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Title:International energy security risk index - analysis of the methodological settings
Authors:ID Podbregar, Iztok (Author)
ID Šimić, Goran (Author)
ID Radovanović, Mirjana (Author)
ID Filipović, Sanja (Author)
ID Šprajc, Polona (Author)
Files:.pdf Podbregar-2020-International_Energy_Security_R.pdf (1,04 MB)
MD5: 62C9767438DC62C898FFE435FA625D7A
 
URL https://doi.org/10.3390/en13123234
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:The main objective of this paper is to analyze model settings of the International Energy Security Risk Index developed by the U.S. Chamber of Commerce. The study was performed using stepwise regression, principal component analysis, and Promax oblique rotation. The conclusion of the regression analysis shows that Crude Oil Price and Global Coal Reserves are sufficient to explain 90% of the variance of the Index. However, if a model that explains 100% of the variance of the Index is chosen and other variables are added, Global Coal Reserves loses importance due to the presence of other parameters in which it is contained. Regardless of the chosen model of analysis, it is evident that there is room for revising the Index and removing variables that do not contribute to its precision. The research showed that the main disadvantage of the variables that make up the Index rests with the fact that the variables are of different degrees of generality, that is, one parameter is contained in other parameters (unclear which other). The research covers data for 25 countries over a 26-year period, with the first year of the research being 1980 and the last 2016 (the latest available report).
Keywords:international energy security risk index, analysis, stepwise regression, principal component analysis, Promax oblique rotation
Publication status:Published
Publication version:Version of Record
Submitted for review:04.05.2020
Article acceptance date:18.06.2020
Publication date:22.06.2020
Publisher:MDPI
Year of publishing:2020
Number of pages:Str. 1-15
Numbering:Letn. 13, št. 12, št. članka 3234
PID:20.500.12556/DKUM-91782 New window
UDC:351
ISSN on article:1996-1073
COBISS.SI-ID:20478979 New window
DOI:10.3390/en13123234 New window
Publication date in DKUM:04.02.2025
Views:227
Downloads:27
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Energies
Shortened title:Energies
Publisher:Molecular Diversity Preservation International
ISSN:1996-1073
COBISS.SI-ID:518046745 New window

Document is financed by a project

Funder:MESTD - Ministry of Education, Science and Technological Development of Republic of Serbia
Funding programme:Integrated and Interdisciplinary Research (IIR or III)
Project number:44007
Name:New Information Technologies for Analytical Decision Making Based on Experiment Observation and their Application in Biological, Economic and Sociological Systems

Funder:EC - European Commission
Funding programme:Erasmus+ programme
Project number:599491-EPP-1-2018-1-RU-EPPJMO-PROJECT

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:22.06.2020

Secondary language

Language:Slovenian
Keywords:indeks tveganja mednarodne energetske varnosti, analiza, stopenjska regresija, analiza glavnih komponent


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