The primary aim of the article is to present the scope and character of tourism in Łódź, between 2000 and 2014. The author will show both the overall changes in numbers of registered tourists during those 15 years, its distribution within the city in the last year, and the number and specificity of foreign arrivals (non-residents). Based on surveys in 2009-12, the author will discuss the structure of tourism in Łódź, taking into consideration one-day visitors and tourists, tourism consumption and distribution within the city space.
The Cayman Islands are one of the SISODs, located in the Caribbean Sea, with a high number of foreign visitor arrivals and a GDP based to a large extent on tourism. They are also considered to be SITE islands and may even be characteristic of the subtype, PROFIT-SITE islands. The aim of the article is to provide an answer to the question of whether the increase in the number of tourist and one-day visitor arrivals1 had a positive impact on the creation of GDP in the Cayman Islands during the period 1983-2011. The hypothesis was that such a correlation should exist and it should be a strong positive correlation, but only between the increase in number of tourist arrivals and increase in GDP. The second question was: which year is the most economically affected by the increase in tourist and visitor arrivals (the same or the following year)? The hypothesis was that the biggest impact is recorded in the year in which the increase in tourist and visitor arrivals occurs (not in the following year). The third question was: has the global economic crisis affected the tourism sector in the Cayman Islands? The hypothesis was that the Cayman Islands were not as badly affected by the global economic crisis as other SISOD countries. The methods used by the author were literature analysis, data analysis and the Spearman correlation ratio.
the direction of the changes.
For the purposes of this work, indicators will be applied from the period 2000 to 2014. The Spearman correlation method, the changeability ratio and the typology of tourist economies were used for the statistical data analysis. The measure of the level of development of a tourism-based economy was based on the number of incoming foreign tourists and one-dayvisitors. Additionally, the analysis included the inhabitants’ quality of life, measured using the Human Development Index (HDI). In the statistical analysis