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Productivity Analysis and Variable Returns of Scale: DEA Efficiency Frontier Interpretation
Author(s) -
Juliana Benício,
João Carlos Correia Baptista Soares de Mello
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.059
Subject(s) - returns to scale , variable (mathematics) , efficient frontier , computer science , productivity , perspective (graphical) , scale (ratio) , data envelopment analysis , econometrics , frontier , interpretation (philosophy) , mathematical optimization , economics , macroeconomics , mathematics , financial economics , production (economics) , artificial intelligence , portfolio , history , mathematical analysis , physics , archaeology , quantum mechanics , programming language
The main objective of this paper is to analyze DMUs efficiency from the perspective of variable returns to scale. Thus, a case study is proposed, where the efficiencies of DMUs suffer variation according to the methods used in the analysis. The classic models of DEA, CCR and BCC, and a new model proposed by the authors, will have their results compared to classical foundations of the economy. The case study will examine the efficiency of administrative units selected of Undergraduate Higher Education

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