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Factors explaining the changes in the rankings of Polish cities’ economic position (1992-2013)

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Figure 1

Four groups of Polish big cities separated due to the change in the economic position between the ranking from 1992 and 2013
Source: own calculations
Four groups of Polish big cities separated due to the change in the economic position between the ranking from 1992 and 2013 Source: own calculations

Results of OLS regression analyses (progressive selection method)

Dependent variable
Change in the ranking 1992-2013Change in the ranking 1992-2004Change in the ranking 2004 -2013
R square0.5520.6230.213
Adjusted R square0.5130.5800.185
Significance of the model0.0000.0000.000
Explanatory variables
Distance to the airport in vienna by plane0.469

- significance at the 0.001 level

% of population with higher education 20020.370

- significance at the 0.001 level

0.203

- significance at the 0.05 level

TEN-T (location of the airport in the city)-0.271

- significance at the 0.01 level

Turn-out in local elections 19980.332

- significance at the 0.01 level

The value of export per capita 20050.203

- significance at the 0.05 level

Distance to the airport in Hamburg-0.214

- significance at the 0.05 level

Losing the status of regional capital0.216

- significance at the 0.01 level

Turn-out in local elections 1990-0.471

- significance at the 0.001 level

Turn-out in local elections 19940.282

- significance at the 0.05 level

Distance to the city with direct flight to Munich-0.198

- significance at the 0.05 level

Distance to the nearest city with more than 300 thousand inhabitants (in minutes)0.312

- significance at the 0.01 level

Turn-out in the elections to European Parliament in 2003 (w %)0.672

- significance at the 0.001 level

Number of votes „in favor“ as % of potential votes in EU accession referendum-0.396

- significance at the 0.01 level

Change in gross value of fixed assets in enterprises per capita 2004-20130.385

- significance at the 0.001 level

TEN-T (railway)0.235

- significance at the 0.05 level

The availability of the EU funds in 1991-2006 period0.217

- significance at the 0.05 level

Changes in the explanatory power of regression models after adding the variables related to EU integration (hierarchical multiple regression)

Dependent variable
Change in the ranking 1992-2013Change in the ranking 1992-2004Change in the ranking 2004 -2013
Significance of the model0.0010.0000.306
R square0.5780.6120.366
R square after entering to the model block of „EU integration“ variables0.8680.7650.715
R square change0.2900.1530.349
Significance of R square change0.0290.0750.401

Operationalisation of factors explaining changes in economic hierarchies of Polish large cities

Explanatory variablesExpected sign
European integration– Location on the course of route TEN-T (including roads, railways, airports and seaports; one-zero variable; years 2004, 2013)+
– Distance to the EU core cities: Hamburg, Frankfurt, vienna, Berlin, Munich (measured by distance to the city with direct or connecting flights to the above cities) (in km)-
– Distance to the Polish-German border (in km)-
– Turn-out in the elections to European Parliament (in %; 2004, 2009)+
– Turn-out in the EU accession referendum (in %, 2003)+
– EU accession referendum – number of votes „in favor” as % of potential votes (in %, 2003)+
– Academic exchanges within ERASMUS (number of student placements per 10 thousand inhabitants, number of teacher placements per 10 thousand inhabitants; years: 2001, 2007, 2012 and one-zero variable: the Erasmus agreements signed by institutions of higher education between 2000-2007 and 2011-2012)+
– Expenditures of local budget within EU grants (sum for 2005-2013 per capita) (in PLN)+
– The availability of the EU funds in 1991-2006 period+
Location– Distance to the nearest city with more than 300 thousand inhabitants (in km and minutes, departure on weekdays at noon)-
– Distance to the nearest airport with regular passenger flights (in km and minutes, departure on weekdays at noon)-
Degree of sectoral diversification of cities’ economy– Local budget revenues from fee on exploitation of natural resources (minerals) over PLN 200,000 (one-zero variable; 2004, 2008, 2013)-
Human capital– % of population with higher education (2002, 2011)+
– The quality of higher education institutions (based on rankings from „Wprost” magazine: 1998, 2004, 2007; the average ranking of public and non-public institutions of higher education in the city, in points, maximum value = 100)+
Social capital– Turn-out in local elections (in %; 1990,1994,1998,2002,2006,2010)+
– The number of NGO’s per capita (1995, 1998, 2004, 2008, 2013)+
Administrative status– Losing the status of regional capital (one-zero variable, 1998)-
Modernisation of private sector– Change in gross value of fixed assets in enterprises (2004-2013, in %)+
– The number of firms from the list of 500 of the biggest companies in the country located within the city per 100 thousand inhabitants (based on the rankings from „Polityka” magazine; 1998, 2012)+
– The value of exports per capita (in PLN; 2005, 2007)

Greatest gain and greatest loss of cities in the ranking 1992-2013

Greatest gain 1992-2013Greatest loss 1992-2013
1Kutno+43Racibórz-60
2Piła+36Bytom-51
3Bełchatów+35Świętochłowice-46
4Koszalin+35Zabrze-38
5Głogów+34Siemianowice Śląskie-35
6Puławy+30Jastrzębie-Zdrój-35
7Świdnica+27Ruda Śląska-32
8Pruszków+27Wodzisław Śląski-31
9Siedlce+25Piekary Śląskie-31
10Radomsko+25Zawiercie-27

Pearson correlation coefficients among changes of position in rankings

Changes:
1992-19981992-20041992-20081998-20041998-20081998-20132004-20082004-20132008-2013
Change 1992-2013+0.65

means significance at the 0.001 level

+0.90

means significance at the 0.001 level

+0.91

means significance at the 0.001 level

+0.73

means significance at the 0.001 level

+0.70

means significance at the 0.001 level

+0.85

means significance at the 0.001 level

0.10+0.39

means significance at the 0.001 level

+0.31

means significance at the 0.001 level

eISSN:
2084-6118
Langue:
Anglais
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Sujets de la revue:
Geosciences, Geography, other