Analysis of greenhouse gas emissions in the European Union member states with the use of an agglomeration algorithm

• Autorzy: Kijewska A. , Bluszcz A.

Identyfikatory

DOI

10.1016/j.jsm.2017.02.001

• Języki publikacji: EN

Abstrakty

EN

The use of fossil fuels as sources of energy is related to the emission of pollutants into the atmosphere. The implementation of international commitments on reducing emissions requires their continuous monitoring. The main energy resources for electricity production in the world include fossil fuels, i.e. oil, coal and natural gas, and according to projections their dominant role in the market of energy resources will persist for at least the next two decades. The aim of this article is to analyse the level of differentiation of European Union member states in terms of emissions of four greenhouse gases and to identify groups of similar countries based on these criteria. Such studies will provide information that will enrich our knowledge about the contribution of each European Union country to the emissions of greenhouse gases. This article uses a taxonomic method - cluster analysis, namely the agglomerative algorithm, which enables the extraction of objects that are similar to each other from the data and then to merge them into groups. In this way, a number of homogeneous subsets can be obtained from one heterogeneous set of objects. European Union countries make up the objects of segmentation. Each of them are described by their level of greenhouse gas emissions, such as carbon dioxide, methane, nitrogen oxides and nitrous oxides. Groups of homogeneous countries are distinguished due to total emissions and due to the level of their emissions per capita. Analysis is based on annual Eurostat reports concerning greenhouse gas emissions.

Słowa kluczowe

EN

sustainable development; mineral resources; energy; greenhouse gas emission; taxonomy; cluster analysis; agglomerative method

PL

rozwój zrównoważony; zasoby mineralne; energia; emisja gazów cieplarnianych; taksonomia; analiza klasterów; metoda aglomeracyjna

• Wydawca: Elsevier ; Główny Instytut Górnictwa
• Czasopismo: Journal of Sustainable Mining
• Rocznik: 2016
• Tom: Vol. 15, iss. 4
• Strony: 133--142
• Opis fizyczny: Bibliogr. 46 poz.

Twórcy

autor

Kijewska A.

• The Silesian University of Technology, Faculty of Mining and Geology, 44-100 Gliwice, ul. Akademicka 2, Poland

autor

Bluszcz A.

• The Silesian University of Technology, Faculty of Mining and Geology, 44-100 Gliwice, ul. Akademicka 2, Poland

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