以隨機邊界法探討F1車隊生產效率問題

Abstract

本研究目的在於使用隨機邊界法(Stochastic Frontier Analysis, SFA)探討一級方程式(Formula One, F1)賽車車隊之營運效率，我們考量賽車測試營運成本、賽車實體總成本與車手薪資費用為車隊的三項投入，年度所有賽事的平均積分為車隊產出。研究的分析結果發現：(1)賽車測試營運成本、賽車實體總成本投入與車手薪資費用對車隊平均積分均具顯著性的影響；(2)賽車測試營運成本、賽車實體總成本投入與車手薪資費用之平均邊際產出均為正，且投入變數之間部分存在互補性的影響；(3)使用新積分系統，賽車測試營運成本、賽車實體總成本投入與車手薪資費用之平均邊際產出亦皆為正，且各投入變數亦部分存在互補性的影響。

This work applies Stochastic Frontier Approach (SFA) to investigate the operational efficiency of the Formula One (F1) racing teams. Analysis results show that (1) Oper-ational costs and driver salaries significantly impact racing teams’ average points. (2) Average marginal outputs with respect to all inputs considered are positive. (3) Transforming to the new scoring system, the average marginal outputs with respect to all inputs considered are positive.