A modified super-efficiency measure based on simultaneous input–output projection in data envelopment analysis

2011 ◽  
Vol 38 (2) ◽  
pp. 496-504 ◽  
Author(s):  
Jin-Xiao Chen ◽  
Mingrong Deng ◽  
Sylvain Gingras
2013 ◽  
Vol 772 ◽  
pp. 699-704 ◽  
Author(s):  
Corrado lo Storto ◽  
Gabriella Ferruzzi

This paper implements Data Envelopment Analysis (DEA) to calculate an efficiency measure index of 21 energy power plants that use different technologies, including both renewable and conventional types. Super-efficiency measurements are used to generate a ranking of plants based on their efficiency score that can be used to select among alternatives. It is also showed how DEA can also be adopted to estimate the amount of financial subsidies necessary to make a renewable energy plant as efficient as a conventional energy plant, by calculating the extent to which inefficient power plants over-utilize specific inputs or under-produce outputs.


2018 ◽  
Vol 22 (22) ◽  
pp. 7339-7353 ◽  
Author(s):  
Miriam F. Bongo ◽  
Lanndon A. Ocampo ◽  
Yannie Ann D. Magallano ◽  
Geraldine A. Manaban ◽  
Ezra Kim F. Ramos

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402198925
Author(s):  
Isidoro Guzmán-Raja ◽  
Manuela Guzmán-Raja

Professional football clubs have a special characteristic not shared by other types of companies: their sport performance (on the field) is important, in addition to their financial performance (off the field). The aim of this paper is to calculate an efficiency measure using a model that combines performance (sport and economic) based on data envelopment analysis (DEA). The main factors affecting teams’ efficiency levels are investigated using cluster analysis. For a sample of Spanish football clubs, the findings indicate that clubs achieved a relatively high efficiency level for the period studied, and that the oldest teams with the most assets had the highest efficiency scores. These results could help club managers to improve the performance of their teams.


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