資料包絡分析法乃是利用數學規劃模式求取決策單位之相對效率，故本研究針對本文針對競爭激烈之金控環境下,14至15家金控子銀行進行推估其經營效率。 銀行經營效率評估，主要以財務比率法、資料包絡法及隨機生產（或成本）邊界法。財務比率法大多利用單一投入與產出之比值，不符合生產函數之理論架構；DEA已經針對投入與產出之關係，作一嚴謹的分析，而能推估數個投入與產出之效率指標，此一效率指標，較能評估各廠商之經營績效。本文運用Farrell對於多項投入及多項產出效率衡量的概念，去推估各金控子銀行從1999年至2004年的經營效率，並建議這些銀行如何去配置最佳技術效率組合。 本研究的結論得出公營金控公司子銀行的績效不如民營金控子銀行來的佳。且金控公司子銀行未來應加強創新，增進風險管理的能力，促使銀行、證券及保險平台的結合，以便提高競爭力。 / Data Envelopment Analysis (DEA) is a mathematical programming approach to accessing relative efficiencies within a group of Decision Making Units (DMUS). therefore this research controls the environment in view of this article in view of the competition intense gold next the bank to carry on,14 to 15 Financial company bankings pushes estimates its management efficiency. 　　The bank management efficiency appraised, mainly by Financial Ratio Approachs, Data Envelopment Approachs and The Stochastic production (or cost) Frontier Approachs. The financial ratio Approachs mostly uses the sole investment with to deliver the ratio, does not conform to theory of overhead construction the production function; DEA already aimed at the investment with to deliver the relations, made a rigorous analysis, but could push estimates several investments with to deliver the efficiency target. This efficiency target, comparatively can appraise management achievements various merchants. This article utilizes Farrell delivers the efficiency weight regarding many investments and many items the concept, pushes estimates various Jin K'ungtzu the bank from 1999 to 2004 management efficiency, and suggested how these banks do dispose the best technical efficiency combination. 　　This research conclusion obtains the public-operated gold to control the company sub- bank the achievements to be inferior to privately operated Financial company bankings comes good. Also the gold will control the company sub- bank future to be supposed to strengthen the innovation, will promote the risk management the ability, will urge the bank, the negotiable securities and insures the platform the union, in order to enhancement competitive ability.

本研究使用資料包絡分析法衡量NBA球員之績效值，並探討球員在簽訂複數年合約前後與績效之關聯性，是否有Stiroh(2002)提出之合約年效應，並進而比較NBA官方提供績效值與DEA法計算出之球員績效值何者對於球員薪資具有較佳的解釋能力。 本研究取用2000年至2011年共11年間曾經歷合約到期並再次向球團簽訂複數年合約的184名球員做為樣本；實證結果發現，在控制年齡、年資、提前續約與否、球員位置及先發球員與否後整體技術效率方面及球員每分鐘平均績效值顯示在球員簽約前績效有顯著提高之現象； NBA官方提供績效值與純技術效率簽約前後係數也是負的，雖然未達到統計上顯著水準，因此，本研究結果顯示NBA球員在簽約新約前的確有合約週期現象，亦即為爭取較佳合約球員在簽約前會刻意表現較佳之績效。 此外，根據Vuong Test比較NBA官方提供績效值與DEA法計算出之績效值和球員每分鐘績效值與薪資關聯性的測試結果，顯示由官方提供之績效值對薪資關聯性較高，說明目前NBA官方提供之績效值仍然是球團用來與球員薪資的談判重要參考指標之一。 / The research applies Data Envelopment Analysis to examine the NBA players’ efficiency performance before and after signing a new multi-year contract, and whether there exists the Contract Cycle Effect that suggested by Stiroh (2002). The research also tries to compare NBA efficiency score and DEA efficiency score to test which has a higher association with salary. The samples selected 184 NBA players who signed a new multi-year contract from 2000 to 2011. After controlling the players’ age, seniority, extension, position and starting or not, the empirical results denote that DEA total efficiency score and the NBA efficiency per minute indicate a higher efficiency score before signing a new contract, The NBA official efficiency score and DEA technical efficiency score also reveal a negative coefficient before and after new contract singed, although the statistical test didn’t reach the significant level. The results imply that NBA players do exist the Contract Cycle Effect phenomenon that players will perform better efficiency in order to get a better contract. The Vuong test results reveal that the official NBA efficiency score has a higher association with salary comparing with DEA efficiency score. The finding suggests that the official efficiency score is one of the major references for the NBA teams on salary arbitration.