This study analyses the potential impact of climate change on EU tourism demand and provides long-term (2100) scenarios … accounting for adaptation in terms of holiday duration. Our long-term projections for tourism demand are based on hedonic … hypotheses regarding the time dimension of tourism demand. We derive alternative scenarios for adaptation of holiday in terms of …

approach. The focus is on some specific demand-enhancing effects which should confirm the feasibility of implementing … sustainable tourism policies. Multinomial logit estimations reveal the strong negative effects resulting from the congestion of …

. Climate change can be expected to have an effect on this attractiveness and will subsequently alter patterns of demand. An …

. We also use the model to examine the impact of sea level rise on tourism demand. Climate change would shift patterns of …We use an updated and extended version of the Hamburg Tourism Model to simulate the effect of development and climate … change on tourism. Model extensions are the explicit modelling of domestic tourism and the inclusion of tourist expenditures …

continents, such as Ireland) or on intercontinental flights (e.g., Africa) will see a decline in international tourism numbers … would stay closer to home so that EU tourism would grow at the expense of other destinations. Sensitivity analyses reveal … that the qualitative insights are robust. A carbon tax on aviation fuel would have little effect on international tourism …

The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that … frequencies on a common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using …

that asymmetries show up in their unconditional distribution, as well as in their unconditional copula. The VaR forecasting …

different types of econometric models for oil price forecasting. Several specifications have been proposed in the economic …). The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that should … common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using static and …