2013
DOI: 10.1016/j.apm.2012.07.010
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A new proposed model of restricted data envelopment analysis by correlation coefficients

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Cited by 25 publications
(8 citation statements)
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“…The CCR model assumes constant returns to scale (CRS) (Mecit and Alp, 2013). The BCC estimates the pure technical efficiency with reference to the efficient frontier (Banker et al, 1984).…”
Section: Methodsmentioning
confidence: 99%
“…The CCR model assumes constant returns to scale (CRS) (Mecit and Alp, 2013). The BCC estimates the pure technical efficiency with reference to the efficient frontier (Banker et al, 1984).…”
Section: Methodsmentioning
confidence: 99%
“…To avoid this shortcoming, weight restrictions should be added to Equation (Angulo‐Meza & Lins, ; Cherchye et al, ; Mecit & Alp, ). In this paper, the virtual weight restrictions first proposed by Wong and Beasley () are used.…”
Section: Methodsmentioning
confidence: 99%
“…Values of the correlation coefficient are always between –1 and +1. A correlation coefficient of +1 indicates that two variables are perfectly related in a positive linear sense, a correlation coefficient of –1 indicates that two variables are perfectly related in a negative linear sense, and a correlation coefficient of 0 indicates that there is no linear relationship between the two variables [12] . In this study, Pearson correlation was used to describe the relationship between two continuous variables that are both normally distributed.…”
Section: Methodsmentioning
confidence: 99%