In the paper, we calculate Okun’s coefficients in the regions of Poland. We compare the coefficients estimated for each region separately with the calculations obtained from seemingly unrelated regression (SUR) models. The results reveal that the latter method gives better estimates, because shocks in output are highly correlated across regions. Then, we consider the question concerning the existence of macroeconomic “clubs” among Polish regions. Two such clubs are found: the northwest of Poland and the eastern border region. Finally, some conclusions concerning economic policy preventing unemployment are drawn.
Sustainability of municipal finance implies steady revenue generation. Pinpointing their determinants creates the necessary background in their management and policy creation. Great municipal dependence on central government finance remains a serious challenge in the process of fiscal decentralisation. So far, studies have been focusing on the expenditure side, while revenues were treated mostly marginally. A random-effects Generalized Least Squares (GLS) panel regression for the period of 2015–2019 is estimated for targeting revenue determinants of municipalities in North Macedonia. Own and total tax revenues are modelled separately through the impact of capital expenditures, salary expenditures, active transparency index, municipality type, and local government’s ideology. The general results indicate that capital expenditure, municipal transparency, and the level of development are significant determinants of municipal revenues in both estimated models. Using such knowledge on municipal revenue reactions can help governments formulate policies that provide sustainable and effective fiscal decentralisation, lowering the pressure on central governments in developing economies.
Academic research indicates that total or current expenditures have been most commonly used in sub-central or local government’s efficiency analysis as dependent variables, and a proxy for the cost of service provision. Our research applied in the case of Polish districts for 2019 and 2020 indicates two important results: firstly, regardless of whether total or current expenditures have been used, the determinants indicate the same direction of impact, and, secondly, the COVID-19 pandemic did not change the direction of the impact. The regression results confirm the positive direction that the administrative, educational, protection, and safety variables have on dependent variables.
The article aims to present and assess educational migration as a driver of human capital redistribution across regions. The unique research on academic careers of 8.5 thousand secondary school-leavers in Lublin (Poland) allowed to gather microdata on the mobility of young people along with the school-leaving examination results being a proxy of human capital. The results indicate that the ratio of youth out-migration from their home region amounts to roughly 20%, which seems a low figure against comparative studies. However, the distribution of migration rate along with the logit regression proved high propensity of the most talented youth to move out. Hence, strong positive migration selectivity is regarded as an important driver of human capital redistribution across regions, which might negatively affect human capital accumulation in the sending area.
The paper explores the application of the gravity model, namely the delineation of the urban predominant influence areas via the generation of the multiplicatively weighted Voronoi diagram, to the socio-economic regionalisation and administrative territorial division of Ukraine, including the existing state of affairs and several proposals on their improvement. The research uses quantitative statistical data on interregional migration and rail passenger traffic within the country, processed via the Statistica analytics software, and a subsequent spatial analysis conducted by GIS. The findings suggest that the gravity model can serve as a tool for optimisation the administrative territorial division, as well as for the delineation of the planning regions and urban hinterlands. At the same time, it has certain limitations and should not be treated as a panacea for regional planning and development.
The study discusses the processes of reactivation of passenger rail traffic in Poland in the years 2000–2020. After the reductions of the railroad network carried out before 2000, a renaissance of passenger transport could be observed. In the period under study, 63 sections of the railway lines were reconstructed. The total length of the reactivated routes was 1992 km, of which the electrified sections covered 549 km of the network. The largest areas of the concentration of reactivation activities were identified in south-eastern and northern Poland. The average speed on most routes was 65 km/h. The transport offer for 55% of the lines was based on more than six connections per day. Inconsistencies were also identified: out of 63 routes, passenger traffic was suspended again in 20 sections. Three types of reactivated routes can be identified, most of which are blindly terminated routes. The identified processes of reconstruction of traffic systems after 2000 represent yet another phase of railroad operations in Poland, after the previous phase of intensive regression and underfunding.
Uptade from 2.03.2021: Parts of this article were subsequently used in the following publication: Swianiewicz, P., & Brzóska, A. (2020). Demand Elasticity for Local Public Transport in Polish Cities: Do Local Policies Matter?. Transylvanian Review of Administrative Sciences, 16(61), 125-142
After 1990, the number of local public transport passengers has been systematically decreasing at the expense of individual transport, which led to an increase in traffic congestion and deterioration of air quality in cities. However, for the last few years, a reversal of this trend has been observed in some cities. The article, using the data on the present number and recent changes in the number of passengers in nearly 100 Polish cities, discusses regression models to explain the factors influencing the diversity of demand for public transport services and its dynamics. The independent variables of the model refer both to the characteristics of cities (their socio-economic environment) and the organisation of services (e.g. organisational and legal forms of local transport companies, tariff policies, etc.). The results show that the density of the public transport network is the most significant factor explaining variation of the demand, while the level of ticket prices is almost insignificant. Demand in the largest cities has also recently been on the increase, but the relationship between the demand and the population size of the city is not a linear one.