On alternative optimal solutions in the estimation of returns to scale in DEA

DOI10.1016/S0377-2217(97)00378-0zbMath0964.90022OpenAlexW2031796030MaRDI QIDQ1296013

Lawrence M. Seiford, Joe Zhu

Publication date: 23 July 2001

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(97)00378-0

zbMATH Keywords

data envelopment analysisreturns to scaleefficient decision making unit

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (11)

A spatiotemporal data envelopment analysis (S-T DEA) approach: the need to assess evolving units ⋮ Returns to scale and most productive scale size in DEA with negative data ⋮ Measurement of returns to scale using a non-radial DEA model: a range-adjusted measure approach ⋮ The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane ⋮ On a basic definition of returns to scale ⋮ Returns to scale in different DEA models. ⋮ An additive model approach for estimating returns to scale in imprecise data envelopment analysis ⋮ The Indian auto component industry - estimation of operational efficiency and its determinants using DEA ⋮ Further discussion on linear production functions and DEA ⋮ One-sided elasticities and technical efficiency in multi-output production: a theoretical framework ⋮ The nearest MPSS pattern in data envelopment analysis

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Estimating most productive scale size using data envelopment analysis
• A discussion of testing DMUs' returns to scale
• Estimation of returns to scale using data envelopment analysis
• Equivalence and implementation of alternative methods for determining returns to scale in data envelopment analysis
• Duality, classification and slacks in DEA
• Indicators of Ill-Conditioned Data Sets and Model Misspecification in Data Envelopment Analysis: An Extended Facet Approach

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