻多以單年度進行績效評估,並且假設所有投入變數皆為變動投入,但在實際生產過程中,某些變數於生產過程中無法立即變動,並調整至最適使用狀態,此種在短期間內無法立即調整之變數即為準固定投入變數。若將所有投入變數皆視為變動投入將造成衡量經濟效率時,高估廠商之變動能力,而得到較低之技術效率值,無法正確得知壽險公司於實證期間之經營績效表現。 此外,目前亦有許多文獻計算累計年度之跨期調整成本,但並未研究納入準固定投入之投資下的效率值,因此本研究使用無參數法中的資料包絡分析法(Data Envelopment Analysis,簡稱DEA)為基礎架構,採用投入導向之效率衡量方法,計算累計實證期間中納入準固定投入變數之經濟效率及其最適路徑後加以計算準固定投入之投資,並將其納入模型中計算跨期間台灣地區壽險公司累計年度之經濟效率。
The past papers evaluated efficiency by single year, and considered input variables as variable. Actually in the production process , some of the variables cannot be instantaneously adjusted to their optimal levels , those variables couldn’t adjusted in a short run are called quasi-fixed input. If we treat all input variables as variable, the firms efficiency will be overestimate and will get lower technical efficiency, so that we could not learn operational performance clearly in the empirical period. Besides, there still has a lot of papers evaluated the intertemporal adjustment cost with accumulate years, but evaluated the efficiency without adding the investment of quasi-fixed input. So this paper used the input-oriented data envelopment analysis of nonparametric approach as fundamental structure , using quasi-fixed input and it’s optimal levels to calculate the best investment of quasi-fixed and adding to our model , hence to calculate the technical efficiency and overall efficiency of each life insurance company, and discuss the empirical results.