1,721,037 research outputs found
Evaluating Biodiversity of an Italian Beach in Different Seasons: A Value of Biodiversity
No full textResponses of macroeconomy and stock markets to structural oil price shocks: New evidence from Asian oil refinery
No full textIn extensive oil-related literature, less attention has been paid to Asia and particularly little evidence is known for oil-refining countries. This paper examines how the economy of an oil-refining country reacts to an oil price shock and performs cross-country comparisons with oil-exporting and oil-importing countries. Singapore (oil refiner), Japan (oil importer), and Malaysia (oil exporter) are analysed through a structural vector autoregression (SVAR) model using both macroeconomic and financial variables. Results show limited reactions of both macroeconomic indicators and stock returns to an oil supply shock, and an oil aggregate demand shock negatively impacts economic activities. Our findings reveal that the country’s status in the oil market is important when an oil-specific demand shock is analysed. Our findings inform policymakers of the effectiveness of using monetary policy tools such as interest rate and exchange rate to mitigate the adverse effects of an oil price shock
Tourists' expenditure behaviour: The influence of satisfaction and the dependence of spending categories
No full textA review of the literature shows that the relationship between satisfaction and tourism expenditure, as well as the dependence among different tourist expenditure categories, are under-researched topics. The aim of this study is twofold: first, to investigate the influence on tourism expenditure of tourists' satisfaction with the destination, correcting for the effect of some socio-demographic and trip-related variables; second, to study the dependence among tourist expenditure on the different tourist categories that create the overall expenditure for the trip. This study focuses on an analysis of the expenditure behaviour of a sample of international visitors who travelled in an area around the Dolomites in Northern Italy, adopting the doublehurdle model with the Heien and Wessells estimator. In discussing the results, policy implications and managerial issues for tourism destinations are presented
Me, My Girls, and the Ideal Hotel: Segmenting Motivations of the Girlfriend Getaway Market Using Fuzzy C-Medoids for Fuzzy Data
No full textSegmenting the motivation of travelers using the push and pull framework remains ubiquitous in tourism. This study segments the girlfriend getaway (GGA) market on motivation (push) and accommodation (pull) attributes and identifies relationships between these factors. Using a relatively novel clustering algorithm, the Fuzzy C-Medoids clustering for fuzzy data (FCM-FD), on a sample of 749 women travelers, three segments (Socializers, Enjoyers, and Rejoicers) are uncovered. The results of a multinomial fractional model show relationships between the clusters of motivation and accommodation attributes as well as sociodemographic characteristics. The research highlights the importance of using a gendered perspective in applying well established motivation models such as the push and pull framework. The findings have implications for both destination and accommodation management
Residents' perceptions of tourism impacts and attitudes towards tourism policies
No full textThe purpose of this paper is to explore residents' perceptions of tourism impacts and how they affect attitudes towards local tourism policies. Particular attention is paid to the analysis of community attachment and employment sector of residents. This study presents the results of a quantitative survey among residing families of a small mountain community located in the North-East of Italy. The findings reveal that residents perceptions on economic, environmental and socio-cultural impacts affect their support to local tourism policies. Residents who perceive positively tourism impacts are more willing to support future tourism development policies. The analysis has also demonstrated that native-born residents generally perceive negatively tourism impacts and are less willing to support any increase in the overall number of tourists, supporting the well know social exchange theory. Some implications for the tourism planning and management of the destination are also discussed
Visitors' expenditure behaviour at cultural events: The case of Christmas markets
No full textThis paper examines the determinants of visitors' expenditure behaviour at cultural events. The authors analyse visitors' expenditure at the micro-level, dividing it into expenditure on accommodation and expenditure on food and beverages. The explicative variables taken into account are socio-demographic, economic, psychological and trip-related attributes. An ad hoc survey was conducted on the three most famous Christmas markets in the north of Italy in December 2008 and 2009. To achieve their aims, the authors use the robust double-hurdle model. The results indicate that travel purpose, region of origin, perception of the event, length of stay and age are significant factors influencing both the propensity to spend and the amount of money actually spent during visits. The findings will provide destination managers and tourism businesses with practical knowledge useful for destination marketing, event development and customer service
Perceptions of authenticity of cultural events: A host-tourist analysis
No full textMany cultural events are an adoption of past rituals and traditional customs created by destination managers in order to advance tourism development. However, to be successful, such cultural events need to be authentic and need the support of the local community and the capacity of the locals to identify themselves with what is staged. In this article, the authors analyze the perception of authenticity by tourists and local residents at Christmas Markets in Northern Italy. The main objectives of this article are to determine the level of authenticity perceived by visitors and to examine any differences between tourists and local residents. To do so, a Logistic regression model was employed. The results show not only a difference between the two groups, but especially the need for local organizers to focus on the involvement of local residents in the organization of fringe events based on deeply rooted local customs. This will provide tourists with a broader experience of the local traditions and more opportunities to interact with local residents. © 2013 Cognizant Comm
Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure
Full text linkThe COVID-19 pandemic is challenging how healthcare technologies are evaluated, as new, more dynamic methods are required to test the cost effectiveness of alternative interventions during use rather than before initial adoption. Currently, health technology assessment (HTA) tends to be static and a priori: alternatives are compared before launch, and little evaluation occurs after implementation. We suggest a method that builds upon the current pre-launch HTA procedures by conceptualizing a mean-variance approach to the continuous evaluation of attainable portfolios of interventions in health systems. Our framework uses frontier analysis to identify the desirability of available health interventions so decision makers can choose diverse portfolios based upon information about expected returns and risks. This approach facilitates the extension of existing methods and assessments beyond the traditional concern with pre-adoption data, a much-needed innovation given the challenges posed by COVID-19
The visitors’ authenticity perception at the museums: archeology versus modern art museums
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