International energy security risk index - analysis of the methodological settings

Iztok Podbregar (Avtor), Goran Šimić (Avtor), Mirjana Radovanović (Avtor), Sanja Filipović (Avtor), Polona Šprajc (Avtor)

Povzetek

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).

Ključne besede

indeks tveganja mednarodne energetske varnosti;analiza;stopenjska regresija;analiza glavnih komponent;international energy security risk index;analysis;stepwise regression;principal component analysis;

Podatki

Jezik:	Angleški jezik
Leto izida:	2020
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UM FOV - Fakulteta za organizacijske vede
Založnik:	MDPI
UDK:	351
COBISS:	20478979
ISSN:	1996-1073
Št. ogledov:	0
Št. prenosov:	0
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	indeks tveganja mednarodne energetske varnosti;analiza;stopenjska regresija;analiza glavnih komponent;
Vrsta dela (COBISS):	Znanstveno delo
Strani:	str. 1-15
Letnik:	ǂVol. ǂ13
Zvezek:	ǂiss. ǂ12 (3234)
Čas izdaje:	2020
DOI:	10.3390/en13123234
ID:	25839035