scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Measuring ecological efficiency with data envelopment analysis (DEA)

16 Jul 2001-European Journal of Operational Research (Elsevier BV)-Vol. 132, Iss: 2, pp 312-325
TL;DR: 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.
Citations
More filters
Journal ArticleDOI
TL;DR: A literature survey on the application of data envelopment analysis (DEA) to E&E studies is presented and an introduction to the most widely used DEA techniques is introduced.

1,068 citations

Journal ArticleDOI
TL;DR: In this article, the data envelopment analysis (DEA) method was adapted for the purpose of eco-efficiency measurement of road transportation in three largest towns of eastern Finland, and the proposed approach is illustrated by an application to assessing ecoefficiency of road transport in the three largest cities of Eastern Finland.
Abstract: Summary Aggregation of environmental pressures into a single environmental damage index is a major challenge of eco-efficiency measurement. This article examines how the data envelopment analysis (DEA) method can be adapted for this purpose. DEA accounts for substitution possibilities between different natural resources and emissions and does not require subjective judgment about the weights. Although DEA does not require subjective or normative judgment, soft weight restrictions can be incorporated into the framework. The proposed approach is illustrated by an application to assessing ecoefficiency of road transportation in the three largest towns of eastern Finland.

504 citations


Additional excerpts

  • ...framework: see Dyckhoff and Allen (2001). 5....

    [...]

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper conducted an eco-efficiency analysis for regional industrial systems in China by developing data envelopment analysis (DEA) based models, which showed that Tianjing, Shanghai, Guangdong, Beijing, Hainan and Qinghai are relatively eco-efficient.

431 citations

Journal ArticleDOI
TL;DR: It is found that the environmental performance of OECD countries as a whole has been improved from 1995 to 1997 and a non-radial Malmquist environmental performance index for modeling the change of environmental performance over time is presented.

430 citations


Cites background from "Measuring ecological efficiency wit..."

  • ..., 1992; Hawdon, 2003), assess energy efficiencies of different organizations (Boyd and Pang, 2000; Ramanathan, 2000) and measure ecological efficiency (Dyckhoff and Allen, 2001; Korhonen and Luptacik, 2004)....

    [...]

  • ...…widely applied to estimate the technical efficiency of energy industries (Thompson et al., 1992; Hawdon, 2003), assess energy efficiencies of different organizations (Boyd and Pang, 2000; Ramanathan, 2000) and measure ecological efficiency (Dyckhoff and Allen, 2001; Korhonen and Luptacik, 2004)....

    [...]

Journal ArticleDOI
TL;DR: In this article, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency, where the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes.
Abstract: The main aim of this review article is to review of DEA models in regarding to energy efficiency. This paper reviewed and summarized the different models of DEA that have been applied around the world to development of energy efficiency problems. Consequently, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency. Accordingly, the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes. Results of this review paper indicated that DEA showed great promise to be a good evaluative tool for future analysis on energy efficiency issues, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire.

414 citations

References
More filters
Journal ArticleDOI
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.

25,433 citations

Journal ArticleDOI
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.
Abstract: In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serves as a planning aid to management. Data Envelopment Analysis reverses this role and employs mathematical programming to obtain ex post facto evaluations of the relative efficiency of management accomplishments, however they may have been planned or executed. Mathematical programming is thereby extended for use as a tool for control and evaluation of past accomplishments as well as a tool to aid in planning future activities. 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. A separation into technical and scale efficiencies is accomplished by the methods developed in this paper without altering the latter conditions for use of DEA directly on observational data. Technical inefficiencies are identified with failures to achieve best possible output levels and/or usage of excessive amounts of inputs. Methods for identifying and correcting the magnitudes of these inefficiencies, as supplied in prior work, are illustrated. In the present paper, a new separate variable is introduced which makes it possible to determine whether operations were conducted in regions of increasing, constant or decreasing returns to scale in multiple input and multiple output situations. The results are discussed and related not only to classical single output economics but also to more modern versions of economics which are identified with "contestable market theories."

14,941 citations

Book
01 Jan 1976
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.
Abstract: Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how 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. The theory is illustrated by many real concrete examples taken from a host of disciplinary settings. The standard approach in decision theory or decision analysis specifies a simplified single objective like monetary return to maximise. By generalising from the single objective case to the multiple objective case, this book considerably widens the range of applicability of decision analysis.

8,895 citations

Book
01 Aug 1989
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.
Abstract: 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 Optimal Weighting Vectors, Scaling and Reduced Feasible Region Methods Vector-Maximum Algorithms Goal Programming Filtering and Set Discretization Multiple Objective Linear Fractional Programming Interactive Procedures Interactive Weighted Tchebycheff Procedure Tchebycheff/Weighted-Sums Implementation Applications Future Directions Index.

3,280 citations

Journal ArticleDOI
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.

1,605 citations