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Improvements and Spatial Dependencies in Energy Transition Measures

Abstract

This article aims to improve one of the newest energy transition measures—the WorldEconomic Forum WEF Energy Transition Index (ETI) and find its driving forces. This paper proposesa new approach to correct the ETI structure, i.e., sensitivity analysis, which allows assessing theaccuracy of variable weights. Moreover, the novelty of the paper is the use the spatial error modelsto estimate determinants of the energy transition on different continents. The results show thatETI is unbalanced and includes many variables of marginal importance for the shape of the finalranking. The variables with the highest weights in ETI did not turn out to be its most importantdeterminants, which means that they differentiate the analysed countries well; nonetheless, theydo not have sufficient properties of approximating the values of the ETI components. The mostimportant components of ETI (with the highest information load) belong to the CO2emissions percapita, the innovative business environment, household electricity prices, or renewable capacitybuildout. Moreover, we identified the clustering of both ETI and its two main pillars in Europe, whichis not observed in America and Asia. The identified positive spatial effects showing that Europeancountries need much deeper cooperation to reach a successful energy transitio

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
ENERGIES no. 14,
ISSN: 1996-1073
Language:
English
Publication year:
2021
Bibliographic description:
Kuc-Czarnecka M., Olczyk M., Zinecker M.: Improvements and Spatial Dependencies in Energy Transition Measures// ENERGIES -,iss. 14(13) (2021), s.1-22
DOI:
Digital Object Identifier (open in new tab) 10.3390/en14133802
Verified by:
Gdańsk University of Technology

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