The study aims to examine the relationship between Sustainable Development Goals (SDGs) knowledge, sustainability attitudes, sustainable entrepreneurship, and sustainable behaviors among students enrolled in business-related courses at Spanish universities. Employing the Knowledge-Attitude-Behavior (KAB) model, this study innovatively disaggregates the attitude variable into attitudes toward sustainability and sustainable entrepreneurship. The findings affirm the direct and indirect effects posited in the model, indicating that familiarity with SDGs positively impacts attitudes toward sustainability, subsequently influencing sustainable behaviors. Moreover, positive attitudes toward sustainable entrepreneurship also directly influence sustainable behaviors. Additionally, the study examines the moderating influence of receiving a scholarship; results indicate that attitudes toward sustainability and sustainable entrepreneurship significantly shape behavior, with the scholarship variable altering the relationship between attitudes toward entrepreneurship and behavior. These outcomes underscore the significance of enhancing SDGs awareness and nurturing favorable attitudes toward sustainability and sustainable entrepreneurship among university students to stimulate sustainable behaviors and advance SDGs objectives.

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

Policy makers and tourism investors have a limited vision of how a certain level of tourism development is possible depending on country-specific conditions such as incomes and competitiveness factors. In this context, the aim of this research is to identify different strategies or solutions, based on different drivers of tourism competitiveness, that lead to tourism development in countries with different levels of per capita income. To this end, the Travel & Tourism Development Index will be used to answer the research questions raised. This paper proposes the use of an alternative methodology such as fuzzy set Qualitative Comparative Analysis (fsQCA). As a result, a total of eight different strategies which lead to tourism development have been identified for the different categories considered, identifying the key drivers to achieve such development for the different economies.

Econometric hedonic models encounter several theoretical and practical difficulties when applied to the real estate market, such as downward biases in the estimation of hedonic prices, subjective decisions in the measurement process of categorical attributes, frontier problems related to an imperfect information framework and uniequational specification. Many of these are linked to the parametric approach. Artificial Neural Networks (ANN) provide an attractive alternative: better dwelling prices estimates, avoidance of bias at different market segments, direct use of categorical data and full use of the information available. The price to be paid is the difficulties in the economic interpretation of network parameters. Nowadays, if the final objective to produce better estimates of the transaction prices, this methodology show lower errors, provided of a broad representative database of sales are recorded. A case study is presented for a medium size city in the South of Spain.

The interest in the Airbnb phenomenon is represented in the fast growth of publications indexed in the Web of Science (WoS) since the research inception of this topic in 2010. However, there are no studies that analyze the incidence of this phenomenon from a bibliometric approach using WoS. Therefore, this paper aims to quantify the incidence and composition of the Airbnb phenomenon through bibliometrics taken it as a data source. To achieve this aim, the WoS statistical instruments and the bibliometric tool VOSviewer are used. The results obtained, such as the number of articles and citations per year, the main categories of these articles, the nationalities of the authors, the most productive institutions, the sources and authors in terms of publications, and the H-Core of the most cited articles, are presented. Finally, concept maps are exposed, representing the relatedness of co-authorship and co-citation among authors, as well as the co-occurrence of the keywords in the articles analyzed. Satisfaction, trust, and innovation appear as the main research lines. This paper can be useful for academics and professionals, giving them a holistic overview of the topic, identifying new research areas, or as an objective manner to literary review approaches.

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.