Private and Public Digitalization and Economic Resilience during COVID-19 Pandemic

The COVID-19 pandemic represented a tremendous shock for both public and private sectors and put pressure on the economic environment alongside national healthcare systems. Our article examined the economic resilience during the COVID-19 pandemic in the EU Member States and assessed if countries with more intense use of digitalization instruments (e-government features, e-commerce, ITC skills, etc.) in both public and private sectors registered a lower economic decline during 2019–2020. Our approach was based firstly on statistical correlation analysis applied to several indicators obtained from Eurostat and European Commission. Secondly, we elaborated different regional models of economic and social homogenous characteristics that could be found among EU Member States based on a hierarchical cluster analysis model applied to several structural socio-economic and digitalization indicators. The main conclusion was that there is a strong positive correlation between the share of ITC employment and the share of ITC in GDP, and the level of digital skills for individuals and the share of companies with high intensity of digitalization. © 2023 by the authors.

Influence of Fiscal Policies and Labor Market Characteristics on Sustainable Social Insurance Budgets-Empirical Evidence from Central and Eastern European Countries

Social protection systems are a key factor for ensuring the long-term sustainability and stability of economies in the European Union, their reform being nowadays present in the political agenda of member states. Aging and the dependence on mandatory levies applied to the employed population on the labor market represent a threat for the sustainability of public social protection systems. In terms of sustainability, our purpose was to highlight the factors influencing social insurance budgets, considering the fiscal policies implemented in six countries of Central and Eastern Europe and their particular labor market characteristics. Therefore, a panel study based on a regression model using the Ordinary Least Squares method (OLS) with cross section random effects was used to determine the correlations between funding sources and labor market specific indicators. The data analyzed led to relevant results that emphasize the dependence of social insurance budgets on positive factors such as the average level of salaries, the share of compulsory social contributions, the unemployment rate, and the human development index, suggesting the continuing need for professional and personal development of the workforce.