Browsing by Author "Antonescu, Daniela"
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Item Inegalitățile teritoriale în timpul crizelor multiple. Cazul României(INCE, ASEM, 2024) Antonescu, Daniela; Florescu, Ioana CristinaAnalyses of territorial inequalities follow the examination of the differences in specific and general characteristics that regional economies share. Most attention is paid to their relative income and to the way in which they change over the course of time: if inequalities get smaller, convergence or catch-up occurs, and if they get wider, divergence is said to occur. This entry outlines the steps involved in examining regional inequalities and their evolution in times of multiple crises, starting with the definition of suitable territorial entities, the identification of indicators of income and the definition of ways of measuring inequality. The methods are used to outline the degree of regional inequality in Romania and the evolution of disparities in the period 2019-2023. The empirical evidence indicates that regional economies can diverge or converge depending on the relative weight of equalising and unequalising forces. Although attention is concentrated on the geography of the creation of income, it is important to note that this geography is modified by a range of redistribution mechanisms.Item Modele teritoriale în timpul crizelor multiple. Analize empirice privind regiunile NUTS-2 în Uniunea Europeană(INCE, ASEM, 2024) Antonescu, Daniela; Florescu, Ioana CristinaThis paper analyses regional inequality from two standpoints. First, it explores them from an EU-27 perspective by assessing the incidence of economic growth for 242 regions NUTS 2. Using Eurostat data and following both crosssectional and time series approaches (2019-2023), results show that, while regional inequality decreases with growing GDP per capita, regional polarization is more persistent and does not necessarily follow the same rule. The paper also delivers an assessment of sigma-convergence and regional polarization for regions NUTS 2 în European Union, with findings pinpointing the importance of spatial models (which is contributing considerably to regional inequality levels), but also its complementarity with sigma-convergence measures (as regional inequality trajectories are not necessarily associated with spatial models trajectories).