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The Research of offensive and defensive capability,efficiency and effectiveness in CPBL
|Issue Date:||2021-03-02 14:46:19 (UTC+8)|
本研究參考Lewis, Lock and Sexton(2009)棒球效率評估模型，將球隊分為進攻、防守和整合三個部門。本研究以Network DEA探討中華職棒2003至2018年間攻守能力、效率與達標效能的表現，進攻能力(O-capability)與防守能力(D-capability)定義為壘打數、總保送和失誤的綜合指標。另外藉由三者與得失分來衡量各球隊效率表現，並以例行賽勝率與季後賽戰績累積機率作為最終達標效能。
The Chinese Professional Baseball League(CPBL) is about to enter its 32nd year. The performance evaluation of professional sports has gradually received attention at home and abroad. In the past, the traditional DEA method was used to analyze the efficiency of input and output. However, the operation trend of the team internal structure must be discussed in this work specialization modern time.
This study refers to the Lewis, Lock and Sexton (2009) baseball efficiency evaluation model, which divides the team into offense, defense, and integration. This study uses Network DEA to discuss the performance of offensive and defensive capability, efficiency and effectiveness of the CPBL from 2003 to 2018. Offensive and defensive capabilities are defined as the comprehensive index of the total bases, total walks and turnovers. In addition, the efficiency performance of each team is measured by the three factors and the runs. The regular season winning rate and the cumulative probability of the post season record are used as the effectiveness.
The empirical results show that domestic professional baseball players have continued to improve both in hitting and picking, and the number of defensive turnovers has gradually decreased. It not only shows that the average quality of players is getting higher and higher, but also highlights the problem of domestic pitchers. Regardless of the regular season or the post season, both offensive and defensive capability and efficiency have a high degree of explanatory power for the effectiveness. It shows that these two are the indeed important factors affecting the effectiveness and the capability is more influential than the efficiency.
Comparing the relative contribution of effectiveness between offensive and defensive capabilities and efficiency, the difference between the regular season and the post season is the winning efficiency. Winning efficiency in the post season has a higher contribution to the effectiveness. It is speculated that short-term and highly competitive events in the game. If you can win a game with a close score, you will be able to take the lead and greatly enhance the team's confidence, and then achieve better results.
Banker, R. D., A. Charnes and W. W. Cooper (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, 30(9), 1078-1092
Bennett, J. M., and J. A. Flueck (1983), “An Evaluation of Major League Baseball Offensive Performance Models,” The American Statistician, 37(1), 76-82.
Bukiet, B., E. R. Harold and J. L. Palacios (1997), “A Markov Chain Approach to Baseball,” Operations Research, 45(1), 14-23.
Charnes, A., W. W. Cooper and E. Rhodes (1978), “Measuring the Efficiency of Decision Making Units,” European Journal of Operational Research, 2(6), 429-444
Charnes, A., W. W. Cooper, B. Golany, R. Halek, G. Klopp, E. Schmitz and D. Thomas (1986), “Two Phase Data Envelopment Analysis Approach to Policy Evaluation and Management of Army Recruiting Activities: Tradeoffs between Joint Services and Army Advertising,” Research Report CCS No. 532, Center for Cybernetic Studies, The University of Texas at Austin, Texas.
Farrell, M. J. (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, 120(3), 253-290
Kao, C. (2014), “Network Data Envelopment Analysis: A Review,” European Journal of Operational Research, 239(1), 1-16
Lewis, H.F. and T.R. Sexton (2004), “Data Envelopment Analysis with Reverse Inputs and Outputs,” Journal of Productivity Analysis, 21(2), 113-132.
Lewis, H. F., K. A. Lock and T. R. Sexton (2009), “Organizational Capability, Efficiency and Effectiveness in Major League Baseball: 1901-2002,” European Journal of Operational Research, 197(2), 731-740.
Lewis, H. F., T. R. Sexton and K. A. Lock (2007), “Player Salaries, Organizational Efficiency, and Competitiveness in Major League Baseball,” Journal of Sports Economics, 8(3), 266-294
O’Donnell, C.J., D.S.P. Rao and G.E. Battese (2008), “Metafrontier frameworks for the study of firm-level efficiencies and technology ratios,” Empirical Economics, 34(2), 231–255
Rosner, B., F. Mosteller and C. Youtz (1996), “Modeling Pitcher Performance and the Distribution of Runs Per Inning in Major League Baseball, ” The American Statistician, 50(4), 352-360
Sexton, T.R. and H.F. Lewis (2003), “Two-Stage DEA: An Application to Major League Baseball,” Journal of Productivity Analysis, 19(2), 227-249.
Sueyoshi T, K Ohnishi and Y Kinase (1999), “A Benchmark Approach for Baseball Evaluation,” European Journal of Operational Research, 115(3), 429-448.
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