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Factors of Divergence between Peripheral and Central Subregions: The Case of Mazovia Province, Poland Cover

Factors of Divergence between Peripheral and Central Subregions: The Case of Mazovia Province, Poland

Quaestiones Geographicae
Volume 39 (2020): Issue 4 (December 2020)
By: Tomasz Zaborowski  
Open Access
|Dec 2020

Figures & Tables

Fig. 1

Purchasing power of Polish subregions, 2016. Radom subregion and Mazovia Province are marked in yellow circles.Source: GfK (2019), own elaboration.
Purchasing power of Polish subregions, 2016. Radom subregion and Mazovia Province are marked in yellow circles.Source: GfK (2019), own elaboration.

Fig. 2

Research area. Radom subregion is marked in yellow circle.Source: own elaboration.
Research area. Radom subregion is marked in yellow circle.Source: own elaboration.

Fig. 3

Analysed subregions. The two city regions defined for this research are marked in yellow circles.Source: own elaboration.
Analysed subregions. The two city regions defined for this research are marked in yellow circles.Source: own elaboration.

Fig. 4

Mean values of the Pearson correlation coefficients between independent variables and development levels for the years 2005 and 2015* (DepVar 1).*2008 and 2016, respectively, in specified cases.Source: own elaboration.
Mean values of the Pearson correlation coefficients between independent variables and development levels for the years 2005 and 2015* (DepVar 1).*2008 and 2016, respectively, in specified cases.Source: own elaboration.

Fig. 5

Mean values of the Pearson correlation coefficients between independent variables and the absolute difference in development levels in the years 2005 and 2015* (DepVar 2).*2008 and 2016, respectively, in specified cases.Source: own elaboration.
Mean values of the Pearson correlation coefficients between independent variables and the absolute difference in development levels in the years 2005 and 2015* (DepVar 2).*2008 and 2016, respectively, in specified cases.Source: own elaboration.

Fig. 6

Mean values of the Pearson correlation coefficients between independent variables and the relative difference in development levels in the years 2005 and 2015* (DepVar 3).*2008 and 2016, respectively, in specified cases.
Mean values of the Pearson correlation coefficients between independent variables and the relative difference in development levels in the years 2005 and 2015* (DepVar 3).*2008 and 2016, respectively, in specified cases.

Mean values of the Pearson correlation coefficients_

MrIndVar1DepVar1 ... MrIndVar5DepVar3
Development levels for years 2005 and 2015*Absolute difference in development levels in 2005 and 2015*Relative difference in development levels in 2005 and 2015*
DepVar 1DepVar 2DepVar 3
Provincial capital status of largest cityIndVar 10.350.13−0.09
Level of centrality within provinceIndVar 20.240.11−0.02
Size of largest cityIndVar 30.460.09−0.13
Administrative status of largest cityIndVar 40.370.09−0.02
Level of centrality in countryIndVar 50.340.01−0.08
DOI: https://doi.org/10.2478/quageo-2020-0031 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
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Language: English
Page range: 39 - 51
Submitted on: Jun 10, 2020
Published on: Dec 18, 2020
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
disparities,
administrative division,
regional development,
peripheries,
Poland
Related subjects:
Geosciences,
Geography

© 2020 Tomasz Zaborowski, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 3.0 License.

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