Francisco Sánchez-Cubo

Purpose: Beer is the most consumed alcoholic beverage worldwide, and beverages play a crucial role in dining. During the past few years, beer tourism has become an attractive tourism segment. However, despite the growing body of literature on craft beer, the relationships within the tourism sphere still need to be explored from a broader perspective. Design/methodology/approach: Using data from a self-administered survey, quantitative methods were applied to shed light on such relationships. Specifically, a PLS-SEM model was proposed, and between-group differences tests were carried out, including U Mann–Whitney and multigroup analyses (PLS-MGA). Findings: The above methods demonstrated the existence of a contextual construct (“Context”) that helps explain the personal behaviours towards beer (“Personal”) before further analysing the beer and tourism relationships. Moreover, the effects of such personal behaviour on the preparation of the trip (“PreTrip”) and the attitudes after the trip (“PostTrip”) were also corroborated. Plus, partial differences between groups were found regarding the preferred type of beer and the origin of the tourists, while sex and frequency of consumption retrieved non-significant results. Originality/value: To the best of the authors’ knowledge, this work stands out as the first one to comprehensively address the latent relationships between beer and tourism, and one of the first to include general beer consumers in the sample, not limiting it to craft beer consumers.

Subjective happiness has become a social indicator determining citizens' social and personal well‐being. Therefore, this study aims to analyse the socioeconomic variables that may affect it and discuss their role in the public policy agenda. This indicator is usually used, among other issues, to determine the degree of citizen satisfaction with public policies, which in this work has been based on knowledge of subjective happiness from the processing of data through descriptive and inferential analyses of a sample of the European population obtained from the European Social Survey. These analyses conclude that factors such as family income, health, social and family relationships, and the ability to plan one's future and expectations of future development impact subjective happiness. All these factors are susceptible to being determined by public policies, and their promotion can serve as an incentive to strengthen the legitimacy of public institutions and shape a balanced and happy democratic society.

Usually, when it comes to short‐term rentals (STRs), there are three approaches: prohibition, limitation or laissez‐faire. Using experimental data on STRs from the National Statistics Institute, we analyse the fluctuations in their figures in all municipalities in Spain to determine whether there is a link between the type of regulation and its effects. Plus, we discuss the most recent sentence, which allows a new way of regulating STRs and becoming a game changer in the near future.

Traveling to explore family origins has become one of the contemporary ways to enjoy leisure tourism. Although academic research has been conducted, little attention has been paid to profiling individuals who travel to investigate their family history in archives. Data from a self-administered questionnaire to Hispanic-American genealogists was analyzed through descriptive and latent class analysis to profile genealogical tourists. Based on their sociodemographic characteristics and motivations, two types arise: roots genealogical tourist—primarily interested in connecting with the family's place of origin—and researcher genealogical tourist—who focuses on archival research tasks and acquiring family history knowledge.

Estudiar los efectos de una población cada vez más envejecida es crucial, pero se encuentra escasamente estudiado en el sector turístico. Este trabajo utiliza análisis descriptivos y regresiones logísticas multinomiales para hallar los factores explicativos del gasto de los mayores en hostelería y ocio antes y durante la pandemia COVID-19, con datos del Instituto Nacional de Estadística de España, empleando muestras de población adulta y anciana en 2019 y 2020. Los resultados sugieren que la renta, el número y situación laboral de los miembros del hogar y el número de viviendas aumentan las posibilidades de gastar más, al contrario que el tamaño del municipio de residencia; la variable sexo no fue concluyente.