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Parallel regional convergence in Poland before and after EU accession

   | 07 apr 2021
INFORMAZIONI SU QUESTO ARTICOLO

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Figure 1

Sample plot of coefficients of variation for five artificial measurements with an identical mean slopeSource: own elaboration
Sample plot of coefficients of variation for five artificial measurements with an identical mean slopeSource: own elaboration

Figure 2

Maps of relative GDP per capita in 1990, 2003 and 2017Source: own calculations based on data from CSO and ERD
Maps of relative GDP per capita in 1990, 2003 and 2017Source: own calculations based on data from CSO and ERD

Figure 3

Average annual change in relative GDP per capita in 1990–2017, 1990–2003 and 2004–17Source: own calculations based on data from CSO and ERD
Average annual change in relative GDP per capita in 1990–2017, 1990–2003 and 2004–17Source: own calculations based on data from CSO and ERD

Figure 4

Coefficient of variation of relative GDP per capita in Polish regions in 1990–2017Source: own calculation based on data from CSO and ERD
Coefficient of variation of relative GDP per capita in Polish regions in 1990–2017Source: own calculation based on data from CSO and ERD

Figure 5

Coefficient of variation of relative GDP per capita in Polish regions – direct comparison of 14-year, pre-and post-accession periods
Coefficient of variation of relative GDP per capita in Polish regions – direct comparison of 14-year, pre-and post-accession periods

The impact on EU funds on external convergence of Polish regions to EU28 average in the period 2004–2018

voivodeship Cumulative value of EU funds disbursed convergence to EU28 average GDP
mln PLN per capita (PLN) share of GDP total in p.p. share resulting from Cohesion Policy
Dolnośląskie 33085,0 11404 1,6% 26,0 12,3%
Kujawsko-pomorskie 18391,0 8852 1,7% 12,2 22,0%
Lubelskie 23889,2 11286 2,5% 12,4 25,0%
Lubuskie 11253,0 11092 2,1% 13,0 24,0%
Łódzkie 28974,5 11748 2,0% 18,9 17,0%
Małopolskie 30494,3 8967 1,6% 19,0 14,0%
Mazowieckie 68836,7 12739 1,3% 35,6 10,0%
Opolskie 9579,7 9711 1,8% 12,5 20,0%
Podkarpackie 28306,3 13295 2,9% 12,0 31,0%
Podlaskie 14025,7 11871 2,5% 12,9 27,0%
Pomorskie 27822,7 11923 2,0% 17,9 18,0%
Śląskie 40477,4 8928 1,3% 16,0 14,0%
Świętokrzyskie 13614,9 10966 2,3% 9,7 29,0%
Warmińsko-mazurskie 22942,2 16055 3,4% 11,0 45,0%
Wielkopolskie 29823,8 8536 1,3% 22,2 11,5%
Zachodniopomorskie 19697,5 11580 2,1% 12,7 25,0%
Poland 421213,9 10966 1,7% 20,9 15,0%

Results (p-value) of the test of the equality of slopes of the trends of regional inequality measure before and after Poland's EU accession

test and data number of years before and after 2004
5 6 7 8 9 10 11 12 13
t-test, CSO 0,77 0,87 0,98 0,75 0,91 0,78 0,66 0,63 0,53
t-test, ESD 0,50 0,48 0,51 0,14 0,49 0,50 0,42 0,36 0,24
Wilcoxon test, CSO 1,00 1,00 0,94 0,95 1,00 0,85 0,90 1,00 1,00
Wilcoxon test, ERD 0,81 0,56 0,30 0,15 0,65 0,49 0,46 0,30 0,22

Relative GDP per capita of Polish NUTS 2 regions in 1990–2017

region 1990 1993 1996 1999 2003 2006 2009 2012 2015 2017
Dolnośląskie 97,3 98,9 100,3 102,4 102,1 107,4 109,2 113,6 111,6 110,5
Kujawsko-Pomorskie 105,6 100,5 94,9 90,8 88,9 86,6 83,9 81,2 81,5 80,9
Lubelskie 77,4 75,6 73,4 71,6 72,2 69,0 69,0 69,9 68,3 69,0
Lubuskie 93,6 92,8 91,2 92,0 86,6 90,0 85,6 83,0 83,5 82,6
Łódzkie 89,2 90,2 91,0 89,8 92,6 92,1 91,6 92,4 92,7 93,0
Małopolskie 95,7 93,0 90,5 89,8 89,7 90,2 88,9 88,5 90,3 91,3
Mazowieckie 131,2 137,9 144,4 147,8 151,6 154,7 155,7 158,6 158,5 160,5
Opolskie 85,7 85,3 84,8 85,6 79,4 81,6 82,2 83,3 83,4 79,3
Podkarpackie 77,9 76,0 73,9 73,3 74,5 71,5 70,7 70,5 71,3 69,7
Podlaskie 72,1 72,4 72,2 73,2 75,3 72,7 73,6 72,4 71,9 71,6
Pomorskie 90,9 93,4 95,6 99,4 99,5 98,9 98,6 98,0 96,2 96,6
Śląskie 113,5 111,5 111,5 108,9 108,2 106,0 106,2 105,8 103,9 103,6
Świętokrzyskie 56,4 63,2 69,6 76,3 79,8 77,9 79,1 74,6 72,3 71,4
Warmińsko-Mazurskie 84,1 83,7 82,6 79,9 76,8 74,7 73,7 71,9 71,3 70,1
Wielkopolskie 113,3 110,0 106,8 106,1 105,7 106,6 107,9 105,4 108,3 109,1
Zachodniopomorskie 113,3 108,6 103,5 99,8 92,4 90,1 87,5 84,1 85,2 83,3

Values of MADiS and MADiSS together with 95% bootstrapped confidence intervals for five artificial measurements with an identical mean slope

statistic MADiS MADiSS
group 2 3 4 5 2 3 4 5
1 0.82 (0.50, 1.35) 1.40 (0.70, 2.89) 0.90 (0.51, 1,66) 0.43 (0.13, 0,96) 0.50 (0.05, 1.08) 0.92 (0.58, 1.00) 0.92 (0.56, 1.00) 0.17 (0.00, 0.81)
2 0.99 (0.54, 2.69) 0.99 (0.54, 2.60) 0.76 (0.50, 1,09) 0.92 (0.54, 1.00) 0.92 (0.45, 1.00) 0.67 (0.15, 1.23)
3 1.07 (0.00, 3.03) 1.13 (0.67, 2.19) 0.17 (0.00, 0.45) 0.92 (0.54, 1.00)
4 1.26 (0.72, 2.81) 0.92 (0.50, 1.00)

Results of the tests for MADiS and MADiSS

test and data number of years before and after 2004
5 6 7 8 9 10 11 12 13
MADiS, CSO 0.78* 1.07* 1.05* 1.24* 1.22* 0.91* 0.96* 1.35* 1.66*
MADiS, ESD 0.81* 1.06* 0.82* 0.44* 0.63* 0.69* 0.56* 0.63* 0.63*
MADiSS, CSO 0,4 0,33 0,86 1.25* 1.56* 1.00* 0,55 0.67* 1.38*
MADiSS, ERD 0,8 1.33* 0,57 0,5 1.11* 0,6 0.91* 1.00* 0.77*
eISSN:
2084-6118
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Geosciences, Geography, other