Evaluation of Sustainable Development in European Union Countries

Martín, Carlos Javier Blanco; Carnero, María Carmen

doi:10.3390/app9224880

Cited by 11 publications

(8 citation statements)

References 30 publications

(25 reference statements)

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“…In the mentioned case, Romania and Bulgaria are in last place, again. To estimate the achieving of the sustainable development goals, Martín and Carnero [52] applied the AHP (Analytical Hierarchy Process). The obtained ranking emphasizes Norway as a country with very high sustainability, while Sweden, Denmark, the United Kingdom, and the Netherlands achieved a high degree of sustainability.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Progress towards Achieving Sustainable Development Goals of the “Agenda 2030” by Using the CoCoSo and the Shannon Entropy Methods: The Case of the EU Countries

et al. 2020

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The United Nations Member States adopted the “Agenda 2030” which contains 17 sustainable development goals (SDG) that involve a certain number of targets and indicators. Although the indicators are helpful in defining the position of the current country relative to the goals’ achievement, it is very complex to determine its position relative to other countries, because this requires an extensive analysis. Therefore, in this paper, the application of the multiple-criteria decision-making approach (MCDM) in defining the position of the EU (Europe Union) countries relative to the SDGs is proposed. The MCDM model is based on the Combined Compromise Solution (CoCoSo) and the Shannon Entropy methods. The final results highlight Sweden as the country that best implemented the set SD goals and has the best outputs relative to them, while Romania is in last place. The main reason for these kinds of results could be that the countries on the bottom of the list are relatively new EU members and have not been made to properly implement SDGs yet. The conclusion is that the obtained results are fully objective and rational, and that the applied model is applicable for performing this kind of analysis.

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Section: Discussionmentioning

confidence: 99%

Assessment of Progress towards Achieving Sustainable Development Goals of the “Agenda 2030” by Using the CoCoSo and the Shannon Entropy Methods: The Case of the EU Countries

et al. 2020

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“…adjusted net savings. Another assessment of sustainable development in EU countries was conducted by Martin & Carnero (2019) with the application of a multi-criteria model developed with the use of the multi-criteria analytic hierarchy process (AHP) technique. A different approach to the measurement of sustainable development was proposed by Kovačič (2017), who determined correlations between various aspects of sustainable development with the use of the Spearman's rank correlation coefficient.…”

Section: Literature Reviewmentioning

confidence: 99%

An attempt to evaluate the level of sustainable development in European Union countries

Pondel

2021

EiP

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Motivation: Sustainable development is a concept of development that arouses keen interest of various entities, is unprecise in many of its assumptions, undoubtedly applicable for the contemporary civilisation as well as the future generations, with effects difficult to measure and interpret, and constitutes a considerable research challenge. The research on the sustainability level of particular countries or regions have still been insufficient, as well as, due to varying research methods and research scopes, difficult to compare and causing difficulties in clear determination of the scale and progress in implementing the assumptions of this concept of development. Aim: To evaluate the level of sustainable development in European Union countries in 2009 and 2018 with the application of the taxonomic method. Results: In the vast majority of European Union countries, the value of the synthetic sustainable development indicator was higher in 2018 as compared to 2009. Only in the case of three countries the value decreased. The improvement of the indicator was driven mainly by the economic aspect. When evaluating the sustainable development level of European Union countries in 2009 and 2018, it may be claimed that each time the majority of countries noted a low level of sustainable development: a low and very low synthetic sustainable development indicator was demonstrated by 67% and 56% respectively of the entities under evaluation. In the group of countries with a very high aggregate indicator, the changes in 2018 as compared to 2009 were not significant; only the Netherlands and Slovenia were in the group of countries with a high synthetic sustainable development indicator (in 2018 — with a very high indicator). Certainly, it should be seen as positive that the group of countries with a very low aggregate indicator shrank considerably: from 17 in 2009 to eight in 2018. Among the countries representing that group in 2018 were only those which belonged to it also in 2009. As results from the conducted analysis, the countries which have attained a very high or high level of sustainable development maintain this status.

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“…Moreover, the evaluation factors may not be comprehensively enough, which can be solved by using a particle swarm optimization algorithm. This method iterates the experience and judgments of expert's step by step to find the optimized evaluation scheme [61]. AHP usually employs the following steps:…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Benefit Evaluation of Water and Soil Conservation Measures in Shendong Based on Particle Swarm Optimization and the Analytic Hierarchy Process

Guo

Chen

et al. 2020

Water

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Soil erosion is the main threat to the stability of ecological environment and the harmonious development of society in Shendong Mining Area. The main causes of this threat include the strong interference of natural characteristics and land development. Scientific soil and water conservation measures can coordinate the contradictions among coal economic development, ecological protection, and residents’ prosperity. Based on particle swarm optimization and analytic hierarchy process, the benefit evaluation system of soil and water conservation measures in Shendong Mining Area is established. The weight ratio of three kinds of benefits in Shendong coal mine collapse area is: ecological benefit > social benefit > economic benefit. The conclusion shows that the implementation of the national policy and the effect of mining area management meet the expectation. Therefore, this study provides effective reference and reasonable suggestions for soil and water conservation in Shendong Mining Area. In terms of control measures, bioengineering measures, such as increased coverage of forest and grass as well as reasonable transformation of the landscape pattern of micro landform, can improve the degree of soil erosion control, optimize the land use structure, and improve the land use rate.

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Evaluation of Sustainable Development in European Union Countries

Cited by 11 publications

References 30 publications

Assessment of Progress towards Achieving Sustainable Development Goals of the “Agenda 2030” by Using the CoCoSo and the Shannon Entropy Methods: The Case of the EU Countries

Assessment of Progress towards Achieving Sustainable Development Goals of the “Agenda 2030” by Using the CoCoSo and the Shannon Entropy Methods: The Case of the EU Countries

An attempt to evaluate the level of sustainable development in European Union countries

Benefit Evaluation of Water and Soil Conservation Measures in Shendong Based on Particle Swarm Optimization and the Analytic Hierarchy Process

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