The objective of the article is to present the study of agritourism innovativeness. The analysis covers agritourism farms in Poland. It is also essential to identify the factors affecting the process of implementing innovation in agritourism. The objective of the article is to formulate conclusions on the impact of innovations on the development of agritourism and the competitiveness of agritourism farms that can be used by representatives of various agritourism-supporting institutions and organizations. A diagnostic survey–study was conducted in 2018, applying a survey questionnaire with a sample of 81 self-employed agritourism farm owners. Ward’s hierarchical clustering method was applied to group the counties in terms of innovativeness. For this purpose, the data provided by the central statistics authority (GUS) and the authors’ own survey study were used. The study confirms, e.g., the key significance of innovation for the development of agritourism in the counties analyzed. Additionally, in the article there is developed an original farm’s competitive positioning index and gaining a competitive advantage on the agritourism services market, with three farms in Germany, France and Poland, respectively as an example.

The aim of the article is to present the analysis of tourism competitiveness of the rural areas of the Eastern Poland microregion (Podlaskie, Warmińsko–mazurskie, Lubelskie, Świętokrzyskie, Podkarpackie provinces). To group the rural communes in terms of tourism competitiveness, a cluster analysis with Ward’s method was applied. To do so, the data provided by the Central Statistical Office (Warsaw) in Poland of 2019 were used. The analyses provided in the article confirm the dependence between the size of the areas of outstanding natural beauty and the region’s tourism competitiveness. The results can be applied by the representatives of various institutions and organizations supporting the development of tourism in those areas.

This paper aims to indicate the linkages between crude oil prices and selected food price indexes (dairy, meat, oils, cereals, and sugar) and provide an empirical specification of the direction of the impact. This paper reviews the fuel–food price linkage models with consideration to the time series literature. This study adopts several methods, namely the Augmented Dickey–Fuller test, Granger causality test, the cointegration test, the vector autoregression model, and the vector error correction model, for studying the price transmission among the crude oil and five selected food groups. The data series covers the period between January 1990 and September 2020. The empirical results from the paper indicate that there are long-term relationships between crude oil and meat prices. The linkage of crude oil prices occurred with food, cereal, and oil prices in the short term. Furthermore, the linkages between the analyzed variables increased in 2006–2020.

This article aims to give an overview of tourism at the time of the global crisis caused by the COVID-19 pandemic. In order to assess the influence of the COVID-19 pandemic on European countries, the Systemic Literature Review (SLR) as well as Our World in Data (2021) and EUROSTAT (2021) secondary data were used. In order to group countries with respect to changes taking place in tourism, Ward’s cluster analysis was applied. After verifying the available data, 31 European countries were eventually selected for the analysis. The application of Ward’s method led to four groups of countries being created that are most similar in terms of changes in the tourism sector between 2019 and 2020. The first cluster comprised eight countries with the highest average rate of restrictiveness. On the other hand, this group recorded the lowest rate of changes concerning arrivals by air transport, which was on average 70.32%. The second group comprised 13 countries. In this cluster, the average change in the number of overnight stays and arrivals at tourist resorts was the lowest in comparison with other clusters. The third cluster comprised four countries where the change in arrivals by air transport was the highest, with an average decrease of 81.76%. The fourth group comprised six countries. The average change in the occupancy of hotel rooms and similar overnight accommodation facilities, as well as arrivals at tourist resorts, was the highest in comparison with other clusters. In addition, the countries were characterized by a relatively high decrease in the number of arrivals by air transport, but a relatively low average rate of restrictiveness.

The aim of the article is to present the spatial diversity of tourism in the countries of the European Union (EU). The main objective of the article can be divided into three immediate goals, each of which is to determine countries that are similar by means of: (1) accommodation base; (2) tourism traffic; and (3) tourism-related expenditures and revenues. In order to group countries, Ward’s cluster analysis method is used. The aim is verified with the use of 2017 United Nations World Tourism Organization (UNWTO) and Eurostat data. The analysis covers all EU member states. The research conducted confirms, inter alia, the key role of the accommodation base in the development of tourism in those countries.

The purpose of this article is to identify main research areas in health tourism in scientific research. The data used in this analysis span from 2000 to 2022, was retrieved from the Web of Science database, and comprises a total of 1493 bibliometric records of publications. The paper includes both a quantitative and a qualitative analysis. The following four main research areas were identified based on the results: (1) patient satisfaction built upon trust; (2) health impacts of the destination (including the economic aspect, which plays a decisive role in choosing a tourism destination); (3) health behavior as a major part of human activity; and (4) traveling with a view to regain one’s health. Note that the limitations of this study—which mostly affect the methodological part—need to be taken into consideration. This is the consequence of the selected publication database and of the search criteria used, such as the publication year or language.