Measuring Performance: An Introduction to Data Envelopment Analysis (DEA)

Bowlin, William F.

doi:10.1080/08823871.1998.10462318

Cited by 300 publications

(155 citation statements)

References 43 publications

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“…Each DMU must provide both technical and scale efficiency to be CCR-efficient, while it is sufficient to provide only technical efficiency to be BCC-efficient (Bowlin, 1998). …”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Evaluation of Old Oyo National Park efficiency using DEA Approach

Jacob

Onadeko

Nelson

et al. 2018

EES

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Abstract:Measuring the efficiency of a national park is difficult due to, among other factors, the heterogeneity of resources supplied (e.g., budget, staffs) and outcomes expected (e.g., income, visitors' flow). While this is an issue in protected area management, it has been approached successfully in other fields by using data envelopment analysis (DEA). DEA has a number of advantages over other techniques as it simultaneously uses multiple heterogeneous inputs and outputs to determine which projects are performing most efficiently, referred to as being at the efficiency frontier, when compared to others in the data set. This study therefore uses DEA for the evaluation of management efficiency in Old Oyo National Park for the period of 2001-2015. The results showed that the park was efficient for 11 and 13 years, respectively, in terms of its overall technical and pure technical efficiency with a mean scale efficiency of 97%. Also, the park operated at 80% of its productive scale size. These results, and the use of DEA, highlight both the success of using this technique in helping determine protected area efficiency and those factors to consider while allocating resources for new projects at the park.

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“…Each DMU must provide both technical and scale efficiency to be CCR-efficient, while it is sufficient to provide only technical efficiency to be BCC-efficient (Bowlin, 1998). …”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Evaluation of Old Oyo National Park efficiency using DEA Approach

Jacob

Onadeko

Nelson

et al. 2018

EES

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“…Their contribution was to develop a generalized DEA-based performance measure that can integrate both classic performance measures (as Sharpe, Treynor, and Jensen) and the approach of Murthi et al (1997). Additional applications of DEA for measuring mutual fund performance are McMullen and Strong (1998), Bowlin (1998), Morey and Morey (1999), and Choi and Murthi (2001).…”

Section: Introductionmentioning

confidence: 99%

Performance measurement of hedge funds using data envelopment analysis

Eling

2006

Fin Mkts Portfolio Mgmt

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Data envelopment analysis (DEA) is a nonparametric method from the area of operations research that measures the relationship of produced outputs to assigned inputs and determines an efficiency score. This efficiency score can be interpreted as a performance measure in investment analysis. Recent literature contains intensive discussion of using DEA to measure the performance of hedge funds, as this approach yields some advantages compared to classic performance measures. This paper extends the current discussion in three aspects. First, we present different DEA models and analyze their suitability for hedge fund performance measurement. Second, we systematize possible inputs and outputs for DEA and again examine their suitability for hedge fund performance measurement. Third, two rules are developed to select inputs and outputs in DEA of hedge funds. Using this framework, we find a completely new ranking of hedge funds compared to classic performance measures and compared to previously proposed DEA applications. Thus, we propose that classic performance measures should be supplemented with DEA based on the suggested rules to fully capture hedge fund risk and return characteristics.

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“…Data envelopment analysis first introduced by [32], is well established as a theoretically framework for conducting performance analysis, and its application by practitioners has resulted in some significant performance improvements [33][34][35]. It commonly possess many advantages over other techniques such as performance ratios and regression analysis, which makes it a very suitable tool for management in a wide variety of industries [36,37]. DEA evaluates the efficiency of DMU by using mathematical programming model.…”

Section: Evaluation Systemmentioning

confidence: 99%

Evaluation of the Efficiency of Low Carbon Industrialization in Cultural and Natural Heritage: Taking Leshan as an Example

Yao

2014

Sustainability

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This paper concentrates on the evaluation of the efficiency of low carbon industrialization in the tourism sector. Combining the general indices of the regional industrialization with the specific characteristics of low carbon development in the tourism sector, a comprehensive index system is scientifically designed. Due to the complexity of the index system and the tight correlation among some indices, rough set theory (RST) is applied to reduce the dimensions of the index system and delete some overlapped information. Then, the data envelopment analysis (DEA) is used to evaluate the efficiency of low carbon industrialization in every year, in order to investigate the development of regional economy, where the year is considered as the Decision-Making Unit (DMU). Furthermore, the super efficiency value of each DMU is calculated to compare the level of low carbon industrialization in each year. Finally, Leshan city, which is a typical representative of a World Cultural and Natural region in China, is considered as a practical application to show the effectiveness of the proposed model. Then, some valuable suggestions are given to help decision makers improve regional development.

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Measuring Performance: An Introduction to Data Envelopment Analysis (DEA)

Cited by 300 publications

References 43 publications

Evaluation of Old Oyo National Park efficiency using DEA Approach

Evaluation of Old Oyo National Park efficiency using DEA Approach

Performance measurement of hedge funds using data envelopment analysis

Evaluation of the Efficiency of Low Carbon Industrialization in Cultural and Natural Heritage: Taking Leshan as an Example

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