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Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis...
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Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis (DEA)

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: closed (20 June 2019) | Viewed by 14863

Printed Edition Available!
A printed edition of this Special Issue is available here.

Special Issue Editors

Prof. Dr. Ramon Sala-Garrido

E-Mail Website
Guest Editor
Economic and Business Mathematics Department, University of Valencia, 46010 Valencia, Spain
Interests: benchmarking; water economics; optimization
Special Issues, Collections and Topics in MDPI journals
Dr. María Molinos-Senante

E-Mail Website
Guest Editor
Department of Hydraulics and Environmental Engineering, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile
Interests: sustainability; urban water cycle; water–energy nexus; performance assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Efficiency and productivity assessment is essential to ensure the long-term financial sustainability of countries, services and processes. In the last few years, there has been an increasing interest in the environmental effects of economic activities and the need to assess the environmental and energy efficiency has been internationally recognized. From a methodological point of view, among other approaches, Data Envelopment Analysis (DEA) has been recognized as a useful technique to evaluate the efficiency of Decision Making Units (DMUs). Since the pioneering CCR-DEA model proposed by Charnes et al. (1978), several alternative and advanced models have been developed to assess, specifically, energy and environmental efficiency, and the productivity of DMUs. Energy and environmental efficiency assessments of DMUs, such as countries, utilities, processes and services are relevant and have strong implications for companies, regulators, stakeholders, policy makers, and customers. To improve both the decision-making process and the management of DMUs, fundamental and practical knowledge about energy and environmental efficiency and productivity is essential.

This Special Issue provides a space to propose novel methodologies to evaluate energy and environmental efficiency and to discuss empirical case studies that are relevant to both the scientific community and decision makers.

We invite colleagues to contribute to this Special Issue. Potential topics include, but are not limited to:

  • Data Envelopment Analysis
  • Efficiency
  • Productivity
  • Energy
  • Environmental
  • Sustainability
  • Eco-efficiency
  • Climate change
  • Water utilities management
  • Waste management

Prof. Dr. Ramon Sala-Garrido
Dr. María Molinos-Senante
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

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Research

15 pages, 2787 KiB  
Article
Evaluating the Efficiency of Transit-Oriented Development Using Network Slacks-Based Data Envelopment Analysis
by Eun Hak Lee, Hosuk Shin, Shin-Hyung Cho, Seung-Young Kho and Dong-Kyu Kim
Energies 2019, 12(19), 3609; https://doi.org/10.3390/en12193609 - 21 Sep 2019
Cited by 13 | Viewed by 2848
Abstract
The purpose of this research is to evaluate transit-oriented development (TOD) efficiency in Seoul using the network slacks-based measure data envelopment analysis (NSBM DEA) model. The smartcard data and socio-economic data are used to evaluate the transit efficiency of 352 subway station areas [...] Read more.
The purpose of this research is to evaluate transit-oriented development (TOD) efficiency in Seoul using the network slacks-based measure data envelopment analysis (NSBM DEA) model. The smartcard data and socio-economic data are used to evaluate the transit efficiency of 352 subway station areas in Seoul. To measure the TOD efficiency, the two-stage network is designed with the transit design stage and the transit efficiency stage. The overall efficiency score of each station area is estimated through each score of the stage. The results of the efficiency evaluation by station area indicate that the overall efficiency score average is 0.349, with the transit design score and efficiency score estimated to be 0.453 and 0.245, respectively. The results indicate that the balance of each stage is crucial to achieve an efficient station in the concept of transit efficiency. With the efficiency scores of the 352 subway station areas, the TOD efficiency is also evaluated by the administrative units in Seoul. The results of district analysis reveal that the top 10 efficient administrative units are characterized by both residential and commercial land use. The results indicate that efficiency is found to be good in areas having both residential and commercial characteristics. Full article
(This article belongs to the Special Issue Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis (DEA))
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27 pages, 1663 KiB  
Article
Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach
by Boban Djordjević and Evelin Krmac
Energies 2019, 12(15), 2907; https://doi.org/10.3390/en12152907 - 28 Jul 2019
Cited by 37 | Viewed by 2715
Abstract
Transport is recognized as a major energy consumer and environment pollutant. Recently scholars have paid considerable attention to the evaluation of transport energy and environmental efficiency (EEE). In this paper, the non-radial Data Envelopment Analysis (DEA) model was employed to evaluate [...] Read more.
Transport is recognized as a major energy consumer and environment pollutant. Recently scholars have paid considerable attention to the evaluation of transport energy and environmental efficiency (EEE). In this paper, the non-radial Data Envelopment Analysis (DEA) model was employed to evaluate EEE on a macro level—i.e., of European road, rail and air sectors. The evaluation was conducted under the joint production framework, which considers energy and non-energy inputs, and desirable and undesirable outputs for the last ten years period. To rank decision-making units and check the aptness of this non-radial DEA model in transport EEE evaluation, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method has been proposed. An empirical study has been conducted for as many European countries as possible, depending on availability of data. Based on the non-radial DEA model, it could be said that the level of EEE is improving for the road sector, while many evaluated countries have low EEE for the rail transport sector. Additionally, results have indicated that the TOPSIS method is more suitable than the non-radial DEA model in transport EEE evaluation and for identification of best practices. Full article
(This article belongs to the Special Issue Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis (DEA))
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19 pages, 2783 KiB  
Article
A Two-Phase Method to Assess the Sustainability of Water Companies
by Fátima Pérez, Laura Delgado-Antequera and Trinidad Gómez
Energies 2019, 12(13), 2638; https://doi.org/10.3390/en12132638 - 09 Jul 2019
Cited by 13 | Viewed by 3095
Abstract
Composite indicators are becoming more relevant for evaluating the performance of water companies from a holistic perspective. Some of them are related with economic aspects, and others focus on social and environmental features. Consequently, a multidimensional evaluation is necessary for handling the great [...] Read more.
Composite indicators are becoming more relevant for evaluating the performance of water companies from a holistic perspective. Some of them are related with economic aspects, and others focus on social and environmental features. Consequently, a multidimensional evaluation is necessary for handling the great amount of information provided by multiple single indicators of a different nature. This paper presents a two-phase approach to evaluate the sustainability of water companies. First, a partial composite indicator for each dimension (social, environmental, economic) is obtained using multi-criteria decision making (MCDM). Then, a global indicator is obtained, in terms of the values reached in the previous stage for every partial indicator, by means an optimization problem rooted in data envelopment analysis (DEA). Our proposal offers the possibility of analyzing the performance of each water company under each dimension that characterizes the concept of sustainability, as well as a joint assessment including all the dimensions, facilitating the decision-making process. We apply it to evaluate the sustainability of 163 Portuguese water companies. The results show the strengths and weaknesses of each unit and serve as a guideline to decision-makers on the aspects for improving the performance of water utilities. Full article
(This article belongs to the Special Issue Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis (DEA))
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11 pages, 820 KiB  
Article
Assessment of Energy Efficiency and Its Determinants for Drinking Water Treatment Plants Using A Double-Bootstrap Approach
by María Molinos-Senante and Ramón Sala-Garrido
Energies 2019, 12(4), 765; https://doi.org/10.3390/en12040765 - 25 Feb 2019
Cited by 8 | Viewed by 3221
Abstract
To achieve energy and climate goals, the energy performance of current and future drinking water treatment plants (DWTPs) must be improved. A few studies have evaluated the energy efficiency of these facilities using data envelopment analysis (DEA), however, they have ignored the deterministic [...] Read more.
To achieve energy and climate goals, the energy performance of current and future drinking water treatment plants (DWTPs) must be improved. A few studies have evaluated the energy efficiency of these facilities using data envelopment analysis (DEA), however, they have ignored the deterministic nature of the DEA method. To overcome this limitation, a double-bootstrap DEA approach was used in this study to estimate the energy efficiency of DWTPs. For a sample of Chilean DWTPs, bias-corrected energy efficiency scores were computed with consideration of data variability, and the determinants of DWTP energy efficiency were explored. Most DWTPs in the sample had much room for the improvement of energy efficiency. In the second stage of analysis, facility age, the volume of water treated, and the technology used for treatment were found to influence DWTP energy efficiency. These findings demonstrate the importance of using a reliable and robust method to evaluate the energy efficiency of DWTPs, which is essential to support decision making and to benchmark these facilities’ energy performance. Full article
(This article belongs to the Special Issue Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis (DEA))
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16 pages, 1246 KiB  
Article
Estimating Relative Efficiency of Electricity Consumption in 42 Countries during the Period of 2008–2017
by Chia-Nan Wang, Quoc-Chien Luu and Thi-Kim-Lien Nguyen
Energies 2018, 11(11), 3037; https://doi.org/10.3390/en11113037 - 05 Nov 2018
Cited by 2 | Viewed by 2384
Abstract
Augmentation of electrical equipment is pushing for an increase in energy supply sources all over the world, as electricity consumption (EC) typically rises with growing populations. The value of EC reveals economic development and degree of emissions. Therefore, this research uses the undesirable [...] Read more.
Augmentation of electrical equipment is pushing for an increase in energy supply sources all over the world, as electricity consumption (EC) typically rises with growing populations. The value of EC reveals economic development and degree of emissions. Therefore, this research uses the undesirable outputs model in data envelopment analysis (DEA) for estimating relative efficiency of electricity consumption in 42 countries from 2008 to 2017. According to the principle of an undesirable outputs model and studied objectives, variables are selected that included population and EC as inputs, gross domestic product (GDP) as desirable output, and carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) as undesirable outputs. The empirical results indicate that 420 terms of 42 countries during the period of 2008–2017 have 102 efficient and 310 inefficient terms. Moreover, the interplay level between input and output factors every year is presented via scores. The study suggests the effect of EC to human life and propounds the emission status to look for directions to overcome inefficient terms. Full article
(This article belongs to the Special Issue Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis (DEA))
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