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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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Data Envelopment Analysis in Environmental Valuation : Environmental Performance, Eco-efficiency and Cost-Benefit Analysis
Mika Kortelainen,Timo Kuosmanen +1 more
TL;DR: In this article, the authors present basic principles of DEA and evaluate its application possibilities for a range of environmental valuation problems, including environmental performance, eco-efficiency, and cost benefit analysis.
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Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach
TL;DR: In this article, the authors proposed an approach incorporating the meta-frontier method, global benchmark technology, and non-radial directional distance function to accurately evaluate the dynamic changes in the energy-carbon performance of the sector and to propose alternatives for sustainable development.
Journal ArticleDOI
Generalized DEA: an approach for supporting input/output factor determination in DEA
TL;DR: In this article, the problems of input/output factor determination are discussed from a goal-oriented perspective, shedding a new light on the role of inputs/output factors in DEA.
Journal ArticleDOI
Exploring the water–energy–food nexus from a perspective of agricultural production efficiency using a three-stage data envelopment analysis modelling evaluation method: a case study of the middle and lower reaches of the Yangtze River, China
Jiazhong Zheng,Weiguang Wang,Dan Chen,Dan Chen,Xinchun Cao,Xinchun Cao,Wanqiu Xing,Yimin Ding,Qing Dong,Ting Zhou +9 more
TL;DR: Wang et al. as discussed by the authors adopted a three-stage data envelopment analysis (DEA) modeling evaluation method to assess the agricultural production efficiency (APE) of seven provinces in the middle and lower reaches of the Yangtze River (MLYR) during 1996-2015.
Journal ArticleDOI
The desirable input of undesirable factors in data envelopment analysis
TL;DR: It is exemplarily demonstrated how DEA models with bads as inputs (and outputs) can be systematically derived from a decision-theoretic generalization of DEA methodology proposed in the literature.
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.