本研究採用資料包絡分析法球員效率與NBA官方網站效率值來探討其對球員薪資之關聯性。本研究除探討外籍球員與美國籍球員間效率及高薪球員與低薪球員間效率差異，並同時比較資料包絡分析法(DEA)所計算之效率值與NBA官方網站所提供之效率值何者與薪資之關聯性較高。
實證結果發現，外籍球員與美國籍球員效率無顯著差異；但是高薪球員的效率顯著的優於低薪球員。另外也發現薪資與國籍間之關聯，及國籍與效率間之關聯性並不顯著。最後，在Vuong test比較資料包絡分析法之效率與NBA效率值與球員薪資間之關聯性的測試，雖然兩類效率值前一期與薪資之關聯性都成正相關，但是DEA所計算之前一期效率值高於NBA官網之前一期效率值與薪資關聯性，顯示DEA所計算之效率值可以比官網之效率值更能做為球員薪資談判之指標。 / This research applies Data Envelopment Analysis and examines the relationship between NBA players’ salaries paid and efficiency performance. The research not only compares the efficiency difference between players paid for different salaries, Local players and Foreign players, but also construct a model to examine the explanatory ability about player’s salaries between DEA efficiency scores and NBA official efficiency scores.
The empirical results suggest that there is no difference between the local players and the foreign players, but the efficiency performance of high-paid players is better than the low-paid players. After we controlled the other variables, the empirical results illustrated that player’s nationality and salaries has no significant influence in player’s efficiency. The Vuong test results reveal that the pervious period DEA efficiency score demonstrated a higher explanatory ability than the pervious period NBA official efficiency score. The finding suggests that the DEA efficient approach could be a better index for players’ salaries negotiation than NBA official efficiency score.
| Identifer | oai:union.ndltd.org:CHENGCHI/G0094353037 |
| Creators | 王浚宇 |
| Publisher | 國立政治大學 |
| Source Sets | National Chengchi University Libraries |
| Language | 中文 |
| Detected Language | English |
| Type | text |
| Rights | Copyright © nccu library on behalf of the copyright holders |
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