The enormous expansion of the video game sector, driven by the emergence of live video game streaming platforms and the professionalisation of this hobby through e-sports, has spurred interest in research on the relationships with potential adverse effects derived from cumulative use. This study explores the co-occurrence of the consumption and viewing of video games, based on an analysis of the motivations for using these services, the perceived positive uses, and the gamer profile. To that end, a multilayer perceptron artificial neural network is developed and tested on a sample of 970 video game users. The results show that the variables with a significant influence on pathological gaming are the motivation of a sense of belonging to the different platforms, as well as the positive uses relating to making friends and the possibility of making this hobby a profession. Furthermore, the individual effects of each of the variables have been estimated. The results indicate that the social component linked to the positive perception of making new friends and the self-perceived level as a gamer have been identified as possible predictors, when it comes to a clinical assessment of the adverse effects. Conversely, the variables age and following specific streamers are found to play a role in reducing potential negative effects.

During a pandemic, residents of tourism destinations face the dilemma of whether to welcome tourists to help the economy rebound or to oppose their arrival to minimize the risk of contagion. This paper examines the influence of residents’ perception of the economic crisis triggered by the pandemic and the health risks associated with tourist arrivals on their attitudes towards tourism impacts and willingness to support tourism development. To this end, a novel model is tested using structural equation modelling (SEM). The potential moderating effect of belonging to certain population groups is also analysed, namely (i) having a household member linked to the tourism sector, (ii) residing in the city centre, and (iii) belonging to a COVID-19 risk group. Perceived risk of contagion was found to be a stronger predictor of residents’ support for tourism development than perception of the economic crisis; an effect that increases notably among residents of the most popular tourist areas of the city. These empirical findings provide useful information with a view to designing destination planning strategies during and after the pandemic. GRAPHICAL ABSTRACT

In recent years, the number of sharing economy accommodations has grown exponentially due to the Internet and peer-to-peer networks, which has made researchers increasingly interested in analysing this new type of lodging. This study sought to develop models that determine the significant variables for the daily price of staying in holiday rentals based on data extracted from Booking.com and other sources. The hedonic pricing method (HPM) was selected to conduct the research as this methodology has been widely used in real estate valuation and hotel daily rate determination; however, the HPM is still rarely used for holiday rentals. The study focused on the city of Seville, where a notable increase in holiday rentals has been observed in recent years. Variables related to the accommodation typology, including location, size and equipment, as well as seasonality, are the most influential factors in the proposed models. These results are of interest to both owners and users of holiday rentals and can help these individuals to determine if the price of a stay is what would commonly be offered in the market under normal circumstances.

Sustainability is becoming, in itself, an element of differentiation and competitiveness in tourism markets. However, the transition to sustainable tourism is a difficult task that requires time, money, and the willingness of stakeholders. The aim of this research is to estimate which factors explain tourism companies’ willingness to pay (WTP) the most widely accepted tax instruments, which can be used to finance subsequent policy development related to the sustainability of the destination. The factors that influence WTP of the most accepted instruments are also identified through a logistic regression model. The study was carried out in Andalusia, a popular tourist region in Spain. To this end, a survey was carried out of 916 tourism companies. The results obtained show that the factors that influence tourism companies’ willingness to pay are: commercial activity, business size, and annual turnover. In addition, taxes related to environmental protection generate greater WTP among tourism companies.

El tradicional modelo de producción lineal aplicado en la industria de la moda, basado en extraer, producir y desperdiciar, trajo consigo serias consecuencias negativas en el plano medioambiental, económico y social. Como desafío surge el denominado movimiento slow fashion, con el objetivo último de introducir la sostenibilidad en el sector textil. De este modo, se inicia la transición hacia la implementación de un modelo de economía circular que implica cambios sustanciales, tanto del lado de los oferentes como de los demandantes. El objetivo de este trabajo es desarrollar los pilares básicos en los que se sustenta el modelo alternativo de economía circular. Los resultados evidencian que el uso de fibras textiles sostenibles, la utilización de fuentes de energía renovables, el alargamiento del período de utilización de las prendas y una adecuada gestión de los residuos generados constituyen los cuatro pilares de este nuevo modelo. Entre las conclusiones se subraya el gran impulso que para la implantación del mismo puede suponer la actual preocupación de las autoridades públicas por el cumplimiento de los Objetivos de Desarrollo Sostenible de la Agenda 2030 de Naciones Unidas. Asimismo, para que este modelo prospere es imprescindible un programa educativo integrado para consumidores e industria.