Scatter plot of three clusters for HDI score and minimal wage

Scatter plot of three clusters for HDI score and minimal wage

Context in source publication

Context 1
... good visual representation of the sustainability analysis of Southeast European countries is provided with figure 2, where HDI score, as a representative of social development, and minimal wage, as a representative of economic advancement, are crossed at scatter plot. It is evident that countries from the first cluster are distant from countries forming third cluster by far. ...

Citations

... Allievi et al. employed hierarchical agglomerative clustering technique to categorize 27 Member States of the EU into similar groups based on their sustainability performance in economic, social and environmental dimension measured with selected indicators provided by Eurostat. 14 Huttmanová evaluated the management of sustainable development in 28 European Union countries through selected nine indicators from 2014, using hierarchical cluster analysis. 15 She found that more developed EU countries, such as Germany, France, Italy, United Kingdom and Spain, achieve better results in the field of sustainability. ...
Conference Paper
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The implementation of Sustainable Development Goals (SDGs) and related targets, adopted by all UN Member States in 2015, can be monitored at various levels using global, regional or national SDG indicators. The present paper deals with progress of EU Member States towards sustainable development using data from the EU SDG indicator set that was developed by the European Commission due to policy relevance and statistical quality of indicators. The aim of the paper is to categorize EU Member States into broader groups based on similar performance in selected SDG indicators. To reach the aim of this paper, cluster analysis with Eurostat data from 2015 and 2020 is employed. The results show that the best-performing groups of countries in terms of progress towards SDGs are cluster 1, consisting of the Benelux countries, France, Germany and Denmark, and cluster 5 made up of Austria, Finland, Sweden and Slovenia. On the contrary, the worst performance in selected SDG indicators was shown by cluster 2, which comprises Romania and Bulgaria, followed by cluster 3 consisting of Greece, Spain, Italy, Cyprus, Malta, Ireland, as well as the Visegrad countries that joined this cluster in 2020. The results also indicate that more advanced EU economies, especially Western and Northern European countries, tend to achieve better results in most of SDG indicators as compared to less developed Central and Eastern as well as Southern European countries.
... Thus, this study covers an extensive range of indicators and a large sample of countries from around the world. Compared to previous literature (Adamišin et al., 2015;Allievi, 2011;Drastichová, 2020;Drastichová & Filzmoser, 2019;Jabbari et al., 2019;Petrov et al., 2018), this work is one of the pioneers with a comprehensive examination of countries in terms of SDGs progress. ...
... A number of studies have classified countries in terms of sustainable development using cluster analysis (Adamišin et al., 2015;Allievi, 2011;Drastichová, 2020;Drastichová & Filzmoser, 2019;Jabbari et al., 2019;Petrov et al., 2018). Allievi (2011) applied cluster analysis to classify the EU-27 countries. ...
Article
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In 2015, the United Nations introduced the 2030 Agenda, which sets out SustainableDevelopment Goals (SDGs) for building a sustainable future. The main objective of thisstudy is to classify worldwide countries in terms of Sustainable Development Goals progress in order to understand key implementation challenges, defne the gaps between countries and identify priorities for action. 110 countries were included in the analysis. TheSDG progress data used in the data analysis phase were gathered from the SustainableDevelopment Report 2019. To classify countries, the K-Means method, which is a nonhierarchical cluster analysis technique, was used. After constructing homogeneous groupsof countries, each cluster was examined based on the socioeconomic and politico-culturalstructure of the countries. The results of the cluster analysis show that the countries can beclassifed into 5 clusters. The countries in each cluster have substantially similar characteristics, not only in terms of progress on the SDGs, but also in terms of socioeconomic andpolitico-cultural structure. In general, the clusters with a more advanced socioeconomicstructure and a better politico-cultural structure tend to have superior SDGs progress. Socioeconomic and politico-cultural indicators are positively related to most of the SDGs indices. This study provides crucial guidance to identify each country’s achievements, challenges, needs, strengths and weaknesses in terms of progress on the SDGs. In addition, theempirical results of the study also show the importance of the superior socioeconomic andpolitico-cultural structure in reaching SDGs.
... It is a harmonious relationship between ecology and economy, which aims to preserve the world`s natural resources for future generations. Some authors state that sustainability indicators are based on the attempt to measure or determine the progress of the economic development in two directions: sustaining human wellbeing or preserving the capacity to provide wellbeing (Petrov et al., 2018). ...
Article
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Local authorities have a very important role in preserving natural resources and achieving the concept of sustainable development. Leadership, but primarily sustainable leadership, plays a major role in the management of natural resources. Sustainability at local level refers not only to environmental issues such as the conservation of natural resources, energy and environment but also efforts to involve the community in the processes, develop organizational capacities and promote the principles of sustainable development. This research analyses the importance and role of the leadership of local self-government in the preservation of natural resources and the realization of the concept of sustainable development. The research was performed in local governments on the territory of Eastern Serbia. The correlation method is used to determine the interrelation between leadership and sustainable management of natural resources and practical application of the basic principles of sustainable development.