Environmental Efficiency Measurement Based on Cross-Efficiency DEA Models in Power Industry

2011 ◽  
Vol 63-64 ◽  
pp. 659-663 ◽  
Author(s):  
Dan Niu ◽  
Shu Yu Guo
Keyword(s):  
Air Pollution ◽  
Power Industry ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Practical Application ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Dea Models ◽  
Components Analysis ◽  
Hierarchy Process

Air pollution becomes more serious with the development of industry. Taking the “sustainable development” into account, more and more corporations consider environment as an important feature in their products. Because coal is the main consumption of power industry and coal combustion can produce air pollution seriously, how to measure the environmental efficiency in power industry becomes more significant. Although there are many of synthetic evaluation methods were proposed for measuring the green degree of production, such as AHP (Analytic Hierarchy Process), PCA (Principal Components Analysis), DEA (Data Envelopment Analysis) etc., the shortcomings of each method for measure green performance are appeared in practical application. A peer appraisal methodology, denoted as cross-efficiency DEA, was applied in this paper to measure the environmental efficiency of power industry in US.

scholarly journals Evaluating Environmental Efficiency of Turkish Cities by Data Envelopment Analysis

2015 ◽  
Vol 17 (2) ◽  
pp. 281-290 ◽  
Keyword(s):  
Water Pollution ◽  
Air Pollution ◽  
Economic Development ◽  
Data Envelopment Analysis ◽  
Empirical Study ◽  
Rapid Growth ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Dea Models ◽  
The City

<p>Turkey is a developing country and has achieved impressive economic development in recent years. But this rapid growth has brought in many environmental problems in Turkish cities, such as air pollution, <a href="http://en.wikipedia.org/wiki/Water_pollution" title="Water pollution">water pollution</a> etc. In order to eliminate these problems, environmental performances of the city administrations must be evaluated. The objective of this empirical study is to evaluate the environmental efficiency of 81 Turkish provinces for the year 2010 by using by Data Envelopment Analysis (DEA) technique. Efficient and inefficient units were determined in the system by four proposed DEA models. According to each model, the environmental efficiency maps of Turkey are constructed and the risky regions of the country are determined.&nbsp;</p>

EFFICIENCY ANALYSIS OF PROVINCIAL DEPARTMENTS OF PHYSICAL EDUCATION IN IRAN

2012 ◽  
Vol 11 (05) ◽  
pp. 983-1008 ◽  
Author(s):  
JAHANGIR SOLEIMANI-DAMANEH ◽  
MAJID SOLEIMANI-DAMANEH ◽  
MEHRZAD HAMIDI
Keyword(s):  
Physical Education ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Scale Size ◽  
Dea Models ◽  
The Government ◽  
Student’S T ◽  
Most Productive Scale Size ◽  
Hierarchy Process

In many countries, including Iran, Provincial Departments of Physical Education try to develop the athletic sports and sports for all in their related areas (state), using the government resources. Their success rate has always been an important subject for the top sports managers of country. In this paper we use data envelopment analysis (DEA) and analytic hierarchy process (AHP) techniques for analyzing the performance of physical education organizations in Iran. Some convex and nonconvex DEA models have been used. Afterwards, we have used the Shannon's entropy for aggregating the results obtained from different models and providing a final efficiency score (FES) and a unified ranking. It can be seen that, in the ranking approach provided in this paper the most productive scale size (MPSS) units have the best rank (see Proposition 1). Our findings reveal that the average of FESs of the states is 0.472635 and 50% of the states have an FES more than this average. Classifying the sates to five efficiency classes, "Excellent, Good, Middle, Weak and Very Weak", the percentage of the states belonging to these classes are 6.7, 30, 16.6, 36.7 and 10, respectively. Also, some correlation and difference studies have been carried out using the Pearson's correlation and student's t-tests. Finally, comparisons between the results of some relevant existing publications and those given in the present paper are addressed.

scholarly journals An integrated approach to grey relational analysis, analytic hierarchy process and data envelopment analysis

2016 ◽  
Vol 9 (1) ◽  
pp. 71-86 ◽  
Author(s):  
Mohammad Sadegh Pakkar
Keyword(s):  
Data Envelopment Analysis ◽  
Grey Relational Analysis ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Attribute Weights ◽  
Relational Analysis ◽  
Dea Models ◽  
Grey Relational ◽  
Hierarchy Process

Purpose This paper aims to propose an integration of the analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods in a multiattribute grey relational analysis (GRA) methodology in which the attribute weights are completely unknown and the attribute values take the form of fuzzy numbers. Design/methodology/approach This research has been organized to proceed along the following steps: computing the grey relational coefficients for alternatives with respect to each attribute using a fuzzy GRA methodology. Grey relational coefficients provide the required (output) data for additive DEA models; computing the priority weights of attributes using the AHP method to impose weight bounds on attribute weights in additive DEA models; computing grey relational grades using a pair of additive DEA models to assess the performance of each alternative from the optimistic and pessimistic perspectives; and combining the optimistic and pessimistic grey relational grades using a compromise grade to assess the overall performance of each alternative. Findings The proposed approach provides a more reasonable and encompassing measure of performance, based on which the overall ranking position of alternatives is obtained. An illustrated example of a nuclear waste dump site selection is used to highlight the usefulness of the proposed approach. Originality/value This research is a step forward to overcome the current shortcomings in the weighting schemes of attributes in a fuzzy multiattribute GRA methodology.

Study of Influence of Road Construction on Grassland in Inner Mongolia

2013 ◽  
Vol 807-809 ◽  
pp. 1881-1885
Author(s):  
Chun Mei Zhang ◽  
Min Zhao ◽  
Xue Lv
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Inner Mongolia ◽  
Road Construction ◽  
Environment Protection ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Inner Mongolia Grassland ◽  
Hierarchy Process

In this paper, the indexes that are used to assess the influence of road construction on Inner Mongolia grassland have been proposed based on the environment protection perspective. The Analytic hierarchy process was employed to evaluate the importance of different indexes regarding to influence. These indexes would be used to provide information for decision making about road construction in order to achieve the sustainable development of grassland.

scholarly journals An Approach for Generating Weights Using the Pairwise Comparison Matrix

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zaher Sepehrian ◽  
Sahar Khoshfetrat ◽  
Said Ebadi
Keyword(s):  
Pairwise Comparison ◽  
Decision Criterion ◽  
Data Envelopment ◽  
Decision Criteria ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
Proposed Model ◽  
Assurance Region ◽  
Potential Applications ◽  
Hierarchy Process

Data envelopment analysis (DEA) has been used for obtaining weights for the analytic hierarchy process (AHP), an approach known as DEAHP. This method sometimes identifies more than one decision criterion or alternative as DEAHP-efficient. To overcome this problem, this paper proposes a new approach that not only generates appropriate weights for the decision criteria or alternatives, but also differentiates between DEAHP-efficient decision criteria or alternatives. To this end, we propose a DEA model with an assurance region and a cross-weight model that prioritizes decision criteria or alternatives by considering their most unfavorable weights. Two numerical examples are also provided to illustrate the advantages and potential applications of the proposed model.

scholarly journals An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria

2019 ◽  
Vol 11 (8) ◽  
pp. 2330 ◽  
Author(s):  
Patricija Bajec ◽  
Danijela Tuljak-Suban
Keyword(s):  
Data Envelopment Analysis ◽  
Service Providers ◽  
Performance Criteria ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Dea Model ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Proposed Model ◽  
Hierarchy Process

Sustainable concerns are reputed to be of the utmost priority among governments. Consequently, they have become more and more of a concern among supply chain partners. Logistics service providers (LPs), as significant contributors to supply chain success but also one of the greatest generator of emissions, play a significant role in reducing the negative environmental impact. Thus, the performance evaluations of LPs should necessarily involve such a measure which, firstly, represents a balance between all three pillars of sustainability and, secondly, consider the desirable and undesirable performance criteria. This paper proposes an integrated analytic hierarchy process (AHP) and slack-based measure (SBM) data envelopment analysis (DEA) model, based on the assumption of a variable return to scale (VRS). An AHP pairwise comparison enables selecting the most influential input/output variables. Output-oriented SBM DEA provides simultaneously evaluation of both the undesirable and desirable outputs. The proposed model was tested on a numerical example of 18 LPs. The comparison of output Charnes, Cooper and Rhodes (CCR) and SBM DEA models resulted in a higher number of inefficient LPs when the SBM DEA model was applied. Moreover, efficiency scores of inefficient LPs were lower in SBM DEA model. The proposed model is fair to those LPs that are environmentally friendly.

Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability

2019 ◽  
pp. 135481661988520
Author(s):  
Joseph Andria ◽  
Giacomo di Tollo ◽  
Raffaele Pesenti
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Entropy Maximization ◽  
Tourist Destinations ◽  
Hierarchy Process ◽  
Direct Applicability

In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.

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