Relating the CCR Model in Data Envelopment Analysis to Firm Theory Based on the Weak Axiom of Profit Maximization

2004 ◽  
Author(s):  
Yuntong Wang ◽  
Arnold Reisman ◽  
Muhittin Oral ◽  
Said Gattoufi
Author(s):  
Said Gattoufi ◽  
Yuntong Wang ◽  
Arnold Reisman ◽  
Muhittin Oral

This paper provides a characterization of the classical Charnes, Cooper and Rhodes (CCR) model in Data Envelopment Analysis (DEA). The characterization is based on the Weak Axiom of Profit Maximization (WAPM) in Firm Theory. Efficiency measures for Decision Making Units (DMUs) provided by the classical CCR-DEA model are derived as measurements of deviations from the conditions prescribed by the Weak Axiom of Profit Maximization (WAPM).


2020 ◽  
Vol 8 (1) ◽  
pp. 121-134
Author(s):  
Jelena Jardas Antonić ◽  
Kristina Kregar ◽  
Nenad Vretenar

Every sport organisation strives to evaluate its performance: its weaknesses and strengths. Measuring efficiency and sports are two interrelated concepts and it is not surprising that most of the research on sports is focused on analysing the efficiency of teams according to player techniques, attack and defence efficiency. However, there are very few studies based on the analysis of financial factors such as teams’ revenue and costs. In this paper two Data Envelopment Analysis (DEA) models were used to evaluate 16 young cadet volleyball teams in Primorsko-Goranska County based on two economic inputs. The paper aims to explain the importance of teams’ financial resources in achieving sports efficiency. To analyse the relative efficiency of teams, two frequently used models are employed, the Banker Charnes Cooper (BCC) and the Charnes Cooper Rhodes (CCR) model. In the end, a super efficiency analysis was conducted to make a distinction in efficiency scores between efficient units. Analyses showed that financial factors are not crucial factors for efficiency score and gave possibility to use obtained results and improve the performance of inefficient volleyball teams. The study was conducted on a sample of 16 teams through 4 inputs and 1 output collected during 2017/2018 season.


Author(s):  
Anna Pyka

<p>The aim of this article is to evaluate the technical efficiency of the chosen commercial banks, which in the years 2014–2016 were participants in acquisitions in the banking sector, with the usage of the Data Envelopment Analysis (DEA) model. The DEA model was modified through reshaping the linear form using the Charnes, Cooper, and Rhodes (CCR) model, which is aimed at expenditures. Particular attention was paid to the impact of acquisitions in the banking sector on the improvement or deterioration of the technical efficiency of banks that act as acquiring banks.</p>


2019 ◽  
Vol 56 (1) ◽  
pp. 59-72
Author(s):  
Ahmed Atef Shaheen ◽  
Mohamed Abbas Elkalla

Middle East main container ports are developing rapidly with a lot of investments. This is due to their geographical location in the main East-West trade route. Accordingly, it is important to assess their relative technical efficiency to make them visible and stand out in such a development. This research will assess the relative technical efficiency based on the infrastructure of the main container ports in the Middle East by the aid of data envelopment analysis (DEA) for the year 2017. This will be performed by using the DEA four models based on the input oriented mode CCR model, BCC model, Supper efficiency and the Slack variable analyses. Results of the research highlight that nearly 80% of the studied ports are, with an increasing return to scale approach to the study ports, suffering from a surplus in their infrastructure that should be considered in future investments.


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