This empirical study evaluates European tourism demand in Spain from 2000 to 2020. To test the hypotheses, we have modelled tourism demand, which is measured in terms of travellers arriving in Spain. An Error Correction Model adapted to a panel structure has been utilised to work within a time series context and differentiate up to 14 European countries of origin. The findings denote that over the short and the long term, gross domestic product (GDP) and the number of beds positively relate to tourism demand. Still, the stock market indices are not significant in both terms. The price index, trade flows, and length of stay differ in the short and the long term. Results of this study call the attention of policy makers and the private sector to encourage an increase in the supply of available beds to ensure post-pandemic sustainability.

The present contribution aims at researching the new Eurasian project on the post-Soviet area, the Eurasian Economic Union, by analyzing the legal aspects of both its institutional and economic frameworks. Because of its relatively small size, not only should the Eurasian Economic Union increase bilateral trade with its member states but also promote commerce outside the Union. In this regard, the crucial objective for success is the development of longterm relationships with its strategic partners based on mutual economic benefits and shared values. We applied the gravity model and identified not only which factors influence bilateral foreign trade, including the differences in partners? values based on a neo-institutional approach, but also analyzed those integration blocs and groups of countries to deter-mine with which partners the Eurasian Economic Union should develop strategic partnerships.

Remote rural and postindustrial regions are much more vulnerable to population drain in comparison with industrialized centers and capitals, due to obvious reasons such as meager job opportunities, difficulties in accessing public services in education, healthcare and transport, housing, entertainment, lack of integration with other territories and, finally, less advanced levels of digitalization. This represents an open challenge for the European Union within the framework of its Cohesion Policy. This paper analyzes the impact of digital trends, represented by the percentage of the population with access to internet and broadband and the percentage of individuals who buy goods and internet services (percentages provided by Eurostat) in less populated EU NUTS2 regions with lower income, on the crude population growth rate composed of natural changes in population and migratory flows and on the unemployment rate by applying panel data analysis. It has been possible to confirm that digitalization has a positive impact on natural changes in population in EU regions with lower economic development. On the contrary, the unemployment rate does not affect natural changes in population, but it does have a negative impact on migratory flows. The findings show that digitalization may contribute to reversing negative demographic trends in more disadvantaged EU regions in terms of income and population density.

After the annexation of Crimea in 2014, many EU–Russia projects such as the concept of Strategic Partnerships, negotiations on the New Basic Agreement, and the abolishment of visa regime, among other important issues, were suspended. On top of that, the parties involved imposed mutual sanctions which seriously damaged bilateral trade relationships. The present article aims to analyse EU–Russia bilateral trade under the sanctions and low oil prices together with such factors as the growth of Russian and the EU’s GDPs per capita, geographical distance between parties and devaluation of Russian currency by applying a gravity model. Moreover, the model allows us to carry out simulations of circumstances as they would likely have unfolded had the sanctions not been imposed and if oil prices had remained at a reasonable level.