Data Envelopment Analysis

By R. Leone. Encyclopedia of Optimization, 2009

1,496 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bd512f2421d96ed8f021e30890df510cfebee871

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Citations in the corpus

A Dea-Logistics Performance Index (2017, unknown): “There exist a number of papers that analyze under different perspective the previous research that have appeared in the DEA literature (Charnes et al. 1994; Emrouznejad et al. 2008; Cook and Seiford 2009; Cooper et al. 2011; Zhu 2014).”
Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach (2020, background): “There is a strand of literature that, using also as a basis the discriminatory power, argue the necessity of controlling the values of the weights [4, 15, 19, 29, 32, 35].”
An Efficiency Perspective on Carbon Emissions and Financial Performance (2020, methodology): “…are directly linked to the production decision, an appropriate method to evaluate the efficiency of carbon management will be a joint production framework, accounting for total factor productivity aspects (see, e.g., Cooper et al., 2007; Mandal and Madheswaran, 2010; Mahlberg et al., 2011).”
Future challenges for the maturing Norwegian salmon aquaculture industry: An analysis of total factor productivity change from 1996 to 2008 (2013, unknown): “A general introduction to DEA can be found in Cooper et al. (2000) and Coelli et al. (2005).”
Efficiency and productivity (2008, unknown): “In addition to these Chapters, we recommend comprehensive treatments of the econometric approach by Kumbhakar and Lovell (2000), and of the programming approach by Cooper et al. (2000).”
Making forestry decisions with multiple criteria: A review and an assessment (2008, methodology): “Thus, Kao and Yang (1991, 1992) and Kao et al. (1993) used a methodology based on DEA with the purpose of studying the efficiency of Taiwanese forests.”
Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index (2008, unknown): “We then address uncertainty and sensitivity analysis associated with our DEA model in Section 4.”
Using least squares and tobit in second stage DEA efficiency analyses (2009, methodology): “Some procedures have been developed that incorporate the influence of efficiency factors in the DEA analysis (see Cooper et al., 2000; Coelli et al., 1999; Fried et al., 1999; Grosskopf, 1996), but the two-stage procedure is very appealing both in terms of its simplicity and the way efficiency is…”
Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture ☆ (2015, unknown): “One of common challenges in applications of data envelopment analysis (DEA) is the low discriminating power of the models used – this is the ability of the DEA models to differentiate between good and bad performing decision making units (DMUs) by reflecting their performance in a sufficiently wide ”
Do government grants promote innovation efficiency in China's high-tech industries? (2016, background): “Cruz-Cázares et al. (2013) used R&D capital stock and high-skill staff as input factors to measure technological innovation efficiency.”