除勞動、資本等廠商內部管理投入外，各縣市地區特性也會影響廠商的生產績效，且地區特性的影響是有其重要的政策意涵，因此本文主要是探討如何利用非參數法中資料包絡分析法（DEA-FSY模型）與參數法中隨機性統計邊界法（即 SFA-ONE模型），將地區特性對績效的影響抽離出來，以獲得純管理層面的技術效率，作為廠商本身實際競爭力的參考，修正傳統不考量外在環境對技術效率影響之衡量方式所可能造成高低估效率的問題，並作兩模型間的比較。主要實證結果為：一、摒除地區特性影響之DEA-FSY模型與SFA-ONE模型兩者所得技術效率之縣市排名，僅在化學材料、塑膠製品、電力及電子機械器材製造修配等產業上不具顯著相關；二、在大部分產業上，摒除地區特性影響後的技術效率之變動幅度與方向，非參數法之DEA-FSY模型均較參數法SFA-ONE模型有顯著差異；三、就各產業的技術效率受地區特性影響而言，在較科技性產業上僅電力及電子機械器材製造修配業在南部區域受有利影響；在較污染|生產業上則以化學材料製造業在台灣西部各區域受不利的影響。

　　Besides the firm's internal controllable factors such as labor and capital, the area characteristics of prefectures and cities could influence the ability of the firm to transform inputs into outputs, and hence the effects of the area characteristics on firm's performance has important policy implications. Therefore, the paper aims to study how to theoretically measure managerial technical efficiency index measuring the real firm's ability of competition by incorporating the area characteristics under Data Envelopment Analysis (called DEA-FSY model) and Stochastic Statistical Frontier Approach (alled SFA-ONE model) which they can correct the measured bias of traditional methods. The main empirical results are as follows: I. With incorporating the influence of area characteristics, the similar technical efficiency rankings of prefectures and cities exist between DEA-FSY and SFA-ONE except the Chemical Matter Manufacturing Industry, the Plastic Products Manufacturing Industry, and the Electrical & Electronic Machinery Industry. 2.The rate and the direction of changes in technical efficiency between the DEA and DEA-FSY are more significant than the SFA and SFA-ONE to most industries. 3. As for the effect of area characteristics on technical efficiency, it is significantly favorable to the Electrical & Electronic Machinery Industry among technological intensive industries in southern Taiwan, while it is significantly unfavorable to the Chemical Matter Manufacturing Industry among pollution industries in western Taiwan.