Multi-level DEA for the construction of multi-dimensional indices

Tsaples, Georgios; Papathanasiou, Jason

doi:10.1016/j.mex.2020.101169

Cited by 5 publications

(9 citation statements)

References 17 publications

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“…The authors study the concept of sustainability and how DEA has tackled it and consider environmental performance as one of the dimensions of sustainability. Furthermore, Tsaples and Papathanasiou [79] use different combinations of inputs, intermediate measures and outputs to calculate the environmental performance of EU countries.…”

Section: Applicationmentioning

confidence: 99%

“…For the case study, the following measures are used: The data source is Eurostat (https://ec.europa.eu/eurostat (accessed on 10 January 2021)) for the year 2018, which was the latest common year for which data were available for all countries during the writing of the current paper. The choice of the specific parameters was based on the works of Tsaples and Papathanasiou [78,79]. However, as the authors note in their literature review [24], despite the commonalities, the works in the literature use different sets of inputs and outputs to measure sustainability.…”

Section: Applicationmentioning

confidence: 99%

Section: Multi-dimensional Dea For the Construction Of Composite Indi...mentioning

confidence: 99%

“…However, for a more inclusive calculation of sustainability that is not limited by the number of inputs and outputs that can be used, the proposed alternative, two-stage model that was described by Equations ( 11)-( 20) can be incorporated in the framework proposed by Tsaples and Papathanasiou [79] and shown in Figure 2. Each sub-indicator/dimension is calculated using Equations ( 11)-( 20) and the overall performance of each sub-indicator/dimension is used in a Benefit-of-the-Doubt (BoD) model to calculate the overall sustainability index.…”

Section: Multi-dimensional Dea For the Construction Of Composite Indi...mentioning

confidence: 99%

“…The choice of the parameters that were used to form the various sub-indicators was based on the literature (from works such as [9,24,73,[78][79][80][81]94,95]) and the availability of common data. The authors do not claim that the list is exhaustive, but it serves to illustrate the capabilities of the proposed computational framework.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

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An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU

2022

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One method that has been proposed for the measurement of sustainability is Data Envelopment Analysis (DEA). Despite its advantages, the method has limitations: First, the efficiency of Decision-Making Units is calculated with weights that are favorable to themselves, which might be unrealistic, and second, it cannot account for different perceptions of sustainability; since there is not an established and unified definition, each analyst can use different data and variations that produce different results. The purpose of the current paper is twofold: (a) to propose an alternative, multi-dimensional DEA model that handles weight flexibility using a different metric (an alternative optimization criterion) and (b) the inclusion of a computational stage that attempts to incorporate different perceptions in the measurement of sustainability and integrates machine learning to explore country sustainability composite indices under different perceptions and assumptions. This approach offers insights in areas such as feature selection and increases the trust in the results by exploiting an inclusive approach to the calculations. The method is used to calculate the sustainability of the 28 EU countries.

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Section: Applicationmentioning

confidence: 99%

Section: Applicationmentioning

confidence: 99%

Section: Multi-dimensional Dea For the Construction Of Composite Indi...mentioning

confidence: 99%

Section: Multi-dimensional Dea For the Construction Of Composite Indi...mentioning

confidence: 99%

Section: Conflicts Of Interestmentioning

confidence: 99%

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An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU

2022

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Construction of a Multi-dimensional Dynamic College Students’ Innovation and Entrepreneurship Platform Based on School-Enterprise Cooperation

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2022

Application of Intelligent Systems in Multi-Modal Information Analytics

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International Scientific Conference EMAN – Economics and Management: How to Cope with Disrupted Times

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The purpose of the annual EMAN conference is to support the power of scientific research and dissemination of the research results with the objective to enhance society by advancing knowledge; policy-making change, lives, and ultimately, the world. Our objective is to continue to be the foremost annual conference on cutting-edge theory and practice of economics, management, law, tourism, environment, technology through encouraging advancement via excellence, and interaction.EMAN conference aims to bring together the international academic community (experts, scientists, engineers, researchers, students, and others) and enable interactive discussions and other forms of interpersonal exchange of experiences and popularization of science and personal and collective affirmation.The annual EMAN conference is committed to the highest standards of publishing integrity and academic honesty ensuring ethics in all its publications. Conformance to standards of ethical behavior is therefore expected of all parties involved: authors, editors, reviewers, and the publisher. The conference organizer follows the Committee on Publication Ethics (COPE) guidelines on how to deal with potential acts of misconduct.All received full papers prior peer review process are subject to plagiarism check with iThenticate by Turnitin software. Any identified plagiarism automatically disqualifies a paper. Afterward, all full papers are double-blind peer-reviewed by the reviewers drawn from the editorial committee or external reviewers depending on the topic, title, and the subject matter of the paper. Peer reviewers provide a critical assessment of the paper and may recommend improvements. Although the author may choose not to take this advice, editors highly recommend that the author address any issues, explaining why their research process or conclusions are correct.

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Multi-level DEA for the construction of multi-dimensional indices

Cited by 5 publications

References 17 publications

An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU

An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU

Construction of a Multi-dimensional Dynamic College Students’ Innovation and Entrepreneurship Platform Based on School-Enterprise Cooperation

International Scientific Conference EMAN – Economics and Management: How to Cope with Disrupted Times

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