Original Scientific Article Factors Affecting Tourism Activity Selection among Silver Hair Tourists Mihaela Kežman Alma Mater Europaea mihaela.kezman@gmail.com Jana Goriup Alma Mater Europaea jana.goriup@almamater.si Demographic changes are visible in many areas of life, including tourism. Silver hair tourism is on the rise and this target group is becoming an increasingly impor- tant segment of the tourism market. The market for silver hair tourists is growing. They have high purchasing power, relatively higher than younger groups. Therefore, tourism needs to respond to new demographic challenges in society, such as popu- lation aging and active longevity, with new types and forms of tourism. The travel experience of silver hair tourists also has a significant impact on the quality and sat- isfaction of life in general. In many ways it adds value in the life of elderly adults, in the field of well-being, gaining new experiences, learning, expanding the social network, improving health and much more. Therefore, knowing the demographic characteristics of silver hair tourists is all the more important and necessary for the creation of good tourist offers.Within this paper we have conducted a survey among silver hair tourists aged between 65 and 75 years inclusive. Data was collected in Multigenerational Centres across Slovenia with a paper-pencil survey. We obtained 405 valid questionnaires. In the analysis of empirical data, we looked for statisti- cally significant differences in five socio-demographic and economic variables. We found statistically significant differences between men and women and between the age groups of silver hair tourists regarding the choice of tourism activities. In terms of demographic factors such as education, income and assessment of health status, we find a connection between tourism activities and demography. Travel raises the quality of life of ‘silver hair tourists,’ so it is important to offer them programs that will be more tailored to them. This article provides some answers that can help us create programmes like that. Keywords: silver hair tourists, tourist activities, elderly tourism, demography https://doi.org/10.26493/2335-4194.15.381-395 Introduction Demographic changes that have become our constant (Webster & Ivanov, 2020) are an important social and economic challenge. Active age encompasses the in- clusion of elderly adults in tourism, which, among other important factors, affects the health and well- being of elderly adults. On the other hand, the mod- ern phenomenon of tourism for elderly adults rep- resents a new challenge, new opportunities and new products for the tourism industry. The modern world Academica Turistica, Year 15, No. 3, December 2022 | 381 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection has also brought a new, modern term to the world of tourism for elderly adults – ‘silver hair tourists.’ This is both the naming of elderly tourists over 65 (Patterson, 2017), as well as a trend that has been strongly per- ceived in tourism over the last decade, especially due to its many positive effects: sociability and social in- clusion, well-being, higher self-confidence, new expe- riences, health, education and many others (Medarić et al., 2017). Demographic changes are very pronounced in Eu- rope. The European Commission (Evropska komisija, 2021) estimated that the proportion of people aged 65 and over in Europe will increase from around 20 to 30 by 2070. Thus, European countries are facing the challenges of demographic change in many areas, in- cluding tourism. Little attention has been paid to silver hair tourism in the past, as it is a relatively new phe- nomenon in tourism, but it is increasing from year to year (Bai et al., 2001; Peceny Starc et al., 2019; Schröder & Widmann, 2007). At the same time, we found out that this is an area that has not been significantly re- searched. Therefore, knowing the characteristics and demographics of silver hair tourists is very important. Especially if we consider that, despite the aging soci- ety and silver hair tourists as an increasingly important segment in tourism, in some European countries there is no travel agency dedicated exclusively to silver hair tourists, this is an even more current topic. However, this opens up new demands in the future for tourism actors regarding to tourism innovation for silver hair tourists. As Hjalager (2002) pointed out, in- novation in tourism for silver hair tourists depends not only on research and political aspirations but also on silver hair tourists themselves as customers, on lo- cal people and local communities, to which tourism must respond with new solutions – a different innova- tion in two directions: an attempt to reduce costs and an attempt to create demand for the silver hair tourists through innovation. Therefore, it is necessary to cre- ate a unique approach that offers silver hair tourists all the positive points of a particular destination, which requires optimal (pre)research of the destination and preparation and an appropriate methodological ap- proach. In any case, innovation in tourism for sil- ver hair tourists is conditioned by professional and promotional support, financial resources and innova- tion of all stakeholders who are in any way related to tourism for silver hair tourists. According to Hjalager (2002), there are four types of innovation in tourism for silver hair tourists: (1) innovation at the product level for silver hair tourists, (2) innovation at the pro- cess level, (3) innovation on themanagement side, and (4) logistics innovation with special regard to silver hair tourists, who are a rather heterogeneous group (Schänzel & Yeoman, 2015), with needs and expecta- tions that differ according to age, health status, social and family differences and economic status (Vujović et al. 2015). The travel market for silver hair tourists has now become a global phenomenon (Jang & Wu, 2006). Demographic Change The World and European population is growing and aging faster than ever. Due to a long-standing trend of low birth rates and ever-increasing life expectancy, we are facing an accelerated aging process, and associated challenges and opportunities in the developed world (Coale & Hoover, 2015; Samir & Lutz, 2017). In 2001, 16 of people in the EuropeanUnionwere over the age of 65, in 2018 it was 19.7, of which 5.6 were over the age of 80 (Eurostat, n.d.). The share of adults aged 65 and over in 2019 was already 20.4 of the total pop- ulation. Population projections show that this share will continue to increase, reaching 24.4 in 2030 and 29.6 in 2050 (Eurostat, 2020). In 2018, young people (under 14) accounted for 15.6 of the eu-28 average, while able-bodied people (aged 15–64) accounted for 64.7 of the population (Eurostat, n.d.). This brings new challenges for silver hair tourists and their fami- lies, as well as for tourism for the elderly. However, we must also emphasize that the elderly are a rather het- erogeneous group (Zsarnoczky, 2016). The current aging of the population is already hav- ing visible consequences for demographic dynamics (Reynaud & Miccoli, 2019), as the growing number and share of the elderly in society poses a number of economic challenges. Life expectancy began to in- crease around 1840 at a rate of almost 2.5 years per decade (Vaupel et al., 2021). The main reasons for the extension are the improvement of socio-economic 382 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection living conditions, higher education, better healthcare and lifestyle (umar, 2021). Higo and Khan (2015), on the other hand, presented aging population trends as a cause that is likely to lead to inequality between re- gions of the world in the coming decades. Such a de- mographic shift will either create or increase risks in tourism, especially for vulnerable populations such as silver hair tourists. Aging and an aging population also require soci- eties to adapt their systems and attitudes towards ag- ing and old age (Dimovski, 2011) in the field of tourism (Bai et al., 2001). In recent decades, there has been a revolution in human reproduction that consists of sev- eral components, with implications for travel, tourism, and hospitality (Webster, 2019). Seniors in Tourism Tourism is the movement and interaction of peo- ple outside their everyday environment (Juvan et al., 2021). Tourism shapes the lifestyle of hosts and visitors (Sharpley, 2014). The number of tourists has increased over the years (Peceny Starc et al., 2019), partly because of silver hair tourists, so tourismmust respond to new demographic challenges in society, such as aging and active longevity, with new types and forms of tourism and new service technologies (Nikitina & Vorontsova, 2015). We need to understand that this needs to hap- pen although the travel habits of silver hair tourists are quite rigid (Lohmann & Danielsson, 2001). We also need to know the heterogeneity of silver hair tourists (Zsarnoczky, 2016), because the category of older peo- ple within themselves is becoming increasingly het- erogeneous in their abilities and interests (Goriup & Lahe 2018, 25). Bai et al. (2001) therefore predict that as the proportion of elderly adults increases, so will the proportion of silver hair tourists, which has already reached record numbers in the United States. Silver hair tourists also represent a large market, as they have high purchasing power, relatively higher than younger groups (Alén et al., 2016). Societal change will also affect tourism and travel patterns, so it is crucial that tourism providers have a thorough un- derstanding of this market segment and how it will change consumption patterns in the future (Patterson & Balderas, 2020). Therefore, tourism for silver hair tourists must take into account the characteristics of silver hair tourists, product design, marketing, desti- nations and agingmanagement, and intergenerational cooperation. Hsu et al. (2007) found that themainmotivation of older people to engage in tourism consists of: • external conditions,which include social progress, personal finances, time and health, of which per- sonal finances and time are shaped according to family obligations and responsibilities; and • inner desires,which include better well-being, es- caping routines, socializing, seeking knowledge, pride and patriotism, personal reward, and nos- talgia. Alén et al. (2016) reveal that tourism for the silver hair tourists is particularly, and even more, leisure- oriented than for other generations. Silver hair tourists therefore want and expect quality, suitable and safe offers, with comfortable transport, relaxing activi- ties and the highest possible level of comfort. On the other hand, a smaller number of family mem- bers means a higher level of consumption per per- son. Silver hair tourists today are healthier than in the past, have higher incomes, more time to travel, and a high tendency to travel long distances (Litrell et al., 2004). Silver hair tourism therefore has great poten- tial (Macuh & Raspor, 2020) and at the same time travel is a way for all people to spend their free time. Leisure tourism is an important industry that has been greatly changed by the growing presence of older peo- ple around the world (Stončikaitė 2021, 2). After re- tirement, therefore, most elderly adults devote their free time to various interests and tourism is one of the priorities (Oliveira et al., 2018). For a group of silver hair tourists aged 65 to 79, Möller et al. (2007) argue that they are characterized by many who have recently retired and joined a time-rich group. They used their past savings to cover running costs. The health aware- ness of this group is high and if they do not have seri- ous health problems, they decide to travel and spend more on quality goods and services. That is why silver hair tourists represent a growing potential, not only in the elderly in good mental and physical condition, but also thosewho are already in an Elderly home (Macuh, Academica Turistica, Year 15, No. 3, December 2022 | 383 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection 2020). Silver hair tourists can also be actively involved in tourism with a lower financial base, as there are many activities that are affordable and otherwise very accessible to the elderly, and also through various re- tirement societies (Macuh & Raspor, 2020). Demographic Characteristics of Silver Hair Tourists The number of silver hair tourists is increasing, but at the same time this category is becoming increasingly heterogeneous (Goriup & Lahe, 2018), with needs and expectations differing in age, health, social and fam- ily differences and economic status (Birsa et al., 2015). Many travel companies do not consider the charac- teristics and concerns of silver hair tourists and the different ways in which they enjoy tourism (Patterson &Balderas, 2020). The health of silver hair tourists has a significant impact on the decision to buy a tourism product, but the impact of gender is not negligible. Lehto et al. (2001) found that women focus more on opportunities to socialize and interact with peo- ple and their families than men while travelling. In 2018, the share of older men (aged 65+) in the eu- 28 who rated their health as good or very good, was 43.1, which was 6.6 percentage points higher than the corresponding share of older women 36.5 (Eu- rostat, 2020). This is also why the wto estimates that by 2050 there will be more than 2 billion international passengers aged 60 +, compared to 593 million in 1999 (World Tourism Organization, 2007). According to Shavanddasht (2018), ‘young grandparents’ weremore eager for novelty and enjoyable vacations,while ‘safety’ and ‘improving knowledge’ were the main intentions of older grandparents vacationing with their grand- children. Silver hair tourists want to enjoy and are willing to pay a high price for high quality services (Möller et al., 2007). Raspor (2018) argues that elderly adults today generally have higher incomes than previous genera- tions, so they will invest more money in leisure activ- ities, which will only increase the share of silver hair tourists. Fitzpatrick Associates (1998) says that mainly because they often inherit from parents or relatives; their children leave home, which alleviates the finan- cial burden; they have relatively little or nomortgages; their capital can be released and they may have sav- ings, pensions, and may have pension or savings ‘pil- lars’ in addition to state pensions. Špindler (2018) found that the generation of sil- ver hair tourists also differs from other generations in terms of the scale of values, and that they also respond differently in tourism because they live and practice their own values. The change in the values of gen- erations of silver hair tourists is also reflected in the field of tourism, in the direction of regaining the im- portance of intangible values, which in the past we thought were lost: authenticity, which we perceived as a trend, and regional and quality expectations at all levels, as also noted by Petavs (2011). Senior tourism is, however, nevertheless included in social tourism, and the term also covers all con- cepts and phenomena related to the participation of low-income social groups in tourism (Markiewicz- Patkowska et al., 2019). In the study of social tourism for the silver hair tourists, the silver hair tourists were divided into four groups: (1) the silver hair tourists, who have a low socio-economic status and who can- not afford a holiday. These are often involved in some humanitarian programme such as the Red Cross, etc.; (2) the silver hair tourists who need special infrastruc- ture adaptations; (3) the silver hair tourists for whom special programmes have been designed and adapted; and (4) the silver hair tourists who do not need special adaptations or conditions (Medarić et al., 2017). Tourism Products for Silver Hair Tourists Tourism for silver hair tourists in many ways adds value in the life of elderly adults. It broadens hori- zons and offers experimental learning (Minnaert et al., 2009), as tourism activities for silver hair tourists are opportunities to explore new environments and integrate into new activities, meet new people and face unexpected problems that affect their views, at- titudes and behaviour (example of self-confidence). Offering silver hair tourists opportunities for social in- teraction (McCabe et al., 2010; Minnaert et al., 2009) has an impact on their sociability and social inclusion, health and education (Medarić et al., 2017). Through tourism, silver hair tourists travel to explore their identity, learn, socialize and have fun (Osvaldo et al., 2020), they experience new people and new places, 384 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection change perspectives and broaden mental and psy- chological horizons (Minnaert & Schapmans, 2009). This is one of the reasons whyWeiermair andMathies (2004) stated that more active leisure activities, more frequent travel and the changing needs of silver hair tourists encourage the development of new products. The offer of tourist activities for silver hair tourists is not optimal given the demographic changes we have detected. Current (social, health and political) prob- lems and problems of tourism for silver hair tourists, given their socio-economic status and general pop- ulation, can be overcome by increasing motivation and creating formal solutions in the field of access to tourism services for them with the participation of the general population and research experts. In order to play a leading role in the competitive travel indus- try, tourism activity providers need to monitor mo- tivational changes and trends and improve their un- derstanding and consideration of silver hair tourists. The greater the knowledge of these trends in tourism development in general and the higher market seg- ment of silver hair tourists in particular, the greater the ability of these stakeholders to formulate clear strate- gies, contribute to new and innovative services and gain a competitive advantage for their organizations and regions (Patterson & Balderas, 2020). Therefore, through this article we wanted to investigate how the selection of tourist activities of silver hair tourists with their grandchildren is influenced by some selected socio-demographic and economic data. Methodology Research Question and Hypotheses Silver tourists differ greatly in lifestyle, income, prefer- ences, health, and age segmentation, which are impor- tant in the design of tourism services and the design of marketing plans. As it is important that we know the target group of silver hair tourists well, we were inter- ested in the socio-demographic and economic charac- teristics of silver hair tourists who are engaged in given tourist activities. Based on this, we set the following re- search hypotheses, as follows: h1 Among tourism activities, elderly women are statistically significantly more likely to choose those activities that involve less dynamics, than elderly men. h2 Older silver hair tourists are more likely to opt for leisurely tourist activities, compared to youn- ger silver hair tourists. h3 Those silver hair tourists with a higher level of education are more likely to choose tourism ac- tivities that develop cultural capital compared to those silver tourists who have a lower level of ed- ucation. h4 Those silver hair tourists with a lower personal monthly income aremore likely to choose afford- able tourism activities compared to silver haired tourists with higher levels of monthly personal income. h5 Silver hair tourists with a higher assessment of their health condition more often choose dy- namic tourist activities compared to those that evaluated their own health condition as not so good. Sample According to the Statistical Office of the Republic of Slovenia (Statistični urad Republike Slovenije, n.d.), as of 31 December 2020 there were 250,631 people aged between 65 and 75 living in Slovenia. To ensure the representativeness of the sample of the entire popula- tion, we calculated theminimum number of question- naires needed to achieve representativeness per 384 re- spondents, opting for a 95 level of confidence and 5 confidence interval. Sampling was occasional and we ensured representativeness in at least three indica- tors based among socio-demographic and economic indicators. Thus, the characteristics from the sample can be transferred or inferred to the entire population (Hannan & Freeman, 1977). In the empirical part of the research, in order to control the amount of data and ensure the represen- tativeness of the sample to the entire population, we included silver hair tourists in the age group 65 and up to 75 years, whichwas divided into two groups: 65 to 69 years and from 70 to 75 years of all statistical regions. The obtained empirical data, which were collected in Multigenerational Centres in Slovenia, in activi- Academica Turistica, Year 15, No. 3, December 2022 | 385 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection ties attended by silver hair tourists, were entered into appropriate computer databases and processed using Excel and spss for Windows. Respondents voluntar- ily filled out printed questionnaires, for which they received instructions, as well as any additional ex- planations. Data collection took place from April to September 2021. During this time, 435 questionnaires were collected, but 30 incompletely completed ques- tionnaires were excluded from further processing. Validity and Reliability of the Sample Upon obtaining 405 valid questionnaires, we wanted to check the representativeness of the sample. We first checked this with the kurtosis and skewness. For gen- der, the skewness is –0.250 and the kurtosis is –1.947. For the age variable, the skewness is 0.122 and the kur- tosis is 1.202. For the urbanization variable ‘Living en- vironment,’ the skewness is 0.791 and the kurtosis is –0.921. The representativeness of the sample was then cal- culated in comparison with the population using the chi-square goodness of fit test (χ2), which showed a value of 2.324 for the variable sex (at the degree of free- dom df = 1) and a significance of p = 0.127. For the age level, the chi-square goodness of fit test showed a value of 17.331 (at freedom level df = 10) and a significance of p = 0.067. In urbanization, the chi-square goodness of fit test showed a value of 0.892 (at a degree of free- dom df = 1) and a significance of p = 0.345. The value of the chi-square goodness of fit test of the distribution at the significance of 0.05 or 5 is 3.8415 for variables with one (1) degree of freedom (variable gender and urbanization) and for variables with ten (10) degrees of freedom (variable age) 18.307 (Košmelj & Rovan, 1997). Thus, based on the obtained results, we can con- firm that the sample obtained during the research is valid and also representative of the entire population. Socio-Demographic and Economic Characteristics of the Sample The data in Table 1 shows that 405 (100) surveyed sil- ver hair tourists were included in the sample, of which 177 (43.7) were men and 227 (56.0) were women; 1 (0.3) respondent did not provide an answer to this question. Regarding age, in the age group from 65 to Table 1 Socio-Demographic and Economic Characteristics of the Sample Variable n  Gender of the respondent Male  . Female  . No answer  . Age of the respondent From  to  years inclusive  . From  to  years inclusive  . No answer  . Living environment Urban environment  . Rural environment  . No answer  . Level of education Primary school or less  . Vocational high school  . High school  . Higher professional degree  . University degree  . Master’s degree or doctorate  . No answer  . Personal monthly net income Up to    . From   to    . From   to    . Over    . No answer  . Assessment of health status Pretty bad  . Good  . Pretty good  . Very good  . No answer  . 69 years 201 (49.6) respondents were included, and in the age group from 70 to 75 years 203 (50.1) re- spondents were included. 1 (0.3) respondent did not give an answer to this question. Regarding the level of 386 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection Table 2 Descriptive Statistics of Tourist Activities of Silver Hair Tourists Tourist activity () () () () Spending time by shores, lakes or pools  . . . Visiting national parks  . . . Visiting amusement and theme parks  . . . Visiting small towns and vil- lages  . . . Tours of big cities  . . . Getting to know the locals  . . . Visiting friends and relatives  . . . Spiritual and religious activities  . . . Visiting historical sights  . . . Visiting galleries and museums  . . . Visiting cultural events  . . . Participation in local festivals  . . . Photography and recording  . . . Sitting in cafes  . . . Exploring local cuisine  . . . Shopping  . . . Experiencing nightlife  . . . Casinos  . . . Watch selected content on tv  . . . Reading books and magazines  . . . Playing board games  . . . Group sports activities  . . . Individual sports activities  . . . Attending matches  . . . Visiting health resorts  . . . Cruises  . . . Notes Column headings are as follows: (1) sample, (2) mean value, (3) standard deviation, (4) median. education, 122 (30.1) respondents with a high school education predominate. The most common personal monthly income of respondents was between 601 € and 900 €, 172 (42.5) respondents. When assessing one’s own health condition, respondents most often assessed it as good, 207 (51.1). Table 3 Statistically Significant Differences of Silver Hair Tourists in the Choice of Tourist Activities According to Gender Tourist activity U p Mean rank () () Tours of big cities . . . . Reading books and magazines . . . . Playing board games . . . . Individual sports activities . . . . Notes Column headings are as follows: (1)male, (2) female. Descriptive Statistics of Variables From Table 2 we can see that according to the 26 selected tourist activities of the surveyed silver hair tourists, the highest mean value was reached by the variable ‘Visiting friends and relatives’ (3.88), followed by the tourist activity ‘Reading books and magazines’ with the mean value of 3.54 and ‘Playing board games (cards, chess . . .),’ with the mean value of 3.38. The lowest mean values were achieved by the tourist ac- tivities ‘Experiencing nightlife’ with the mean value of 1.55, ‘Cruise,’ with a mean value of 1.38 and ‘Casinos,’ with the mean value of 1.33. Statistically Significant Differences in Activities According to Demographic Parameters We were first interested in statistically significant dif- ferences between the selected tourist activities of the surveyed silver hair tourists according to gender. Due to the uneven distribution of variables, we performed an analysis using theMann-Whitney test, which found statistically significant differences between respon- dents by gender according to selected tourism activi- ties of silver hair tourists. From Table 3 we can see that there are statistically significant differences by gender in four tourist ac- tivities, where p < 0.05. In ‘Tours of big cities,’ men rated this tourist activity lower (mean rank = 170.34) than women (mean rank = 196.13). In ‘Reading books and magazines,’ men also rated this tourist activity lower (mean rank = 180.21) thanwomen (mean rank = Academica Turistica, Year 15, No. 3, December 2022 | 387 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection Table 4 Statistically Significant Differences of Silver Hair Tourists in the Choice of Tourist Activities According to Age Tourist activity U p Mean rank () () Spending time by shores, lakes or pools . . . . Photography and recording . . . . Playing board games . . . . Notes Column headings are as follows: (1) 65–69 years, (2) 70–75 years. 205.39). Also in ‘Playing board games (cards, chess . . .),’ men rated this tourist activity lower (mean rank = 178.62) than women (mean rank = 200.98). In the last tourist activity ‘Individual sports activities,’ men rated this tourist activity lower (mean rank = 171.31) than women (mean rank = 193.18). We found that out of 26 tourist activities, statis- tically significant differences were detected in only four tourist activities. In all four, men rated the given tourist activities lower than women. Next, we were in- terested in statistically significant differences of silver hair tourists according to age groups. Here, too, we used the non-parametric Mann-Whitney test due to the uneven distribution of variables. FromTable 4 we can understand that by age groups there are statistically significant differences in the three tourist activities, where p < 0.05. Thus, we found that respondents from the first age group (65–69 years) rate all tourist activities higher than respondents from the second age group (70–75 years): ‘Spending time by shores, lakes or pools,’ ‘Photography and recording’ and ‘Playing board games (cards, chess . . .).’ We were also interested in statistically significant differences of the surveyed silver hair tourists accord- ing to education.With theKruskalWallis test, we anal- ysed the differences between the level of education and the selection of certain tourist activities. Based on the obtained empirical data from Ta- ble 5, we found statistically significant differences in the level of education of the respondents and selected tourist activities in nine tourist activities (p < 0.05). In the tourist activity ‘Visiting national parks’ we found the highest score among surveyed silver hair tourists with a master’s degree and doctorate (mean rank = 297.72), and the lowest score among respondents with completed vocational high school (mean rank = 158.52). In the case of ‘Spiritual and religious activi- ties,’ we found the highest score among the surveyed silver hair tourists with completed vocational high school (mean rank = 197.95) and the lowest among those with university (mean rank = 150.04) educa- tion. In ‘Visiting historical sights,’ the lowest grade was noted among respondents with primary school edu- cation or less (mean rank = 114.57), while the highest grade was found among respondents with university education (mean rank = 212.46). Also, ‘Visits to gal- leries and museums’ stands out as the lowest rated activity among respondents with primary education or less (mean rank = 131.62), while the highest score was found among respondents with university edu- cation (mean rank = 218.22). ‘Visits to cultural events (concerts, theatres)’ were rated the lowest among re- spondents with primary education or less (mean rank = 130.23) and the highest among respondents with uni- versity education (mean rank = 208.80). In the tourist activity ‘Photography and recording,’ we found the lowest score among respondents with primary school or less (mean rank = 124.86) and then the score in- creased until the highest education of master’s degree and doctorate (mean rank = 218.31). In ‘Shopping’ we found the lowest score among respondents with a uni- versity degree (mean rank = 142.81) and the highest score among respondentswith a high school education (mean rank = 209.82). ‘Reading books and magazines’ was rated the lowest by respondents with primary school education or less (mean rank = 139.36) and the highest by those with university education (mean rank = 240.32). ‘Individual sports activities’ were rated the lowest by respondents with primary school education or less (mean rank = 112.54) and the highest by respon- dents with a master’s degree or doctorate (mean rank = 251.44). We found that with the increase in the education of the respondents, the assessment of tourist activities 388 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection Table 5 Relationship between the Level of Education of Silver Hair Tourists and the Selection of Tourist Activities Tourist activity H p Mean rank () () () () () () Visiting national parks . . . . . . . . Spiritual and religious activities . . . . . . . . Visiting historical sights . . . . . . . . Visiting galleries and museums . . . . . . . . Visiting cultural events (concerts, theatres) . . . . . . . . Photography and recording . . . . . . . . Shopping . . . . . . . . Reading books and magazines . . . . . . . . Individual sports activities . . . . . . . . Notes Column heading are as follows: (1) primary school or less, (2) vocational high school, (3) high school, (4) higher professional degree, (5) university, (6) master’s degree or doctorate. Table 6 Relationship between the Monthly Income of Silver Hair Tourists and Tourist Activities Tourist activity H p Mean rank () () () () Spiritual and religious activities . . . . . . Visiting historical sights . . . . . . Visiting galleries and museums . . . . . . Photography and recording . . . . . . Individual sports activities . . . . . . Visiting health resorts . . . . . . Notes Column heading are as follows: (1) up to 600 €, (2) from 601 € to 900 €, (3) from 901 € to 1200 €, (4) over 1201 €. also increased. Exceptions are ‘Spiritual and religious activities,’ where the grade decreased with education, and ‘Shopping,’ with a non-linear distribution of the grade. We were also interested in statistically significant differences of the surveyed silver hair tourists accord- ing to income. With the Kruskal Wallis test, we anal- ysed the differences based on income and the selection of certain tourist activities. Table 6 shows that between the monthly income of surveyed silver hair tourists and selected tourist activi- ties, there are statistically significant differenceswithin six tourist activities (p < 0.05). In the case of ‘Spiritual and religious activities,’ the increase in monthly in- come decreased the tourist activity of respondents, with the highest score for silver hair tourists with a monthly income from 601 € to 900 € (mean rank = 184.64) and the lowest score for respondents with a monthly income above 1201 €. ‘Visiting historical sights’ was rated the lowest by respondents with a monthly income of up to 600 € (mean rank = 138.26) and the highest by respondents with a monthly in- come above 1201 €. Also, ‘Visits to galleries and mu- seums’ were rated the lowest by respondents with a monthly income of up to 600 € (mean rank = 142.01) and the highest by those with a monthly income of over 1201 €. ‘Photography and recording’ was rated the lowest by respondents with a monthly income from 601 € to 900 € (mean rank = 163.24) and the highest by those with a monthly income from 901 € to 1200 € Academica Turistica, Year 15, No. 3, December 2022 | 389 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection Table 7 Statistically Significant Differences of Silver Hair Tourists According to Health Status Assessment Tourist activity H p Mean rank () () () () Spending time by shores, lakes or pools . . . . . . Visiting national parks . . . . . . Visiting amusement and theme parks . . . . . . Tours of big cities . . . . . . Visiting historical sights . . . . . . Exploring local cuisine . . . . . . Casinos . . . . . . Reading books and magazines . . . . . . Group sports activities . . . . . . Individual sports activities . . . . . . Notes Column heading are as follows: (1) pretty bad, (2) good, (3) pretty good, (4) very good. (mean rank = 205.52). Also, ‘Individual sports activi- ties’ were rated the lowest by respondentswith the low- est monthly income, up to 600 € (mean rank = 139.21) and the highest by those with the highest monthly income, over 1201 € (mean rank = 194.17). ‘Visits to health resorts’ were rated the lowest by respondents with the lowest monthly income, of up to 600 € (mean rank = 143.17) and the highest by respondents with the highest monthly income, above 1201 € (mean rank = 205.21). We can conclude that with tourist activities, as the income of the respondents increases, their assessment of an individual tourist activity also increases. The only exceptions were ‘Spiritual and religious activi- ties,’ where the ratings moved in the opposite direc- tion (lower), and ‘Photography and recording,’ where we observe a non-linear distribution. We were also interested in statistically significant differences of the surveyed silver hair tourists accord- ing to their health status. With the Kruskal Wallis test, we analysed the differences based on health status and the selection of certain tourist activities. Based on Table 7, we found that there was a sta- tistical significance between (own) assessment of the health status of respondents and selected tourist ac- tivities in ten tourist activities (p < 0.05). ‘Spending time by shores, lakes or pools’ was rated highest by respondents with a pretty good assessment of their own health (mean rank = 215.38) and lowest by those giving a grade of good (mean rank = 171.82). ‘Visiting national parks’ as a tourist activity was rated the high- est by respondents who rated their health as very good (mean rank = 212.85), and the lowest by those respon- dents who rated it as pretty bad (mean rank = 128.03). Also, ‘Visiting amusement and theme parks’ was rated the highest by respondents with a rating of their own health as pretty good (mean rank = 205.96), and the lowest by those giving a score of pretty bad (mean rank = 143.03 ). ‘Tours of big cities’ were rated high- est by respondents with a rating of very good (mean rank = 213.50) and lowest by respondents with a rat- ing of good (mean rank = 169.00). ‘Visiting histori- cal sites’ was also rated highest by respondents with a very good rating of their own health (mean rank = 244.29) and lowest by those who rated their health as pretty bad (mean rank = 154.18). ‘Exploring local cuisine’ was rated highest by respondents with a very good self-assessment of their health (mean rank = 208.84) and lowest by those who rated their health as pretty bad (mean rank = 146.69). ‘Casinos’ was rated as highest by respondents with a good health status (mean rank = 94.97) and lowest by respondents with pretty bad health (mean rank = 73.00). Respondents also rated ‘Reading books and magazines’ as highest among those with a high rating of their health sta- tus – very good (mean rank = 222.27), and the lowest 390 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection rating was attributed to respondents with a health- condition rating as good (mean rank = 177.32). ‘Group sports activities’ as a tourist activity were rated the highest by respondents with a very good assessment of their health status (mean rank = 232.45), and the lowest by respondents with a good self-assessment of health status (mean rank = 163.62). As expected, ‘Indi- vidual sports activities’ as a tourist activity were rated the highest by the surveyed silver hair tourists with a very good (own) assessment of their health status (mean rank = 253.19) and the lowest by those who as- sess their health condition as pretty bad (mean rank = 150.92). We can conclude that the analysis of five socio- demographic and economic factors of the researched tourist activities showed that they increase along with a better assessment of the health status of the respon- dents, which is expected and logical. Discussion In the field of social tourism, Medarić et al. (2017) found that most research focuses solely on young peo- ple, whilemuch less focuses on silver hair tourists. The research of Pesonen et al. (2015) also showed that sil- ver hair tourists value comfort, functionality or qual- ity and reliability of online travel services. Alén et al. (2016) summarized various authors who researched the motivational factors of silver hair tourists and found that safety, accessibility, orderliness, economy, and appropriate health facilities in the area are impor- tant factors on the basis of which silver hair tourists decide on tourism activities. At the same time, these findings coincide with our results. We reject the statistically significant differences that we predicted in the research hypotheses based on the obtained results In h1, we assumed that in the set of tourist activities, elderly women are statistically significantly more likely to choose those activities that involve less dynamics. The obtained results show sta- tistically significant differences in the four variables. If we look at less dynamic activities, such as ‘Play- ing board games’ and ‘Reading books and magazines,’ we see that both go in the direction of higher ratings of tourist activities for women. We expected that es- timates for less dynamic activities would be higher in women than in men, as also found by Lehto et al. (2001), arguing that women focus more on opportu- nities to socialize and interact with people and their families than men while travelling. This confirms the hypothesis. In h2, we hypothesized that older silver hair tour- ists will be more likely to opt for moderate tourist ac- tivities. Statistically significant differences were found in three activities, all in the direction of a higher score in the age group 65–69 years, perhaps a little surpris- ing, as we expected a higher score in the 65–69 age group with more dynamic activities. Shavanddasht (2018) found that silver hair tourists from the first age group are more eager for novelty and pleasant hol- idays, while silver hair tourists from the second age group place more emphasis on safety and knowledge fulfilment in tourism activities, andMrčela et al. (2015) argued that silver hair tourists (aged 65+) have special characteristics that affect the distribution of the health tourism market. We thus reject the research hypothe- sis. In h3, we predicted that those silver hair tourists with a higher level of education will be more likely to choose tourism activities that develop cultural capi- tal, compared to those with a lower level of education. Statistically significant differences among silver hair tourists were found in nine tourist activities. In seven tourists activities, we recorded more frequent partici- pation in activities that develop cultural capital among silver hair tourists with higher education than among those with a lower education. In the case of ‘Spiritual and religious activities,’ the frequency of participation decreased with the increase of education, while in the activity ‘Shopping’ the frequency is nonlinearly dis- tributed according to the level of education. And it is these two activities that would be harder to place than activities that develop cultural capital. Richards (2016) argued that silver hair tourists with higher edu- cation and higher social status aremore likely to attend cultural tourism activities. The research hypothesis is thus confirmed, as we found a statistically significant difference in tourism activities which can be assumed to raise cultural capital. In h4, we assumed that those silver hair tourists who had a lower personal monthly income will be Academica Turistica, Year 15, No. 3, December 2022 | 391 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection more likely to choose affordable tourism activities. Statistically significant differences among silver hair tourists were detected in six activities. Thus, we found that higher rated activities for silver hair tourists who had a lower personal monthly income were only among ‘Spiritual and religious activities.’ Although Hsu et al. (2007) found that one of the main motiva- tions of elderly adults to become involved in tourism were personal finances, we reject our research hypoth- esis, as we confirmed it in only one activity. In the last research hypothesis we hypothesized that silver hair tourists with a higher assessment of their health status will be more likely to choose dy- namic tourism activities. Statistically significant dif- ferences among silver hair tourists were found in ten tourist activities. In all ten tourist activities, we recor- ded that silver hair tourists with better health rate the activities higher. Thus, we can conclude that health is an important aspect of tourism. Jang and Wu (2006), stated that healthy silver hair tourists are more intrin- sically motivated to travel. However, we cannot con- firm the distinction in the direction of dynamic and calm tourist activities. We thus reject the research hy- pothesis. Tourism, which is on a steep rise, i.e. tourism for silver hair tourists, is therefore even more impor- tant today. Webster (2019) illustrated this with figures when he said that in 1995 there were about 630 mil- lion tourist flights of silver hair tourists worldwide, while the same number was almost 1.46 billion in 2016. Medarić et al. (2017), however, add that the fact that the silver hair tourists are engaged in tourism, go on vacation, and experience new things, certainly repre- sents added value in their lives. Conclusion In the tourism industry, due to the rapid aging of the population and current demographic changes, it is necessary to include tourism for silver hair tourists in the process of formulating a strategy and model of optimal solutions in the field of tourism activities. This is a fairly new travel trend, and at the same time, the silver hair tourists are becoming an increasingly im- portant and growing market in the tourism industry. Today, the silver hair tourists are entering the third pe- riod of life relatively healthy, financially independent and eager for new experiences. They want active and productive aging, as tourism has many positive effects on them (better self-image, greater satisfaction with life, gaining new knowledge, broadening their hori- zons, less anxiety and health problems, etc.). Older people are a very heterogeneous group, so knowing their characteristics is essential when designing the most optimal or innovative programmes and offers for silver hair tourists. In this article, we see that silver hair tourists most often visit friends and relatives, as Möller et al. (2007) also establish. Casinos and cruises are the least used by silver hair tourists, which can also be accounted for in the financial situation of most retirees. Elderly women are statistically significantly higher than men in par- ticipating in moderate tourism activities, as according to Lehto et al. (2001), during travel, they focusmore on opportunities to socialize and interact with people and their families compared to elderly men. Younger sil- ver hair tourists have a statistically significantly higher rating of participation in given tourist activities. From this we conclude that silver hair tourists do not choose more or less dynamic activities depending on their age, but all activities are more attractive to younger silver hair tourists. The level of education plays an impor- tant role in the tendency to extend cultural capital, as well as the amount of monthly income in the choice of tourist activities. The only exceptions are spiritual and religious activities, which are more often attended by silver hair tourists with a lowermonthly income.How- ever, we stated that the state of health does not affect the choice of more or less dynamic tourist activities, but affects the frequency of the general choice of all tourist activities. Research on the socio-demographic and economic factors of silver hair tourists should help the tourism industry develop effective programmes to attract elderly travellers (Jang &Wu, 2006). The findings can help us create innovative ap- proaches thatwill help tourismproviders address some of the future trends identified in the article. They may also be an incentive for a travel agency intended ex- clusively for silver hair tourists, which we do not cur- rently have in Slovenia. Patterson and Balderas (2020) stated the importance of understanding what kinds of 392 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection choices silver hair tourists want in the future, as well as to match their changing needs and take these changes into account proactively. This will not only provide ex- citing opportunities for further research with elderly generations, but also identify practical implications for policy makers, industry practitioners and travel marketers, as a whole. We believe that we need to put our knowledge into practice and start reorganizing tourism; it would also make sense to expand the research and, based on the findings, conduct a new survey in the wider social space on the population of all silver hair tourists. Af- ter all, the complexity of the topic, as we see, is very great. Due to the limited scope, we performed an anal- ysis of only individual statistical variables. Certainly it would be interesting to analyse combinations of the demographic variables, so factor-analysis or grouping would give deeper analysis and understanding of the results. At the same time, an open field of research is being offered in other countries. References Alén, E., Losada, N., & Domínguez, T. (2016). The impact of ageing on the tourism industry: An approach to the senior tourist profile. Social Indicators Research, 127(1), 303–322. Bai, B., Jang, S. S., Cai, L. A., & O’Leary, J. T. (2001). Deter- minants of travel mode choice of senior travelers to the United States. Journal of Hospitality and Leisure Market- ing, 8(3/4), 147–168. Birsa, M., Istenič, K., Vujović, A., & Koštrun, T. (2015). Drobci iz gerontološke literature. Kakovostna starost, 18(1), 60–64. Coale, A. J., & Hoover, E. M. (2015). Population growth and economic development. Princeton University Press. Dimovski, V. (2011). Age management. Human Resource Management Journal, 9(42), 37–40. Eurostat. (2020). Ageing Europe: Looking at the lives of older people in the eu. Publications Office of the European Union. Eurostat. (N.d.). Population structure and ageing. https://ec .europa.eu/eurostat/statistics-explained/index.php /Population_structure_and_ageing#The_share_of _elderly_people_continues_to_increase Evropska komisija. (2021, 17. junij). Poročilo komisije Evrop- skemu parlamentu, Svetu, Evropskemu ekonomsko-social- nemu odboru in Odboru regij o vplivu demografskih spre- memb (com(2020) 241 final). https://eur-lex.europa.eu /legal-content/SL/TXT/?uri=CELEX:52020DC0241 FitzpatrickAssociates. (1998).Tourism in the EuropeanCom- munity: The impact of the single market (Research re- port). Goriup, J., & Lahe, D. (2018). Poglavja iz socialne geron- tologije. ameu – ecm, Alma Mater Europaea Press. Hannan,M. T., & Freeman, J. (1977). The population ecology of organizations. American Journal of Sociology, 82(5), 929–964. Higo,M., &Khan,H. T. (2015). Global population aging:Un- equal distribution of risks in later life between developed and developing countries. Global Social Policy: An Inter- disciplinary Journal of Public Policy and Social Develop- ment, 15(2), 146–166. Hjalager, A. (2002). Repairing innovation defectiveness in tourism. Tourism Management, 23(5), 465–474. Hsu, C., Liping Cai, A., & Wong, K. (2007). A model of se- nior tourism motivations: Anecdotes from Beijing and Shanghai. Tourism Management, 28(5), 1262–1273. Jang, S., & Wu, C. E. (2006). Seniors’ travel motivation and the influential factors: An examination of Taiwanese se- niors. Tourism Management, 27(2), 306–316. Juvan, E., Lesjak, M., Podovšovnik, E., & Jurgec, J. (2021). A destination’s social sustainability: Linking tourism de- velopment to residents’ quality of life. Academica Turis- tica, 14(1), 39–52. Košmelj, B., &Rovan, J. (1997). Statistično sklepanje.Ekonom- ska fakulteta. Lehto, X., O’Leary, J., & Lee, G. (2001). Mature international travellers: An examination of gender and benefits. Jour- nal of Hospitality and Leisure Marketing, 9(1/2), 53–71. Litrell, M. A., Paige, R. C., & Sung, K. (2004). Senior trav- ellers: Tourism activities and shopping behaviours. Jour- nal of Vacation Marketing, 70(4), 348–362. Lohmann, M., & Danielsson, J. (2001). Predicting travel pat- terns of senior citizens: How the past may provide a key to the future. Journal of Vacation Marketing, 7(4), 357– 366. Macuh, B. (2020, 8. avgust). Turizem za starejše: izlet in organizirana doživetja izven doma pripomorejo k večji kakovosti življenja starejših. Seniorji. https://www .seniorji.info/si/aktualno/turizem-za-starejse-izlet-in -organizirana-dozivetja-izven-doma-pripomorejo-k -bolj-kakovostnemu-zivljenju-starejsih-10203894 Macuh, B., & Raspor, A. (2020). Društva upokojencev kot pospeševalci turistične potrošnje in prostočasnih de- javnosti slovenskih upokojencev. Revija za univerzalno odličnost, 9(1), 16–30. Academica Turistica, Year 15, No. 3, December 2022 | 393 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection Markiewicz-Patkowska, J., Pytel, S., Oleśniewicz, P., & Wi- dawski, K. (2019). Modern senior tourism in the con- text of young people tourist activity in Poland. Folia Ge- ographica, 61(1), 68–86. McCabe, S., Joldersma, T., & Li, C. (2010). Understanding the benefits of social tourism: Linking participation to subjective well-being and quality of life. International Journal of Tourism Research, 12(6), 761–773. Medarić, Z., Gabruč, J., & Sedmak,M. (2017). Social tourism benefits for seniors. Academica Turistica, 9(2), 113–117. Minnaert, L., & Schapmans,M. (2009). Tourism as a form of social intervention: The Holiday Participation Centre in Flanders. Journal of Social Intervention: Theory and Prac- tice, 18(3), 42–61. Minnaert, L., Maitland, R., & Miller, G. (2009). Tourism and social policy: The value of social tourism. Annals of Tourism Research, 36(2), 316–334. Möller, C., Weiermair, K., & Wintersberger, E. V. A. (2007). The changing travel behaviour of Austria’s ageing pop- ulation and its impact on tourism. Tourism Review, 62(3/4), 15–20. Mrčela, N. T., Borovac, J. A., Vrdoljak, D., Grazio, S., Luetić, A. T., & Tomek-Roksandić, S. (2015). When elders cho- ose: Which factors could influence the decision-making among elderly in the selection of health tourism ser- vices?Medical Hypotheses, 85(6), 898–904. Nikitina, O., & Vorontsova, G. (2015). Aging population and tourism: socially determinedmodel of consumer behav- ior in the ‘senior tourism’ segment. Procedia: Social and Behavioral Sciences, 214, 845–851. Oliveira, C., Brochado, A., & Correia, A. (2018). Seniors in international residential tourism: Looking for quality of life. Anatolia, 29(1), 11–23. Osvaldo, S., Medeiros, T., Moniz, A. I., Tomás, L., Furtado, S., & Ferreira, J. (2020). Tourists’ characteristics, travel motivation and satisfaction. In Á. Rocha, A. Abreu, J. Vidal de Carvalho, D. Liberato, E. A. González, & P. Liberato (Eds.), Advances in tourism, technology and smart systems: Proceedings of icotts 2019 (pp. 427– 436). Springer. Patterson, I. (2017). Tourism and leisure behaviour in an age- ing world. cabi. Patterson, I., & Balderas, A. (2020). Continuing and emerg- ing trends of senior tourism: A review of the literature. Journal of Population Ageing, 13(3), 385–399. Peceny Starc, U., Mokorel, S., & Ilijaš, T. (2019). Turizem 4.0: izzivi in priložnosti za lokalno skupnost.Uporabna infor- matika, 27(2), 51–56. Pesonen, J., Komppula, R., &Riihinen,A. (2015). Typology of senior travellers as users of tourism information technol- ogy. Information Technology & Tourism, 15(3), 233–252. Petavs, S. (2011, 4. julij). Nasvet: priložnost so zdravstveni, družinski in mladinski turizem. Finance. https://www .finance.si/317446?cctest& Raspor, A. (Ur.). (2018).Postavitev izhodišč za razvoj turizma za starejše in gibalno ovirane osebe. Perfectus, Svetovanje in izobraževanje. Reynaud, C., & Miccoli, S. (2019). Population ageing in Italy after the 2008 economic crisis. Futures, 105, 17–26. Richards, G. (2016). Cultural tourism. In P. M. McManus (Ed.), Archaeological displays and the public (pp. 1–11). Routledge. Samir, K. C., & Lutz,W. (2017). The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100.Global Environmental Change, 42, 181–192. Schänzel, H. A., & Yeoman, I. (2015). Trends in family tour- ism. Journal of Tourism Futures, 1(2), 141–147. Schröder, A., & Widmann, T. (2007). Demographic change and its impact on the travel industry: oldies do nothing but goldies? In R. Conrady and M. Buck (Eds.), Trends and issues in global tourism (pp. 3–17). Springer. Sharpley, R. (2014). Host perceptions of tourism: A review of the research. Tourism Management, 42, 37–49. Shavanddasht, M. (2018). Grandparent’s segmentation by the tourismmotivation: Travelling with or without grandchil- dren. Young Consumers. Statistični urad Republike Slovenije. (N.d.). Prebivalstvo po starosti in spolu, občine, Slovenija, 2008h1–2020h2. SiStat. https://pxweb.stat.si/SiStatData/pxweb/sl/Data/- /05C4002S.px Stončikaitė, I. (2021). Baby-boomers hitting the road: The paradoxes of the senior leisure tourism. Journal of Tour- ism and Cultural Change, 20(3), 335–347. Špindler, T. (2018). The influence of generations and their values on tourism product selection: Theoretical over- view. InM. Gorenak &A. Trdina (Eds.),Responsible hos- pitality: Inclusive, active, green (pp. 165–192). Univerza v Mariboru. umar. (2021). Poročilo o razvoju 2021. Vaupel, J. W., Villavicencio, F., & Bergeron-Boucher, M. (2021). Demographic perspectives on the rise of longe- vity. Proceedings of the National Academy of Sciences, 118(9), e2019536118. https://doi.org/10.1073/pnas .2019536118. Vujović, A., Birsa, M., Istenič, K., & Koštrun, T. (2015). Drobci iz gerontološke literature. Kakovostna starost, 18(1), 60–64. 394 | Academica Turistica, Year 15, No. 3, December 2022 Mihaela Kežman and Jana Goriup Factors Affecting Tourism Activity Selection Webster, C. (2019). Halfway there: The transition from 1968 to 2068 in tourism and hospitality. Zeitschrift für Touris- muswissenschaft, 11(1), 5–23. Webster, C., & Ivanov, S. (2020). Demographic change as a driver for tourism automation. Journal of Tourism Fu- tures, 6(3), 263–270. Weiermair, K., &Mathies, C. (2004). The tourism and leisure industry: Shaping the future.Haworth Press. World Tourism Organization. (2007). A practical guide to tourism destination management. Zsarnoczky, M. (2016). Silver tourism. In International Sci- entificDays 2016: The agri-food value chain; challenges for natural resources management and society (pp. 556–563). Slovak University of Agriculture in Nitra. Academica Turistica, Year 15, No. 3, December 2022 | 395