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Renewable Energy Consumption in the European Union: Are Nordic Countries in the Lead? Cover

Renewable Energy Consumption in the European Union: Are Nordic Countries in the Lead?

Open Access
|Jun 2026

Figures & Tables

Table 1.

Metrics for classifying European Union member states in terms of the level of consumption of RES

VariableFull name
x1Share of renewable energy in gross final energy consumption (total)
x2Share of renewable energy in gross final energy consumption in transport
x3Share of renewable energy in gross final energy consumption in electricity
x4Share of renewable energy in gross final energy consumption in heating and cooling

[i] Source: own elaboration

Table 2.

Selected total ordering methods

MethodSynthetic variableComments
Hellwig Qi=1di+d0 di+=j=1m(zijzj+)2;d0=d¯+2Sd;zij=xijx¯jsi;zi+=maxizij;d¯=1ni=1ndi+;Sd=1ni=1ndi+d¯2
TOPSIS Qi=didi+di+ di+=j=1mzijzj+2;di=j=1mzijzj2;zij=xiji=1nxij212;zj+=maxizij;zj=minizij
SSW Qi=1mj=1mzij zij=xijx¯jSj
MUZ Qi=1mj=1mzij zij=xijminixijmaxixijminixij

[i] Note: Qi is the value of the synthetic metric for object i (i=1,2,…,n); xij are the actual values of feature Xj (j=1,2,…,m) for object i; j is the arithmetic mean for feature Xj, Sj is the standard deviation for feature Xj.

[ii] HELLWIG, Hellwig method; MUZ, zero-based unitisation method; SSW, the method of sums of standardised values; TOPSIS, the technique for order of preference by similarity to ideal solution.

Figure 1.

Descriptive statistics for the diagnostic variables for 2015 and 2022.

Source: own elaboration based on results

Table 3.

Coefficient of correlation between the variables in 2015 and 2022

Year20152022
VariableX1X2X3X1X2X3
X20.525**0.590**
X30.795***0.3510.742***0.405*
X40.930***0.3690.574**0.859***0.3510.394*

Note: Statistically significant respectively

*: p-value <0.05;

**: p-value <0.01;

***: p-value <0.001

Source: own study based on the results

Figure 2.

Country ranks according to the four ordering procedures for 2022 data.

Source: own elaboration based on results.

Note: Method designations as in Table 2. HELLWIG, Hellwig method; MUZ, zero-based unitisation method; SSW, the method of sums of standardised values; TOPSIS, the technique for order of preference by similarity to ideal solution

Table 4.

Values of mpq and p calculated with Eqs (1) and (2)

MethodHELLWIGTOPSISSSWMUZp
HELLWIG1.0000.8900.9450.9180.918
TOPSIS0.8901.0000.8960.8850.890
SSW0.9450.8961.0000.9620.934
MUZ0.9180.8850.9621.0000.921

[i] Note: Method designations as in Table 2

[ii] Source: own study based on the results

[iii] HELLWIG, Hellwig method; MUZ, zero-based unitisation method; SSW, the method of sums of standardised values; TOPSIS, the technique for order of preference by similarity to ideal solution

Figure 3.

Ranks of European Union member states for 2022 and 2015 by development of RES consumption calculated with the SSW method.

Source: own elaboration based on results. RES, renewable energy sources

Table 5.

Groups of European Union member states similar in terms of the development of RES consumption in 2022

GroupCountry (acronym)
Group 1Sweden (SE), Finland (FI), Denmark (DK)
Group 2Latvia (LV), Austria (AT), Portugal (PT), Estonia (EE), Lithuania (LT), Croatia (HR)
Group 3Spain (ES), Slovenia (SI), Romania (RO), Germany (DE), Italy (IT), Greece (GR), France (FR), Cyprus (CY)
Group 4Bulgaria (BG), Netherlands (NL), Malta (MT), Slovakia (SK), Belgium (BE), Czechia (CZ), Poland (PL), Hungary (HU), Luxembourg (LU), Ireland (IE)

[i] Source: own study based on the results

Table 6.

Descriptive statistics for group metrics, 2022

GroupCharacteristicsX1X2X3X4
Imin.41.6010.2447.9350.11
max.66.0029.1683.3469.39
mean51.8319.4169.5059.35
IImin.29.352.4026.4630.58
max.43.3210.1474.6765.44
mean34.866.5950.0048.55
IIImin.19.014.0810.138.59
max.25.0010.8150.9041.56
mean21.688.6433.9426.79
IVmin.13.115.5115.346.30
max.19.1010.3536.7825.80
mean15.657.7522.3717.28

[i] Source: own study based on the results

Figure 4.

Share of renewable energy in gross final energy consumption in European Union member states in 2015 and 2022 vs European Union averages.

Source: own elaboration based on: (Eurostat, 2024). AT, Austria; BE, Belgium; BG, Bulgaria; CY, Cyprus; CZ, Czechia; DK, Denmark; DE, Germany; EE, Estonia; ES, Spain; FI, Finland; FR, France; GR, Greece; HR, Croatia; HU, Hungary; IE, Ireland; IT, Italy; LT, Lithuania; LU, Luxembourg; LV, Latvia; MT, Malta; NL, Netherlands; PL, Poland; PT, Portugal; RO, Romania; SE, Sweden; SI, Slovenia; SK, Slovakia

Figure 5.

RES in sectors [%] in European Union member states in 2015 and 2022 vs European Union averages.

Source: own elaboration based on: (Eurostat, 2024). AT, Austria; BE, Belgium; BG, Bulgaria; CZ, Czechia; CY, Cyprus; DK, Denmark; DE, Germany; EE, Estonia; ES, Spain; FI, Finland; FR, France; GR, Greece; HR, Croatia; HU, Hungary; IE, Ireland; IT, Italy; LT, Lithuania; LU, Luxembourg; LV, Latvia; MT, Malta; NL, Netherlands; PL, Poland; PT, Portugal; RES, renewable energy sources; RO, Romania; SE, Sweden; SI, Slovenia; SK, Slovakia

Figure 6.

2022/2015 relative changes for the diagnostic variables. *: double value; **: quadruple value

Source: own elaboration based on the results. AT, Austria; BE, Belgium; BG, Bulgaria; CY, Cyprus; CZ, Czechia; DK, Denmark; DE, Germany; EE, Estonia; ES, Spain; FI, Finland; FR, France; GR, Greece; HR, Croatia; HU, Hungary; IE, Ireland; IT, Italy; LT, Lithuania; LU, Luxembourg; LV, Latvia; MT, Malta; NL, Netherlands; PL, Poland; PT, Portugal; RO, Romania; SE, Sweden; SI, Slovenia; SK, Slovakia

DOI: https://doi.org/10.2478/ceej-2026-0010 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 172 - 191
Submitted on: Nov 3, 2025
Accepted on: Apr 21, 2026
Published on: Jun 20, 2026
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
JEL:

© 2026 Krzysztof Adam Firlej, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.