The international wine market has undertaken important structural changes in the first decades of the 21st century, both in terms of demand and offer. In order to mitigate the effect deriving from ...the increase in competition, the European Union (EU) continues to allocate important resources to increase the competitiveness of the winemaking sector by means of its Common Agricultural Policy (CAP) and the Common Market Organization (CMO). This paper aims to understand which factors have an influence on the correct implementation of the CMO measure of promotion in the principal wine exporter country: France. A fuzzy-set model (fs/QCA) has been utilized, studying a period of 10 years since 2009. Results show that is it possible to obtain a better execution ratio of measure of promotion by adapting some key factors, such as CMO budget allocation. These findings could support French national and regional authorities in the task of planning. Moreover, other Member States (MS) could also benefit, since in the new CAP approach, a higher participation in strategic plans is required for them by the EU.
The expansion of holiday rentals' worldwide makes it relevant to confirm what are the determinants of these accommodations' daily rates. This research aims to compare two models on estimating holiday ...rentals' daily rate through variables that influence it; using artificial neural networks and hedonic pricing method, with the same cross-sectional dataset and variables with data obtained from Booking.com listings from Seville (Spain), a 'cultural tourism' large European city. Artificial neural networks estimations adapt better than the hedonic pricing method due to non-linear relations involved, although hedonic estimators have a clearer economic interpretation. Variables related to size, location and amenities appear as the most relevant in the models, including also seasonal and special events factors. The models presented, not only help to clarify these variables but also allow estimating a rental price congruent with the characteristics of the dwelling and season, being useful as an objective valuation method for the main agents of the accommodation sector: Owners, clients and peer-to-peer platforms. This study wants to highlight the convenience of using Booking.com listings as the main data source, as two variables presented as relevant for the models (size and location) are not available in other peer-to-peer platforms like Airbnb.
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.
The perceptions of tourism stakeholders regarding the effects of tourism development in their communities are essential in ensuring the proper design and implementation of sustainable tourism ...development strategies in an area. We designed a survey to gather data about the attitudes of three stakeholders: tourists, residents, and business owners. The respondents were from the island of Sao Vicente in the African archipelago of Cape Verde, which is currently under expansion. The results showed that the three groups positively view increased tourism development in the area, with virtually no differences found between business owners and the other groups, although tourists had a more favourable opinion than residents. Engaging the three groups is essential for the success of tourism development.
This paper presents the operation of the educational software, Real Estate Data Analyzer, to teachers and future teachers. It is a specific software that allows students carry out complete ...statistical analysis projects on the characteristics of the buildings that surround them.
This article analyses the concept of Corporate Social Responsibility in relation to Human Resources (HR) management. Five potential tools are defined and their advantages and disadvantages are ...discussed. Finally, the implementation of the most advanced and powerful tool in this area is studied: the SA8000 standard.
El reciente cambio de paradigma en el sector turístico debido al uso generalizado de las tecnologías de la comunicación ha traído consigo nuevos usos en vivienda. Asimismo, el interés de la población ...por nuevas formas de alojamiento derivadas de la denominada “economía colaborativa” ha generado la expansión de la fórmula de apartamentos turísticos. El objetivo de este estudio es conocer los determinantes de valoración del precio de la estancia diaria de esta modalidad de alojamiento mediante un modelo econométrico utilizando el método de precios hedónicos y empleando a Booking.com como principal fuente de datos. La ciudad seleccionada para el análisis ha sido Sevilla debido al notable auge de este tipo de alojamiento que ha experimentado en años recientes y por ser la urbe de mayor tamaño del sur de España. Variables referidas a la tipología del inmueble, su ubicación, su tamaño, sus amenidades, así como factores relacionados con la estacionalidad y los eventos especiales de la ciudad aparecen como relevantes en el modelo. El grado de ajuste obtenido en el mismo es alto, así como su poder predictivo, pudiendo ser útil para estimar el precio de la estancia por parte de empresarios, clientes, así como las distintas plataformas online en las que se comercializa esta modalidad de alojamiento, una vez conocidas un conjunto de características internas del inmueble, de su entorno y de estacionalidad.
El auge de los nuevos tipos de alojamiento denominados alquileres turísticos (apartamentos turísticos y viviendas con fines turísticos) experimentado en los últimos años a nivel mundial, gracias a la ...expansión de Internet y las redes P2P, despierta el interés por el análisis de estas nuevas fórmulas de estancia. El objetivo de este estudio es la elaboración de un modelo a través del método de precios hedónicos (MPH) que establezca cuáles son las variables fundamentales en la determinación del valor diario de la estancia en alquileres turísticos. Dicha metodología, ha sido ampliamente usada en valoración inmobiliaria y determinación del precio en alojamientos turísticos (mayoritariamente hoteles), aunque se encuentran pocos trabajos en lo que respecta a su uso para valoración de alquileres turísticos. A partir de los datos recogidos sobre Sevilla -la mayor ciudad del sur de España- se obtiene un modelo econométrico para valoración de alquileres turísticos en el que destacan como principales variables explicativas del mismo la ubicación del inmueble, el tamaño, el equipamiento, así como el momento del tiempo en que es tomado el precio. Los resultados del presente estudio pueden resultar de interés tanto a propietarios como a potenciales clientes de alquileres turísticos, para conocer si el precio de la estancia está en concordancia con lo que normalmente ofrecería el mercado en esas circunstancias.
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