Clustering Poland Among Eu Countries in Terms of a Sustainable Development Level in the Light of Various Cluster Stability Measures (original) (raw)

Stability of Grouping the EU Countries in Terms of Sustainable Development Levels

2018

The stability of a taxonomy algorithm against minor changes in a data set (e.g. subtraction from a dataset, small changes in variable values) or algorithm parameters (e.g. random selection of parameter values) is a desired property of the method. There is an opinion in the literature that, when properly selected, multiple uses of a given algorithm should give rise to little or no difference in the final clusters (i.e. it should give stable results) and reveal the actual structure present in the data. This criterion is particularly applicable when selecting the number of groups (parameter k). The purpose of the paper will be to examine the stability of grouping the EU countries in terms of sustainable development levels.

Critical review of cluster mapping studies in Poland

Working Papers of Economics of European Integration Division, 2010

The concept of industrial cluster has become one of the most prominent ones both in theoretical discussions, policy making and actual business. It is generally believed that under certain conditions, efficiently performing cluster through positive externalities can become an engine of regional development. Due to potential market imperfections public intervention is frequently required. The concept has gained significance in Eastern and Central European Countries including Poland. Sound cluster-based policy requires a detailed identification of dominant cluster as well as embryonic clusters. In the past few years at the central level of Poland and at the level of some of its provinces (eg. Pomerania, Mazovia, Opole, Silesia) cluster-mapping exercises were performed as part of an effort to modify/inform regional development strategies. Apart from several domestic studies an analysis by an international team for the European Commission for the whole area of Central and Eastern Europe was carried out. The present paper critically reviews the aforementioned studies identifying major methodological bottlenecks. It seems that more emphasis should be placed on the issue of co-location of both vertically related industrial sectors as well as horizontal agglomeration. Spatial autocorrelation should also be included. Appropriate level of sectoral as well as spatial disaggregation of data is of outmost importance.

Hierarchical Clustering Based on International Sustainability Indices of EU Countries

Ekonomické rozhľady – Economic Review

The presented paper focuses on the possibility to group countries by the cluster method in terms of assessing the sustainable competitiveness of European countries. Our calculation is based on HDI (Human Development Index) and EPI (Environmental Performance Index) indices. We also tried to show the differences in HDI and EPI index of the Slovak Republic and the Netherlands. The aim of this paper is to evaluate the global competitiveness regarding the environmental economics model, considering all three levels: economic, social, and environmental. We measure the socio-economic dimension using HDI according to the health and education areas, then we measure the environmental dimension using EPI, which monitors the behaviour of countries in the field of human health protection and ecosystem protection. Our question is whether there is an appropriate classification for the development of these countries that could help to reduce the differences between the average countries and the EU 2...

Cluster Analysis of the EU-27 Countries in Light of the Guiding Principles of the European Green Deal, with Particular Emphasis on Poland

Energies

The article presents a cluster analysis of the EU-27 countries. The clusters were built to identify groups of countries similar to each other in relation to the set of Eurostat indicators from the Climate Change Drivers and Environment and Energy sections. During the research, tools of spatial information systems were used, such as cluster analysis, diagram maps, rasterization and the TSA method. ARIMA prediction models were also used. The research aims to verify our hypotheses. Particular attention was paid to Poland; therefore, it was verified whether the composition of the country’s energy mix translated into excessive emissions of pollutants in relation to other EU countries. Furthermore, the level of integration of energy markets in the European Union and its changes over time were examined. The authors also proposed a methodology to create detailed energy and climate strategies for designated clusters. The results of the presented research are particularly important in light o...

The Position of the Visegrád Countries by Clustering Methods Based on Indicator Environmental Performance Index

Ekológia (Bratislava), 2020

With a growing number of negative environmental burdens, several countries have increasingly begun to address the issue of environmental protection through a number of measures. Such measures include higher spending on public health, conservation of natural resources, less emission to the air, efficiency of waste sorting, reduction of water pollution, and groundwater. The contribution is based on the Environmental Performance Index (EPI) values to perform a cluster analysis of selected countries - especially OECD (organisation for Economic Co-operation and Development) countries. The database needed for analysis is the EPI indicator for the years for 2008 to 2018. The result will be clusters that will include countries with similar results of the EPI indicators for the reference period. It will be important for us to track the position of the Slovak Republic in this analysis.

Hierarchical Clustering of EU Countries Based on HDI and EPI Index

EDAMBA 2021 : COVID-19 Recovery: The Need for Speed : Conference Proceedings

The aim of this paper is to evaluate the global competitiveness regarding the environmental economics model, considering all three levels: economic, social, and environmental. We measure the socio-economic dimension using HDI (Human Development Index) according to the health and education areas, then we measure the environmental dimension using EPI (Environmental Performance Index), which monitors the behaviour of countries in the field of human health protection and ecosystem protection. This paper focuses on the possibility to group countries by the cluster method in terms of assessing the sustainable competitiveness of European countries. The question is whether there is an appropriate classification for the development of these countries that could help to reduce the differences between the average countries and the EU 27 average. The approach to this topic began with the question whether these countries, which have high values of economic growth, have a high level of EPI or HDI...

APPLICATION OF TAXONOMIC METHODS TO ASSESS POLAND’S REGIONAL DEVELOPMENT

S C I E N T I F I C J O U R N A L "Economics and Finance", 2014

The aim of this study is twofold: to evaluate Poland’s regional development at NUTS 2 level and to prove the existence of convergence of economic growth among Polish provinces. To evaluate the variation in the development of provinces a non-model aggregation method was used. Based on those synthetic indicators of economic development, ranking of provinces for the years 2007 and 2012 was created. The ranking showed very little variance over the research period and did not answer the question of whether convergence occurred and if so, of what nature. Therefore, to answer that question, the provinces were clustered into 5 groups and a multidimensional k-means analysis was conducted. The research conducted on the basis of selected diagnostic variables does not confirm the occurrence of conditional convergence among Polish provinces.

Assessment of the Economic Development of Polish Regions in the Context of the Implementation of the Concept of Sustainable Development - Taxonomic Analysis

European Journal of Sustainable Development

The aim of the article is to conduct a multidimensional assessment of the diversification of economic development of Polish regions in the context of the progress made in the implementation of the concept of sustainable development in 2010 and 2017. The authors focused primarily on determining the position of Lubusz Province on the economic map of Poland. Given that economic development is a complex category, taxonomic (synthetic) measures developed on the basis of selected methods of multivariate comparative analysis were used in the research. The synthetic measures were constructed using the proposed partial indicators (explanatory variables), which, according to the authors, best illustrate economic development and the idea of sustainable development at regional level. Based on the constructed measures, a linear ordering of Polish regions by level of economic development in the context of the implementation of the concept of sustainable development was made, and the convergence o...

Policy Challenges in Defining and Utilising Cluster Metrics

2014

The paper employs cluster metrics to evaluate the situation of clusters in a selected set of European region. It presents the results of the work of the Innovating Regions of Europe (IRE) subgroup „Regional Clustering and Networking as Innovation Drivers ” that was working between 2006-2008.The paper describes the state of the art in cluster development in the different regions and compares their level of maturity. It presents two case studies (one from within Europe and one from outside) and draws up a set of recommendations that should help the policy makers and practioners in the European regions to better utilise clustering and networking as a tool to improve the competitiveness of the European regions. The results of the work can be further expanded in future studies about the role of innovation in cluster development. Key words regional innovation systems, clusters, industrial networks 1

Cluster concept development – a case study from Poland

2010

This paper focuses on the cluster concept development in Poland. It depicts policy based on clusters in the country. Furthermore, this research deepens the knowledge about the current stage of cluster development in Poland. On the basis of a sample group of Polish clusters, their characteristics are scrutinized and the good practices and solutions introduced in clusters are distinguished. Additionally, attention is being paid to problems encountered in cluster development under Polish conditions. Keywords— cluster, cluster policy, development, Poland.