The article aims to identify the geographical dimension of social (in)justice in the context of the existing permanent differences in the level of socio-economic development in Poland from the geographical and historical point of view. It also discusses the consequences of these inequalities for development policy on regional and local levels. The study consists of two essential parts. The first one presents synthetic deliberations on the geographical aspect of the social justice discussed. In the second part, an attempt was made to exemplify a geographical dimension of social (in)justice through the analysis of the spatial distribution of the socio-economic development level (a synthetic indicator) and selected partial indicators. In addition, the presence of dependencies of the socio-economic development level and the degree of political support for political fractions proclaiming the slogan of “social justice” was verified. The results of the conducted research confirm the existence of considerable developmental differences in the Polish space. Their strength is historically determined and, despite the passage of time, their pattern invariably corresponds to the former partition boundaries. These disparities are not minimised and the influence of economic growth on the income rise remains limited, especially in economically weaker areas, which leads to growing social dissatisfaction. As a result, one can conclude that in Poland those differences constitute the geographical dimension of social (in)justice.
The aim of the study is to examine the relationship between the socioeconomic potential and the financial condition of regions (voivodeships) in Poland. The authors hypothesise that there is a linear relationship between the potential of regions, manifested by the wealth and economic activity of people living and entities operating in their area, and the income potential of these local government units, and thus their ability to meet the needs of the local government community. For the purposes of the analysis, eleven measures were selected from four areas, reflecting the social and economic potential of the regions, and seven measures of financial condition, reflecting the structure of their budget income and expenditure, as well as their selected values on a per capita basis. In connection with the above, the study used descriptive statistics methods, linear correlation r-Pearson, and the method of standardised sums (Perkal index) in order to typologise the studied entities.