CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS

CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS

Greenhouse gases are one of the main factors that influence the Earth's global temperature variation. As the result of both the beginning of the industrial revolution (the 1750’s) and the intensificication and diversification of human activities, the volume of greenhouse gasses increases si...

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Main Author: MARINOIU CRISTIAN
Format: Article
Language:English
Published: Academica Brâncuşi 2015-07-01
Series:Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
Subjects:
greenhouse gas
cluster analysis
PAM method
Online Access:http://www.utgjiu.ro/revista/ec/pdf/2015-03/06_Marinoiu%20Cristian.pdf
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spelling doaj-c2d703915f7844428d8b75cd0661e9b32020-11-25T00:09:24ZengAcademica BrâncuşiAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie 1844-70071844-70072015-07-011337 41CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS MARINOIU CRISTIAN 0PETROLEUM-GAS UNIVERSITY OF PLOIEŞTI Greenhouse gases are one of the main factors that influence the Earth's global temperature variation. As the result of both the beginning of the industrial revolution (the 1750’s) and the intensificication and diversification of human activities, the volume of greenhouse gasses increases significantly. The risk of an accelerated global warming can be decreased by reducing the volume of greenhouse gasses emissions resulting from human activities. The annual volume of these emissions is reflected by the Greenhouse gas (GHG) indicator. This work carries out a classification of EU countries on the basis of the evolution of the GHG indicator using Partitioning Around Medoids (PAM) method. http://www.utgjiu.ro/revista/ec/pdf/2015-03/06_Marinoiu%20Cristian.pdfgreenhouse gascluster analysisPAM method
collection DOAJ
language English
format Article
sources DOAJ
author MARINOIU CRISTIAN
spellingShingle MARINOIU CRISTIAN
CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
greenhouse gas
cluster analysis
PAM method
author_facet MARINOIU CRISTIAN
author_sort MARINOIU CRISTIAN
title CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS
title_short CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS
title_full CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS
title_fullStr CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS
title_full_unstemmed CLASSIFICATION OF EU COUNTRIES IN TERMS OF THE EVOLUTION OF THE GHG INDICATOR USING CLUSTER ANALYSIS
title_sort classification of eu countries in terms of the evolution of the ghg indicator using cluster analysis
publisher Academica Brâncuşi
series Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
issn 1844-7007
1844-7007
publishDate 2015-07-01
description Greenhouse gases are one of the main factors that influence the Earth's global temperature variation. As the result of both the beginning of the industrial revolution (the 1750’s) and the intensificication and diversification of human activities, the volume of greenhouse gasses increases significantly. The risk of an accelerated global warming can be decreased by reducing the volume of greenhouse gasses emissions resulting from human activities. The annual volume of these emissions is reflected by the Greenhouse gas (GHG) indicator. This work carries out a classification of EU countries on the basis of the evolution of the GHG indicator using Partitioning Around Medoids (PAM) method.
topic greenhouse gas
cluster analysis
PAM method
url http://www.utgjiu.ro/revista/ec/pdf/2015-03/06_Marinoiu%20Cristian.pdf
work_keys_str_mv AT marinoiucristian classificationofeucountriesintermsoftheevolutionoftheghgindicatorusingclusteranalysis
_version_ 1725411960590172160

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