The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach

This article presents the analysis of the convergence of energy use from renewable sources among chosen European countries using a spatio-temporal approach. The high energy dependence of European countries on the economies of other continents makes the development of the use of renewable sources for...

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Main Author: Mateusz Jankiewicz
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/24/8378
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author Mateusz Jankiewicz
author_facet Mateusz Jankiewicz
author_sort Mateusz Jankiewicz
collection DOAJ
description This article presents the analysis of the convergence of energy use from renewable sources among chosen European countries using a spatio-temporal approach. The high energy dependence of European countries on the economies of other continents makes the development of the use of renewable sources for energy production an important factor of their economic and social progress. The economic growth of every country is determined, among other factors, by an increase in the energy inputs. Therefore, in order to avoid excessive degradation of the environment, the use of renewable energy sources is increasingly becoming the crucial goal of governments worldwide. The analysis was conducted using data for 32 selected European countries in the years 1995–2019. In order to check progress in the case of the homogenization of renewable energy use, the β-convergence models for pooled cross-sectional and time-series data (TSCS) and also spatio-temporal β-convergence models were estimated. Absolute and conditional convergence was considered. Based on the literature review, the gross domestic product (GDP) per capita level and CO<sub>2</sub> emissions per capita level as processes conditioning the convergence in the case of the renewable energy use were chosen. Moreover, the spatial dependencies between neighboring countries were included in the models, and the neighborhood was defined in two ways. The neighborhood was quantified using the connection matrices: (1) based on the common border criterion (geographical neighborhood) and (2) based on the well-being level similarity (economic neighborhood based on the HPI index values).
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spelling doaj.art-56eca8fc70bb49199f59fcd51e1c6b3b2023-11-23T08:06:28ZengMDPI AGEnergies1996-10732021-12-011424837810.3390/en14248378The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal ApproachMateusz Jankiewicz0Faculty of Economic Sciences and Management, Nicolaus Copernicus University in Toruń, 87-100 Toruń, PolandThis article presents the analysis of the convergence of energy use from renewable sources among chosen European countries using a spatio-temporal approach. The high energy dependence of European countries on the economies of other continents makes the development of the use of renewable sources for energy production an important factor of their economic and social progress. The economic growth of every country is determined, among other factors, by an increase in the energy inputs. Therefore, in order to avoid excessive degradation of the environment, the use of renewable energy sources is increasingly becoming the crucial goal of governments worldwide. The analysis was conducted using data for 32 selected European countries in the years 1995–2019. In order to check progress in the case of the homogenization of renewable energy use, the β-convergence models for pooled cross-sectional and time-series data (TSCS) and also spatio-temporal β-convergence models were estimated. Absolute and conditional convergence was considered. Based on the literature review, the gross domestic product (GDP) per capita level and CO<sub>2</sub> emissions per capita level as processes conditioning the convergence in the case of the renewable energy use were chosen. Moreover, the spatial dependencies between neighboring countries were included in the models, and the neighborhood was defined in two ways. The neighborhood was quantified using the connection matrices: (1) based on the common border criterion (geographical neighborhood) and (2) based on the well-being level similarity (economic neighborhood based on the HPI index values).https://www.mdpi.com/1996-1073/14/24/8378convergenceenergy consumptionenergy dependencerenewable sourcesspatial modelsspatio-temporal models
spellingShingle Mateusz Jankiewicz
The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach
Energies
convergence
energy consumption
energy dependence
renewable sources
spatial models
spatio-temporal models
title The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach
title_full The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach
title_fullStr The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach
title_full_unstemmed The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach
title_short The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach
title_sort convergence of energy use from renewable sources in the european countries spatio temporal approach
topic convergence
energy consumption
energy dependence
renewable sources
spatial models
spatio-temporal models
url https://www.mdpi.com/1996-1073/14/24/8378
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