Nonparametric production technologies with weakly disposable inputs
From MaRDI portal
Publication:1754081
DOI10.1016/j.ejor.2017.09.030zbMath1403.90424OpenAlexW2760017576MaRDI QIDQ1754081
Mahmood Mehdiloozad, Victor V. Podinovski
Publication date: 30 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://dspace.lboro.ac.uk/2134/26610
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)
Undesirable factors and marginal rates of substitution in data envelopment analysis ⋮ Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: a bi-level linear programming approach in data envelopment analysis ⋮ Selective strong and weak disposability in efficiency analysis ⋮ Cone extensions of polyhedral production technologies ⋮ 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
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- Efficiency analysis with ratio measures
- Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions
- Degree of scale economies and congestion: a unified DEA approach
- Profit, directional distance functions, and Nerlovian efficiency
- The denominator rule for share-weighting aggregation
- Efficiency measures and computational approaches for data envelopment analysis models with ratio inputs and outputs
- Non-convex technologies and cost functions: definitions, duality and nonparametric tests of convexity
- Selective convexity in DEA models
- A generalized multiplicative directional distance function for efficiency measurement in DEA
- Marginal Values and Returns to Scale for Nonparametric Production Frontiers
- Convex Input and Output Projections of Nonconvex Production Possibility Sets
- Data Envelopment Analysis on a Relaxed Set of Assumptions
- Measuring congestion in production
- DEA on Relaxed Convexity Assumptions
- Bridging the gap between the constant and variable returns-to-scale models: selective proportionality in data envelopment analysis
- DEA with efficiency classification preserving conditional convexity
This page was built for publication: Nonparametric production technologies with weakly disposable inputs