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European economies in terms of energy dependence

Research output: Contribution to journal › Article › peer-review

67 Citations (Scopus)

Abstract

The sustainable development and energy security are currently the priority challenges for the European Union countries. The sustainable and stable development of European economies is closely dependent on the stable access to energy resources. The constant increase of the demand for electricity requires long-term planning of the common European policy. The aim of the article is to analyse the fuel and energy resources situation of the member states with regard to their energy balances and with the determination of their import dependence in relation to fossil fuels, such as: coal, oil and natural gas. Based on the collected statistical data the analysis of clusters was presented in order to separate homogenous subsets, that is groups of the European Union Member States. The squared Euclidean distance has been adopted as the measure of similarities of the member states in the clusters, and the k-means algorithm has been used as the method of grouping. As a result of the analysis seven clusters were selected-groups of homogenous countries in terms of the import dependence due to the major energy resources (oil, natural gas and coal). The results of the paper can constitute bases for shaping the appropriate long-term common energy policy for the listed potential groups of countries. Statistical data were collected based on the Eurostat publication.

Original languageEnglish
Pages (from-to)1531-1548
Number of pages18
JournalQuality and Quantity
Volume51
Issue number4
DOIs
Publication statusPublished - 1 Jul 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Cluster analysis
  • Energy dependence
  • k-means algorithm

ASJC Scopus subject areas

  • Statistics and Probability
  • General Social Sciences

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