校际体育效率:两阶段DEA方法

Mauro Falasca, J. Kros
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引用次数: 0

摘要

随着获胜和创造收入的压力以及对失控支出的指控不断增加,人们对校际体育运动产生了浓厚的兴趣。虽然过去的研究人员已经调查了与体育成功、创收和毕业率相关的具体问题,但之前的研究没有试图同时评估这些因素。本章讨论了数据包络分析(DEA)模型的发展,该模型旨在衡量大学体育部门在利用资源实现体育成功、创造收入、促进学业成功和按时毕业方面的效率。本研究采用美国大学体育协会(NCAA)足球碗联赛(FBS)大学的数据来评估各院校的相对效率。该模型确定了一系列“最佳实践”大学,用于计算效率低下机构的有效目标资源水平。讨论了所提出的方法对决策者的价值。
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Intercollegiate Athletics Efficiency: A Two-Stage DEA Approach
Abstract As the pressure to win and generate revenue and as the allegations of out-of-control spending continue to increase, there exists much interest in intercollegiate athletics. While researchers in the past have investigated specific issues related to athletics success, revenue generation, and graduation rates, no previous studies have attempted to evaluate these factors simultaneously. This chapter discusses the development of a data envelopment analysis (DEA) model aimed at measuring how efficient university athletic departments are in terms of the use of resources to achieve athletics success, generate revenue, and promote academic success and on-time graduation. Data from National Collegiate Athletic Association (NCAA) Division I Football Bowl Subdivision (FBS) universities are used to evaluate the relative efficiency of the institutions. The model identifies a series of “best-practice” universities which are used to calculate efficient target resource levels for inefficient institutions. The value of the proposed methodology to decision makers is discussed.
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