Journal ArticleDOI
Measuring ecological efficiency with data envelopment analysis (DEA)
Harald Dyckhoff,Katrin Allen +1 more
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This article aims at the systematic derivation of ecologically extended DEA models by incorporating a multi-dimensional value function f .About:
This article is published in European Journal of Operational Research.The article was published on 2001-07-16. It has received 449 citations till now. The article focuses on the topics: Data envelopment analysis.read more
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Investigating the dynamic eco-efficiency in agriculture sector of the European Union countries
TL;DR: In this paper, the authors applied a Window Slack-Based Measurement Data Envelopment Analysis (W-SBM-DEA) model in the presence of undesirable outputs to evaluate the performance of agriculture sector of EU-27 countries during the period from 2008 to 2017.
Journal ArticleDOI
The intermediate approach to sustainability enhancement and scale-related measures in environmental assessment
TL;DR: This study uses the method and discusses how to measure the level of sustainability, implying simultaneous achievement of economic prosperity and environmental protection within a unified framework, and focuses in particular on its scale-related measures such as scale efficiency, returns to scale, and damages to scale.
Journal ArticleDOI
Critical Analysis of Methods for Integrating Economic and Environmental Indicators
TL;DR: The weighted-addition provides a fair evaluation of the integrated performance of a system, with regard to the decision-maker's preference for ecology and economy, which is crucial to reconcile trade-offs between conflicting criteria.
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Medición de la ecoeficiencia en procesos productivos en el sector agrario. Caso de estudio sobre producción de cítricos
TL;DR: In this paper, the authors evaluated the eco-efficiency of orange production in the Comunidad Valenciana in terms of the "economic value/environmental impacts" ratio.
Posted Content
Supplier selection problem: A literature review of Multi-criteria approaches based on DEA
TL;DR: This paper reviews the literature of the multi-criteria decision making approaches for evaluation and selection supplier based on Data Envelopment Analysis (DEA) and (its their) combinations.
References
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
Book
Decisions with Multiple Objectives: Preferences and Value Trade-Offs
TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
Book
Multiple Criteria Optimization: Theory, Computation, and Application
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Journal ArticleDOI
Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions
TL;DR: The construction and analysis of Pareto-efficient frontier production functions by a new Data Envelopment Analysis method is presented in the context of new theoretical characterizations of the inherent structure and capabilities of such empirical production functions.