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Title:EKONOMETRIČNA PRIMERJALNA ANALIZA AGREGATNIH SPREMENLJIVK
Authors:ID Cerjak, Luka (Author)
ID Gričar, Sergej (Mentor) More about this mentor... New window
Files:.pdf 1403$$dip_cerjak_luka_2025_-_cistopis.pdf (2,35 MB)
MD5: 94A58934F3A75BCE82CEB14003889E1F
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:UNM FEI - University of Novo mesto - Faculty of Economics and Informatics
Abstract:Raziskava obravnava vpliv izbranih agregatnih makroekonomskih spremenljivk na gibanje cen električne energije v treh evropskih državah: v Sloveniji, Norveški in v Španiji. V ospredju raziskave so spremenljivke BDP na prebivalca, inflacija, stopnja brezposelnosti in povprečna bruto plača kot ključni agregati gospodarske uspešnosti. S pomočjo enostavne in multiple regresijske analize je bila preverjena njihova povezanost s cenami električne energije v obdobju med 2007 in 2023, ki ga zaznamujejo globalna finančna kriza, pandemija in električna kriza. Rezultati kažejo, da je inflacija v vseh treh državah najmočnejši in statistično značilen dejavnik, ki vpliva na rast cen elektrike. Vloga BDP-ja in plač je izrazitejša v Sloveniji in Norveški, medtem ko se v Španiji kot odločilen dejavnik izkazuje predvsem inflacijski pritisk. Brezposelnost nima potrjenega vpliva v nobeni izmed držav. Analiza potrjuje, da se med državami odražajo strukturne razlike v gospodarskih in energetskih modelih, hkrati pa razkriva univerzalne vzorce, ki povezujejo gibanje inflacije in cen električne energije. Ugotovitve imajo dvojno vrednost, in sicer znanstveno, saj razširjajo razumevanje povezav med makroekonomskimi agregati in tokom električne energije, poleg znanstvene pa tudi praktično, saj nudijo osnovo za oblikovanje politik, ki bi zagotavljale večjo stabilnost cen in odpornost gospodarstev.
Keywords:makroekonomske spremenljivke, cena električne energije, inflacija, regresijska analiza, primerjalna ekonomija.
Year of publishing:2026
PID:20.500.12556/ReVIS-14136 New window
Publication date in ReVIS:01.07.2026
Views:28
Downloads:0
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Secondary language

Language:English
Title:ECONOMETRIC COMPARATIVE ANALYSIS OF AGGREGATE VARIABLES
Abstract:The thesis examines the impact of selected aggregate macroeconomic variables on household electricity prices in three European countries: Slovenia, Norway, and Spain. The research focuses on GDP per capita, consumer price inflation, unemployment rate, and average gross wages as key indicators of economic performance. Using simple and multiple regression analysis, the study explores the relationship between these variables and electricity prices over the period 2007–2023, marked by the global financial crisis, the COVID-19 pandemic, and the post-2021 energy crisis. Findings reveal that inflation is the strongest and most consistent determinant of electricity price growth across all three countries. GDP and wages show a more pronounced role in Slovenia and Norway, while in Spain inflation emerges as the dominant driver. Unemployment does not exhibit a significant impact in any of the cases. The results highlight structural differences in economic and energy models, while also identifying universal patterns linking inflationary dynamics with energy costs. The contribution of the thesis is both scientific, by providing insights into the interplay between macroeconomic indicators and the energy market, and practical, by offering guidance for economic and energy policies aimed at stabilizing electricity prices and strengthening resilience in times of crisis.
Keywords:macroeconomic variables, electricity price, inflation, regression analysis, comparative economics.


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