808 resultados para 150602 Tourism Forecasting


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This review considers the main tourism policy documents published by the UK Department for Culture, Media & Sport which are explicitly linked with the hosting of the Olympic Games in London in 2012. It reflects on the use of evidence gained from wider events hosting strategies utilized elsewhere, but notes concern about the lack of a coherent marketing theme and the potential to spread the tourism benefits beyond the main event venues. It concludes citing again the oft-noted problem about the links between tourism and wider cultural strategy development.

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This paper investigates applications of complexity theory in the social sphere and considers its potential contribution to enhance understanding of tourism policy making. Five concepts are identified to explore complex social circumstances and human interactions that influence policy. Social applications of complexity suggest a move towards localised and deeper studies to explore the dynamics of policy enactment in context. It suggests complexity theory might be used as a thinking tool to enable a more holistic approach to policy analysis and investigate policy in its context, considering interactions between different policies/programmes, and the implications of human agency.

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The role of tourism in delivering wider economic legacies is strongly stated in recent national tourism policy documents. The Olympic Games are envisaged to have the legacy impact of ‘4 million extra visitors’ and ‘50,000 extra jobs’ over 4 years (DCMS (2011). Government Tourism Policy, p. 15). This paper considers the nature of Olympic tourism and the possible contribution of the Cultural Olympiad to developing a cultural tourism legacy. It does this by investigating local perceptions of culture and local cultural enactments in the London Borough of Hackney, one of the five boroughs surrounding the Olympic Park. This research shows that local cultural enactments and programming connected to the Olympics are largely motivated by a wider social agenda. They are funded by a wide variety of arts, social and youth programmes and largely reflect initiatives and projects that were already in place in the Borough. While there is an acceptance that cultural events might stimulate the visitor economy, specific discourses around ‘tourism’ and ‘tourists’ are not expressed by the people engaged in the local process.

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Regeneration proposals typically seek to use a range of physical, economic and social initiatives to tackle inequality and improve areas. Often they attempt to change the image of places, making them more attractive to tourists, investors, and residents. The role of tourism in these regeneration processes is complex and contested. Tourism elements are often not well understood by decision-makers and sometimes create tensions with wider social regeneration aspirations. Using concepts from complexity theory, this paper interrogates the relationship between tourism and wider regeneration aspirations connected with the 2012 Olympic Games. It uses complexity theory to explore the context within which policies are developed, and the relationships between different policy initiatives. Both are highly complex, constantly evolving and sometimes ambiguous. It argues complexity concepts might be used to help to develop deeper understanding of the relationships between tourism and regeneration.

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Finding the balance between economic development and preservation of the natural environment is a challenging yet important task. This is a particularly pressing issue in the case of China, as it is the largest and fastest-growing market for tourism. The purpose of this research is to examine Chinese tourists’ participation in nature-based, tourism activities by incorporating tourists’ environmental concern, measured by a revised New Environmental Paradigm (NEP) scale, into a tourism constraint-negotiation model. The responses of 409 Chinese tourists show environmental concern will positively affect tourists’ motivation, which, in turn, will affect their negotiation strategy and ultimately their participation behavior. The theoretical and managerial implications of this study are discussed in the context of the tourism literature.

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This paper provides an empirical study to assess the forecasting performance of a wide range of models for predicting volatility and VaR in the Madrid Stock Exchange. The models performance was measured by using different loss functions and criteria. The results show that FIAPARCH processes capture and forecast more accurately the dynamics of IBEX-35 returns volatility. It is also observed that assuming a heavy-tailed distribution does not improve models ability for predicting volatility. However, when the aim is forecasting VaR, we find evidence of that the Student’s t FIAPARCH outperforms the models it nests the lower the target quantile.

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This paper presents an artificial neural network approach for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. The accuracy of the wind power forecasting attained with the proposed approach is evaluated against persistence and ARIMA approaches, reporting the numerical results from a real-world case study.