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Tourism in the Spanish economy represents 11% of the GDP (INE, 2018). Its sun and beach tourism model has diversified into other products, such as cultural tourism, that has been increasing in recent years. The objective of this research is to develop a structural model that measures the behaviour of cultural tourists, to help better understand the main variables affecting their loyalty to a destination, travelling within Spain. After reviewing the scientific literature, a hypothetical-deductive method has been used that focussed on the importance of considering the customer's experience, proposes a set of working hypotheses, contrasted by means of an analysis of the structural equations model (SEM), estimated taking the data from the Resident Tourism Survey/FAMILITUR of the National Statistics Institute (INE). The model confirms the importance of socio-cultural variables and the experience of tourists in loyalty-building and the zero importance of the spend in this relationship. This paper analyses the new segments of tourist demand, with a view to the results obtained assisting in the design of differentiated marketing strategies to increase the repetition of the cultural tourisms visits to the same destination and, therefore customer loyalty. [ABSTRACT FROM AUTHOR]

The existence of works proving the possible relationship empirically that Airbnb lodgings could have with crime in Spain is not known. This research analyzes the relationship between Airbnb lodgings and crimes against the properties and people in Barcelona's neighbourhoods. To achieve this, we use an ordinary least squares regression model and a geographically weighted regression model. The results show a significant and positive relationship between the higher density of Airbnb lodgings and the higher crime rates in the neighbourhoods, especially of patrimonial nature. Divided by type of leased space, the Airbnb homes, in which the guest shares a room with other guests, show a higher relationship with crimes against property and people. The results of the local model show a spatial heterogeneity in all variables used, indicating the need to address non-stationary spatial processes that reveal hidden patterns. However, the only variable that shows statistically significant local variability is the total Airbnb lodgings variable. Finally, we discussed some unexpected results, proposing some future lines of research. [ABSTRACT FROM AUTHOR]

Corporate Social Responsibility (CSR) is implemented unevenly in the Spanish tourism industry. The hotel infrastructure of the country is not an exception. This study analyses the environmental, social and economic dimensions of initiatives with respect to the hotel offer which consumers living in Spain appreciate and value more based on their gender. Empirical analysis is approached using a model of structural equations in which the intensity and sign of differences between men and women can be seen. The main results show that aspects related to the environment are the most important for both genders. The dimensions in which differences are defined are the economic, more valued by men; and social, more valued by women. The document provides relevant information, filling a knowledge gap in this field. [ABSTRACT FROM AUTHOR]