Weak disposability in nonparametric production analysis: a new taxonomy of reference technology sets

DOI10.1016/j.ejor.2018.09.019zbMath1431.91195OpenAlexW2894471217WikidataQ129199981 ScholiaQ129199981MaRDI QIDQ1755246

Valentin Zelenyuk, Manh D. Pham

Publication date: 9 January 2019

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

Full work available at URL: https://espace.library.uq.edu.au/view/UQ:25a68db/UQ25a68db_OA.pdf

zbMATH Keywords

data envelopment analysismathematical programmingundesirable outputsweak disposabilityenvironmental performance

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Production models (90B30) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Production theory, theory of the firm (91B38)

Related Items (6)

Variable and Constant Returns-to-Scale Production Technologies with Component Processes ⋮ Performance Analysis: Economic Foundations and Trends ⋮ Interest rate liberalization and bank efficiency: a DEA analysis of Chinese commercial banks ⋮ Selective strong and weak disposability in efficiency analysis ⋮ Direct estimation of marginal characteristics of nonparametric production frontiers in the presence of undesirable outputs ⋮ Strong, weak and Farrell efficient frontiers of technologies satisfying different production assumptions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• ASYMPTOTICS AND CONSISTENT BOOTSTRAPS FOR DEA ESTIMATORS IN NONPARAMETRIC FRONTIER MODELS
• Characteristics of a polluting technology: theory and practice
• Modelling pollution-generating technologies in performance benchmarking: recent developments, limits and future prospects in the nonparametric framework
• Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions
• Alternative measures of environmental technology structure in DEA: an application
• A computationally efficient, consistent bootstrap for inference with non-parametric DEA estimators
• Computational strategy for Russell measure in DEA: second-order cone programming
• Measuring output efficiency
• Applications of second-order cone programming
• Fundamentals of production theory
• Profit, directional distance functions, and Nerlovian efficiency
• Semi-disposability of undesirable outputs in data envelopment analysis for environmental assessments
• Second order cone programming approach to two-stage network data envelopment analysis
• Generalised weak disposability and efficiency measurement in environmental technologies
• The Russell measure model: computational aspects, duality, and profit efficiency
• Efficient estimation of monotone boundaries
• Shadow pricing of undesirable outputs in nonparametric analysis
• Benefit and distance functions
• THE FDH ESTIMATOR FOR PRODUCTIVITY EFFICIENCY SCORES
• Marginal Values and Returns to Scale for Nonparametric Production Frontiers
• The Structure of Technical Efficiency
• The Measurement of Waste within the Production Sector of an Open Economy
• Convex Input and Output Projections of Nonconvex Production Possibility Sets
• Data Envelopment Analysis on a Relaxed Set of Assumptions
• Measuring congestion in production
• Note—Notions of Efficiency and Their Reference Sets
• Piecewise Loglinear Estimation of Efficient Production Surfaces
• Note—On Piecewise Reference Technologies
• Congestion of Production Factors
• DEA on Relaxed Convexity Assumptions
• WHEN BIAS KILLS THE VARIANCE: CENTRAL LIMIT THEOREMS FOR DEA AND FDH EFFICIENCY SCORES
• The Coefficient of Resource Utilization

This page was built for publication: Weak disposability in nonparametric production analysis: a new taxonomy of reference technology sets