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The EU's Socio-economic Development Against the Backdrop of the War in Ukraine Cover

The EU's Socio-economic Development Against the Backdrop of the War in Ukraine

Open Access
|Apr 2023

Figures & Tables

Figure 1

Clustering of Publications in the Scopus Science Metric Database for 2014–2022Source: Formed by the authors based on bibliographic data in the Scopus database
Clustering of Publications in the Scopus Science Metric Database for 2014–2022Source: Formed by the authors based on bibliographic data in the Scopus database

Figure 2

Correlation Matrix of the EU Socio-economic Development Indicators Under StudyNote. ID1, integral index for group ‘economy and environment’; integral index for ID2, group ‘business and trade’; integral index for ID3, group ‘people and work’; ID, a complex integral indicator of the three groupsSource: Formed by the authors
Correlation Matrix of the EU Socio-economic Development Indicators Under StudyNote. ID1, integral index for group ‘economy and environment’; integral index for ID2, group ‘business and trade’; integral index for ID3, group ‘people and work’; ID, a complex integral indicator of the three groupsSource: Formed by the authors

Figure 3

Map of Changes in the EU Socio-economic Development Indicators Against the Background of the War in Ukraine (February–September 2022)Note. ID1, integral index of economy and environment; ID2, integral index of business and trade; ID3, integral index of people and work; ID, complex index of socio-economic developmentSource: Formed by the authors
Map of Changes in the EU Socio-economic Development Indicators Against the Background of the War in Ukraine (February–September 2022)Note. ID1, integral index of economy and environment; ID2, integral index of business and trade; ID3, integral index of people and work; ID, complex index of socio-economic developmentSource: Formed by the authors

Figure 4

Dendrogram of EU Country Clustering by Socio-economic Development Indicators Against the Backdrop of the War in Ukraine (September 2022)Source: Formed by the authors
Dendrogram of EU Country Clustering by Socio-economic Development Indicators Against the Backdrop of the War in Ukraine (September 2022)Source: Formed by the authors

Initial Data on Indicators of Business and Tradea

CountryPIRNBDBPSPCTVSTNEXIMMB
Belgium7.6−1.5−14.7−1.11.04.11−7.9−3.2194.7
Austria−2.2−0.84.51.47−0.90.1124.9
Bulgaria−2.63.1−10.90.30.20.1−18.552.810.9135.4
Croatia0.41.3 1.6−1.17.42−12.8−7.4148.6
Cyprus−1.00.8−8.0934.0−10.5180.6
Czech Republic0.0−1.2−1.70.9−4.97−2.42.5144.0
Denmark2.01.9−11.1 0.8−0.820.89−0.3−4.9134.3
Estonia−3.6−5.4−21.34.2−0.2−13.16−1.2−2.2172.6
Finland1.40.40.20.71.12−1.7−10.192.5
France−0.98.310.9−0.61.11.33.34−2.30.677.6
Germany1.3−1.9−2.30.50.41.5−0.3−0.5−1.2102.0
Greece−4.9−1.2−3.513.72.3114.7
Hungary1.38.0110.6−1.12.40.4−14.17−3.03.6187.7
Ireland6.6−35.6−1.8 −4.4−2.5240.5
Italy−1.8−3.5−8.0 1.1−0.3−1.66−0.8−4.579.1
Latvia−0.8−1.41.73.51.2−24.96−9.32.9151.0
Lithuania−7.2−1.04.00.10.7−16.88−3.42.6176.2
Luxembourg1.9−3.6−10.9 −2.13.410.660.0−1.6360.9
Malta1.01.6−11.8−6.8−14.0274.9
Netherlands1.76.612.01.31.49.06−0.50.0182.5
Poland−0.26.2−5.17.3−5.81.8−0.350.91.4124.7
Portugal−2.16.8−2.9 −2.8−1.9−0.05−1.3−5.9109.5
Romania−0.513.8−36–12.53.9−0.7−21.54−3.8−2.988.2
Slovakia−0.7−8.7−18.9−1.4−0.5−1.2−17.88−0.94.0189.3
Slovenia−0.4−4.8−16.9−0.7−0.4−3.51.34−17.0−6.8176.8
Spain−0.5−4.066.1 −2.00.4−2.48−0.5−1.685.6
Sweden1.72.32.2−0.74.12−0.10.0102.5

Initial Data on Indicators of People and Worka

CountryEMUELMTEYPUTEUTI
Belgium6.805.9010.6071.409.5021.7023.10
Austria13.704.209.5077.608.6038.6021.10
Bulgaria−7.004.507.7075.0015.009.209.00
Croatia1.506.3011.4069.5012.8021.2015.30
Cyprus6.807.3012.3077.8014.5021.505.00
Czech Republic2.102.404.8081.6011.5026.7010.80
Denmark10.804.307.5080.607.0048.8017.00
Estonia17.605.808.4081.9010.0033.2019.10
Finland10.106.8012.4078.409.3032.4021.20
France6.607.6014.0073.9012.0028.1022.40
Germany11.603.006.2081.408.0032.7024.60
Greece6.8012,4017,7066,6015,4014,1015,70
Hungary2.503.105.1080.2010.4024.0020.70
Ireland12.204.209.7078.908.4036.6027.90
Italy6.308.0019.1064.8020.2017.6038.70
Latvia6.606.4010.7077.3011.1031.8027.10
Lithuania4.605.408.5079.6010.1031.,4013.90
Luxembourg8.804.309.8075.206.1030.9022.90
Malta17.002.904.1081.207.1013.8015.90
Netherlands13.903.408.7082.905.0041.1025.40
Poland7.202.704.6076.9011.0017.3029.60
Portugal24.406.0011.1077.408.5024.1021.20
Romania−7.105.408.4068.4020.6014.9015.00
Slovakia7.706.107.3077.3012.1011.600.80
Slovenia10.704.406.8077.809.0026.1030.20
Spain16.3012.6020.2069.9011.8025.9020.10
Sweden4.607.6012.1082.305.3029.0019.90

Modelling Government Gross Debt (% of GDP) Against the Backdrop of the War in Ukraine

FactorModel 1Model 2Model 3Model 4Model 5
(Intercept)65.45***70.39***70.39***69.08***70.87***
(0.86)(1.93)(1.91)(1.83)(1.73)
GDP2.65*−2.33−2.39−2.66
(1.16)(2.39)(2.33)(2.14)
HICP−5.22*−11.86***−11.81***−10.67***−5.72**
(2.56)(3.15)(3.08)(2.93)(2.05)
ES5.50**2.162.143.284.35*
(1.80)(2.74)(2.64)(2.41)(2.01)
AQ4.12−1.68−1.66
(2.19)(2.88)(2.83)
CF14.50***9.72***9.60***9.67***10.56***
(1.74)(2.78)(2.68)(2.48)(1.92)
EA−7.76***−0.41
(1.41)(2.16)
NFA1.29−10.07**−10.08***−10.07***−7.76***
(2.23)(3.00)(2.93)(2.71)(1.86)
PI0.50−0.34
(1.09)(2.06)
RNB0.391.101.18
(1.45)(2.36)(2.26)
DB4.17**2.452.412.51
(1.27)(2.28)(2.20)(2.04)
PS−1.59
(1.07)
PC−0.29
(0.99)
TVS1.231.501.52
(1.24)(2.30)(2.21)
TN−5.94**−8.30*−8.23**−6.13*
(1.76)(3.23)(3.12)(2.91)
EX0.08
(1.08)
IM−1.730.19
(1.06)(2.14)
MB18.67***−11.46***−11.45***−10.58***−9.10***
(2.81)(2.55)(2.50)(2.35)(1.96)
EM3.31**2.832.792.50
(1.19)(2.16)(2.09)(2.00)
LM21.35***10.92***11.06***10.49***16.23***
(3.11)(2.90)(2.74)(2.46)(2.16)
YP−16.56***−7.09*−7.08*−6.10*
(2.02)(3.18)(3.13)(2.86)
UTI11.54***8.38***8.29***7.41***
(2.10)(2.42)(2.37)(2.13)
N61133133140216
R20.950.710.710.710.61

Initial Data on the Economy and Environmental Indicatorsa

CountryGDPHICPESAQCFEANFA
Belgium0.212.184.825.7−14.1−4.330.9
Austria0.211.086.515.7−16.9−2.341.9
Bulgaria0.615.699.317.2−22.3−2.26−1.5
Croatia−0.412.6102.132.6−3.40.071.7
Cyprus1.39.0101.717.5−13.210.33−4.2
Czech Republic−0.217.888.421.8−30.9−1.680.0
Denmark0.311.176.915.9−15.9−1.641.6
Estonia−1.824.182.514.2−20.34.702.6
Finland−0.28.483.614.2−32.6−7.162.1
France0.26.296.229.6−14.0−1.56−4.4
Germany0.410.992.421.0−23.0−3.60−0.3
Greece−0.512.1105.033.93.5−10.143.0
Hungary−0.420.793.921.5−18.92.21−2.3
Ireland2.38.695.017.1−10,36.34−1.2
Italy0.59.496.126.0−6.9−0.71−3.1
Latvia−1.722.091.219.4−36.7−3.800.9
Lithuania0.422.595.216.2−16.1−9.924.8
Luxembourg1.18.892.119.3−3.4−2.492.2
Malta1.37.494.725.9−15.335.482.9
Netherlands−0.217.190.824.3−13.14.581.4
Poland1.015.788.426.0−10.61.51−0.8
Portugal0.49.899.916.7−1.21.261.9
Romania1.213.4102.731.6−12.3−7.36−1.4
Slovakia0.413.686.715.4−18.8−10.46−2.4
Slovenia−1.410.689.921.1−29.9−2.05−3.6
Spain0.19.096.722.0−8.5−4.53−7.6
Sweden0.610.382.617.0−25.5−3.125.4
DOI: https://doi.org/10.2478/ceej-2023-0005 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 72 - 89
Published on: Apr 29, 2023
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Kateryna Boichenko, Rana Umair Ashraf, Mário Nuno Mata, Ștefan Cristian Gherghina, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.