The article presents the classification of municipalities in Poland, divided into urbanised and non-urbanised based on their spatial dimensions. The spatial distribution of urbanised municipalities and their basic characteristics are discussed. The classification was performed using the k-means clustering algorithm on the spatial data from Corine Land Cover databases. The comparison of the administrative and land-use driven classification of municipalities in Poland indicates that the widest differences occur between the functional areas of cities and along dynamically developing transport routes, when identification of urbanised areas in terms of land use is taken into consideration.
The main objective of this paper is to discover the impact of the COVID-19 pandemic and regulatory conditions of doing business on economic growth of different economies, particularly in terms of the combined co-effect of the two mentioned factors. An econometric cluster model using the k-means method is developed. 172 economies were distributed between clusters based on three parameters: 1) rates of GDP growth for individual economies in 2020, as provided by the World Bank; 2) the World Bank Doing Business rating for 2020; and 3) the COVID-19 pandemic factor that is represented by the total accumulated number of cases officially fixed per 100,000 of population, as provided by the World Health Organization. The study proves that the COVID-19 pandemic appeared to be a substantial factor of economic growth for the vast majority of economies, which is reflected by the drop in their GDP even despite favourable conditions of doing business in some countries. Substantial compensating reciprocal influences are observed between the set of doing business factors and the COVID-19 pandemic factor.
Globalisation has led to the dominance and geographical expansion of urban areas. Companies consider a complex set of criteria when deciding on their locations, including the agglomeration area and the presence of similar companies or related businesses. This study examines the spatial distribution and industrial clustering of companies within the agglomeration of Győr, Hungary’s sixth-largest city. The sample comprises 256 companies across 68 settlements, with data processed through map, quadrat and industry analysis. The analyses identified six settlements within the agglomeration where nearly half of the companies are located, five factors that seem to facilitate company location, and five main industrial sectors, four of which are closely related. The article concludes that the agglomeration area of Győr is characterised by a high degree of spatial concentration of companies, industrial clustering and the emergence of industry sub-centres.