Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

By C. Sarrico. Journal of the Operational Research Society, 2001

1,237 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8e3410d980098565e95dc74d4957590a1e168dd7

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Citations in the corpus

Do mergers improve efficiency? Evidence from restructuring the US electric power sector (2010, neutral): “See Coelli et al (1998) and Cooper et al (2000).”
Efficiency Measurement in the Port Industry: A Survey of the Empirical Evidence (2009, background): “Liu (1995) and Cullinane and Song (2003) define input capital as the net value of fixed capital.”
Changes in Operational Efficiency and Firm Performance: A Frontier Analysis Approach (2013, neutral): “More importantly, DEA avoids a need for a priori choices of factor weights because optimal weights are derived from the data (Cooper et al. 2000).”
A modified DEA model to estimate the importance of objectives with an application to agricultural economics (2010, background): “More details about the MAUT approach can be found in Keeney and Raiffa (1976), Edwards (1977), Farmer (1987), Amador et al.”
Review of efficiency ranking methods in data envelopment analysis (2017, neutral): “While all these alternative models are widely applied in DEA (readers are referred to [20] for more details on their features and applications), some can resolve the ranking issue”
Returns to scale in different DEA models (2004, methodology): “To see what this means we follow Cooper et al. (2000) and consider the proportions represented by b, a in ðX o a; Y o bÞ ð 12Þ with b, a P 0 representing scalars and X o and Y o representing input and output vectors, respectively , for DMU o .”
The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA (2018, methodology): “…for estimating the efficiency with which different decision-making units or DMUs (which can be schools, hospitals, retailers, etc.) are able to convert their resources (usually called inputs in the DEA literature) to good performance - usually called outputs (Cooper et al., 2007; Ramanathan, 2003).”
Continuous Optimization A slacks-based measure of super-efficiency in data envelopment analysis (2002, background): “In most models of Data Envelopment Analysis (DEA) (Charnes et al., 1978; Cooper et al., 2000), the best performers have efficiency score unity, and, from experience, we know that usually there are plural Decision Making Units (DMUs) which have this ‘‘efficient status’’.”
Some models and measures for evaluating performances with DEA: past accomplishments and future prospects (2007, background): “See Cooper et al. (2000) for a use of this concept that extends the usual elasticities and rates of substitution (ceteris paribus) approaches in economics to more general mutatis mutandis approaches.”
Energy efficiency for wheat production using data envelopment analysis (DEA) technique. (2010, background): “In other words, it can be stated as the ratio of sum of weighted outputs to sum of weighted inputs and can be shown as following formula (Cooper et al., 2004): (2) where ‘x’ and ‘y’ are input and output and ‘v’ and ‘u’ are input and output weights, respectively, ‘s’ is number of inputs (s = 1,2,. .”
Social and financial efficiency of Islamic microfinance institutions:a Data Envelopment Analysis application (2015, background): “cost per unit, production per labour hour (Cooper et al., 2000).”