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Research background: Digitalization in the context of the COVID-19 pandemic has accelerated significantly across Europe, including in regions that are at the stage of catch-up development. However, as innovative technologies are intensively integrated into everyday life, the digital gap between the EU countries is increasing. The widening digital gap is becoming a serious threat to achieving the EU's sustainable development goals and building a sustainable European society. Purpose of the article: The purpose of the article was to empirically substantiate the inclusiveness and convergence of the digital strategy in the EU countries. Methods: Using the method of fuzzy sets, the level of asymmetry in access to transactional (e-commerce), information (cloud computing), operational (artificial intelligence) technologies in the EU countries was assessed. The negative impact of the digital gap within the countries (the gap between small, medium, large companies) and the global digital gap (the gap between EU countries) on the competitiveness of countries was established, for which correlation analysis and the Granger causality test were used. Findings & value added: The findings of this study contribute to the literature of digital transformation and digital gap of European countries. The impact of the digital gap in transactional, information, operational technologies on the competitiveness of countries is differentiated depending on the level of digitalization of the country. Cluster groups of countries are determined by the convergence of digitalization and ways to ensure long-term competitiveness. The directions for reducing the digital gap in the EU countries are substantiated by changing the priorities of spending on innovation and increasing productivity, diversifying the digital technologies used. The empirical results obtained can serve as a basis for improving the effectiveness of the digitalization policy in the EU countries in accordance with individual convergence goals. The main added value of the paper is related to the presented research procedure, which can be used in analyses of digital technologies development also for other countries. The results provide valuable insights into evaluating the digital technologies in European countries. [ABSTRACT FROM AUTHOR]

Research background: Many contemporary empirical studies and also most of economic growth theories recognize the importance of innovation and knowledge for achieving an economic growth. A large part of empirical literature has treated the issue of beta convergence without the spatial aspect, i.e. the possible spatial dependence among regions or states in growth process was neglected. Purpose of the article: In this paper, we investigate the link between selected R&D (Research and Development) indicators as proxies for the regional innovation and knowledge and economic performance of the region. We also assume a significant role of regional R&D spillovers in the regional growth process determination. Methods: The main methodological basis for our analysis is beta convergence approach and the dataset under the consideration consists of 245 NUTS 2 (Nomenclature of Units for Territorial Statistics) EU (European Union) regions during the 2003-2014 period. Our analysis is made with respect to spatial interactions across the EU regions. Findings & Value added: The influence of R&D indicators on the economic growth has been confirmed, and spatial interconnection across the EU regions have been proven. Poten tial existence of geographical R&D spillovers across the EU regions was examined by formulation of additional beta convergence model with spatial lag variables. We have identified that the influence of R&D spillovers is not strictly restricted to the neighbouring regions, but they spread across a larger area. For the construction of spatial lags of R&D indicators different spatial weight matrices were considered. [ABSTRACT FROM AUTHOR]

Research background: It is not straightforward to identify the role of institutions for the economic growth. The possible unknown or uncertain areas refer to nonlinearities, time stability, transmission channels, and institutional complementarities. The research problem tackled in this paper is the analysis of the time stability of the relationship between institutions and economic growth and real economic convergence. Purpose of the article: The article aims to verify whether the impact of the institutional environment on GDP dynamics was stable over time or diffed in various subperiods. The analysis covers the EU28 countries and the 1995-2019 period. Methods: We use regression equations with time dummies and interactions to assess the stability of the impact of institutions on economic growth. The analysis is based on the partially overlapping observations. The models are estimated with the use of Blundell and Bond's GMM system estimator. The results are then averaged with the Bayesian Model Averaging (BMA) approach. Structural breaks are identified on the basis of the Hidden Markov Models (HMM). Findings & value added: The value added of the study is threefold. First, we use the HMM approach to find structural breaks. Second, the BMA method is applied to assess the robustness of the outcomes. Third, we show the potential of HMM in foresighting. The results of regression estimates indicate that good institution reflected in the greater scope of economic freedom and better governance lead to the higher economic growth of the EU countries. However, the impact of institutions on economic growth was not stable over time. [ABSTRACT FROM AUTHOR]

Research background: The processes of economic convergence observed in many developing countries are characterized by reduction of economic differences on the cross-country level, which are accompanied by growing internal economic inequalities. This may stem from the fact that in the catching-up countries, a more dynamic growth pattern is observed in the economically strongest regions, which is initially reflected in spatial polarization and increasing regional inequalities. However, just as the countries reach higher levels of development, the diffusion of growth-inducing impulses to less-developed areas should lead to the spatial equalizing of the development levels and reducing regional inequalities. Purpose of the article: The aim of the paper is to determine the relationship between the level of economic growth and observed economic inequalities in Central and Eastern European (CEE) countries. The theoretical framework adopted to describe and explain those relations is the so-called Williamson's hypothesis in which the relationship between the scale of regional inequalities and economic growth is illustrated by a curve shaped like an inverted U. Methods: The research procedure was intended to verify Williamson's hypothesis by estimating parabolic econometric models. Indicators of economic growth along with measure of regional inequalities (Williamson's coefficient of variation) were used in the regression modeling. The research period spanned the years 1995-2014. Findings & Value added: In the light of the study of CEE countries, it was possible to observe both convergence symptoms as well as divergence tendencies. It can be thus stated that the analyzed CEE countries followed a similar path to the one observed earlier by Williamson in other developing countries. However, the analyses conducted by the authors at the national and regional levels of CEE countries were equivocal and did not fully support the theoretical assumptions of Williamson's hypothesis. [ABSTRACT FROM AUTHOR]

Research background: Geographical proximity, common historical roots and collaboration within the Nordic Council cause the Nordic countries to be often wrongly treated as monoliths. However, in reality, Nordic regions differ in terms of broadly defined social and economic development. Issues concerning the standard of living are one of the priorities of the Helsinki Treaty signed by Nordic countries. Purpose of the article: The main goal of this paper is to analyze the existence of the social convergence in the Nordic NUTS-3 regions over the 2000-2015 period. The social convergence refers to a reduction in the dispersion of the standard of living across regions. The results of this analysis may be helpful in evaluating the efficiency of the activities under third and fourth Nordic Strategy for Sustainable Development. Methods: The spatial taxonomic measure of development proposed by Pietrzak was used as the standard of living approximation. Inclusion of spatial relationships in the construction of taxonomic measure of development is justified as regions are not isolated in space and can be affected by other units. The existence of beta-, sigma- and gamma convergence was tested for global spatial aggregate measure and as well for sub-groups of determinants forming the standard of living. Findings & Value added: The analysis showed that the regions with the highest standard of living are those situated on the west coast of Norway. Regions with the lowest standard of living were the ones located in central Finland. However, the most important part of this research was to investigate the existence of beta-, sigma- and gamma- social convergence. The results show that there is no convergence for global standard of living measure. However, the convergence occurs in groups of determinants of education and health care. [ABSTRACT FROM AUTHOR]