The COVID pandemic very quickly became the world’s most serious social and economic problem. This paper’s focus is on the spatial aspect of its spread, with the aims being to point to spatial conditioning underpinning development of the pandemic, and to identify and assess possible socio-economic features exerting an impact on that. Particular attention has been paid to the percentage of positive tests for the presence of the coronavirus, as well as mortality due to the disease it causes. The statistics used relate to 102 countries, with the research for each extending from the time first cases of COVID-19 were reported through to 18 November 2020. The focus of investigation has been the stochastic co-occurrence of both a morbidity index and a mortality index, with intentionally selected socio-economic variables. Results have then been summarized through the classification of countries in relation to the two indices. Highest values relate to Latin America. A significant co-occurrence of morbidity and mortality with GDP per capita has been identified, as values for the indices are found to be lower in wealthier countries. The basic conclusion is that the dependency of the pandemic on environmental and socio-economic conditioning became more complex and ambiguous, while also being displaced gradually as concrete political decisions came to be taken.
The aim of this paper is to determine the expectations of students from selected Polish academic centers toward facilities at agritourist farms, and identifying the socio-demographic characteristics that determined those expectations. A survey method was used in this research. Using the Likert’s five-level scale, respondents rated the significance of elements of agritourist farm facilities. It was found that academic youth expected, above all, facilities for enabling passive leisure and the independent preparation of meals. Provision of facilities for active leisure were of less significance to them. Gender, place of living, field of study and prior experience connected to leisure on the farms analyzed were not factors that differentiated students’ expectations. A weak correlation was found between students’ expectations of facilities at agritourist farms and their economic status. Students’ expectations were very similar to the expectations of the average agritourist. Research results confirmed some of the results known from the literature, stating that socio-demographic characteristics differentiated the expectations of academic youth to a small extent. However, the effects obtained did not correspond to results claiming that age, gender, place of living and income have a significant influence on tourist expectations. Additionally psychographic characteristics should be considered in the following research. A combination of demographic and psychographic characteristics may offer a wider base for analysis and give better end results, allowing market segmentation.
The aim of the study was to determine the demographic types of all small cities in Poland in 2013 and to identify the standards of their spatial diversity. The following questions were posed: Which demographic types are dominant among the small cities of Poland? Is there a relation between a specific demographic type and the size of the city? Does the structure of small cities according to their demographic types relate to their distance from main roads and urban agglomerations? The study applied the Webb’s typology, the K. Doi leading element method, the departure from average indicator, and the nonparametric Chi squared test. The spatial regularities were identified based on the created maps. The results of the study show that small cities of Poland in 2013 were represented by all demographic types, but most of them were regressive. They were established in 80% of small cities. The main element determining the population trends of small cities was the negative migration balance, which was observed in 80% of the surveyed areas. It was also established that the population of small cities has a slight impact on population trends. The most important aspect of their development is the distance from agglomerations and main roads.
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