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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Assessing environmental performance in the European Union: Eco-innovation versus catching-up
TL;DR: In this article, the authors assess environmental performance in the European Union (EU) using Luenberger productivity indicators, directional distance functions and Data Envelopment Analysis techniques, and distinguish between the periods of economic growth and severe crisis (2007-13).
Journal ArticleDOI
A new approach in modelling undesirable output in DEA model
TL;DR: A ratio model is proposed to evaluate the undesirable as well as the desirable outputs simultaneously simultaneously and reveals that the production output-oriented efficiency evaluation can be significantly altered once the environmental aspects are factored into the model.
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Eco-efficiency and eco-productivity change over time in a multisectoral economic system
TL;DR: The proposed model is applied to investigate eco-productivity growth of the Austrian economy and defines eco-efficient virtual decision making units (DMUs), a solution of a data envelopment analysis (DEA) model with virtual DMUs defining the potential and a DMU describing the actual performance of the economy.
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The dry port concept – Theory and practice
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Investment strategy for sustainable society by development of regional economies and prevention of industrial pollutions in Japanese manufacturing sectors
Toshiyuki Sueyoshi,Mika Goto +1 more
TL;DR: In this article, a new use of DEA environmental assessment is proposed to determine how to effectively allocate capital for developing regional industries. But, the proposed approach separates outputs into desirable and undesirable categories, and the amount of capital used to invest for technology innovation for both local economic growth and environmental protection.
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.
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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.