Published : 2023-12-31

Spatial Diversity of the Network of Cooperative Banks in Poland in Relation to the Voivodships’ Socio-Economic Development in the years 2010–2022

Abstract

The purpose of the following study is to identify the most important socio-economic conditions of the distribution of cooperative bank branches in Poland in the years 2010–2022. The scope of the analysis shall include the identification of differences in the location of cooperative bank branches in individual voivodships and their determining factors. The selection criterion was based on the available temporal and spatial detailed data on cooperative bank establishments as well as variables referring to the socio-economic development published by the Statistics Poland (GUS), the Polish Financial Supervision Authority (KNF), and the Bank Guarantee Fund (BFG). The period under analysis included the years 2010, 2014, 2018, and 2022. The empirical basis for the issues addressed in the article is the review of the reference literature and the analysis of the findings of the research conducted by means of the following methods: structure and dynamics indicators and regression analysis using a selection of variables. Theoretical and empirical analyses indicate that, in the period in question, the network of cooperative bank branches decreased by 18.9%. The largest decrease was recorded in the Podkarpackie and Śląskie voivodships, while an increase was observed only in the Lubelskie Voivodship. The factors that shaped the spatial distribution of the cooperative bank branches to the largest extent were the total population number, GDP per capita and the level of nominal household income per capita. The higher the value of those variables could be observed, the more extensive the branch network was. 

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cooperative banks, branches, voivodship, socio-economic development



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Nowacka, A. (2023). Spatial Diversity of the Network of Cooperative Banks in Poland in Relation to the Voivodships’ Socio-Economic Development in the years 2010–2022. Regional Barometer. Analyses & Prognoses, 19(2), 145–155. https://doi.org/10.56583/br.2266

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