Cultural Tourism And Flamenco In The City Of Cordoba (Spain)

Flamenco is a tourist product that can attract many visitors from around the world, and the city of Cordoba (Spain) has an important role in the origins of flamenco. This work studies whether the satisfaction of cultural tourists who visit the city can be influenced by cultural offers related to flamenco. To achieve this objective, fieldwork was carried out based on 709 surveys conducted in the most important flamenco “tablaos” (stages) of the city. The techniques of factorial analysis and linear adjustment were used. The results show that flamenco can be a product that complements the satisfaction of cultural tourists.     

Perceived Determinants of Well-Being and Enjoyment Level of Leisure Activities

Two facets of leisure, perceived determinants of well-being and enjoyment of common leisure activities, were investigated in 388 participants. For well-being, a principal components (PCA) analysis yielded five components: competence, relatedness and health, wealth, personal values, and freedom of choice. For the enjoyment of leisure activities, another PCA generated seven components: wellness, sedentary leisure, intellectual leisure, social leisure, routine activities, self-realization, and inner peace. Different leisure enjoyment of young adults (18–30 years old) in contrast to adults and seniors was attributed to social transformations as also predicted by several theories of social change. The relationship between the determinants of well-being and enjoyment of leisure activities was statistically significant but meaningfully debatable.     

The role of tourism management in adaptation to climate change – a study of a European inland area with a diversified tourism supply

The Carpathian Basin is one of the most vulnerable European regions in terms of potential climate change impacts on biodiversity. Its wide range of tourism activities make it uniquely suitable for assessing the effects of climate change on tourism. This research sought to create a Tourism Adaptation Portfolio (TAP) for the Szentendre micro-region in Hungary and to assemble an adaptation toolbox for current and future use by tourism organizations. The TAP contains practical, easy to implement solutions for key stakeholders in the sector by adaptation type (technology, management, behavior, education, policy). Surveys of local tourism suppliers showed that 70% said they were well informed, largely by the Internet, but 55% admitted to not knowing enough. The methodology outlined here is transferable and the process can be replicated elsewhere, supporting other regions in becoming climate-friendly tourism destinations, creating opportunities for uniquely positioning a region for consumers. The article provides a concise overview of tourism provider attitudes assessed through a questionnaire, shedding light on points of intervention, willingness to pay, main barriers and suitable adaptation instruments. The adaptive capacity of stakeholders is also discussed, which is indispensable for implementing successful practices in adaptation and maintaining the current level of environmental services.     

In and out of everyday life through film experiences: an analysis of two social spaces as leisure frames

The new information and communication technologies have made it possible to view films in different spaces. Using the symbolic interactionist framework as a frame of analysis, we interpret the meaning of the two experiences of viewing technology-mediated films in the home and in the cinema. We conducted field research during the first half of 2009, digitally recording 16 interviews with research participants living in Barcelona (Spain). The interviews were transcribed verbatim with the help of voice-recognition software. Reports from our research participants indicate that individuals considered only the cinema experience to be a true leisure activity, while the home experience was interpreted as a routine recreational activity. Therefore, the meanings of the film-viewing activity were associated with the symbolic properties of the frames of interpretation. Finally, we discuss the implications of these findings for the home as a unified centre where shared meanings are co-produced by family members.     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

Noncentral bimatrix variate generalised beta distributions

In this paper, we determine the density functions of nonsymmetrised doubly noncentral matrix variate beta type I and II distributions. The nonsymmetrised density functions of doubly noncentral and noncentral bimatrix variate generalised beta type I and II distributions are also obtained.     

Interpretation problems of the partial correlation with nonnormally distributed variables

The partial correlation is a commonly used measure for assessing the bivariate correlation of two quantitative variables after eliminating the influence of one or more other variables. The partial correlation is generally interpreted as the correlation that would result if the variables to be eliminated were fixed (not allowed to vary and influence the other variables), which is referred to in the statistical literature as conditional correlation. The present paper demonstrates, by means of theoretical derivations and practical examples, that when the assumption of multivariate normality is violated (e.g., as a result of nonlinear relationships among the variables investigated) the usual interpretation of the partial correlation coefficient will be basically incorrect. In extreme cases the value of the partial correlation coefficient may be strongly positive, close to 1, whereas the conditional correlation may have a large negative value. To solve this problem the paper suggests to partial out a certain function (in most cases the square) of the variables whose effects are to be eliminated if nonlinear relationships are likely to occur.     

HEGY Tests in the Presence of Moving Averages*

We analyze the asymptotic distributions associated with the seasonal unit root tests of Hylleberg et al. (1990) for quarterly data when the innovations follow a moving average process. Although both the t‐ and F‐type tests suffer from scale and shift effects compared with the presumed null distributions when a fixed order of autoregressive augmentation is applied, these effects disappear when the order of augmentation is sufficiently large. However, as found by Burridge and Taylor (2001) for the autoregressive case, individual t‐ratio tests at the semi‐annual frequency are not pivotal even with high orders of augmentation, although the corresponding joint F‐type statistic is pivotal. Monte Carlo simulations verify the importance of the order of augmentation for finite samples generated by seasonally integrated moving average processes.