The Stuff of which Dreams are Made: Representations of the South Sea in German-language Tourist Brochures

The ways in which the South Pacific islands are represented in German-language tourist brochures is investigated. Our discussion of these brochure representations will examine the contrasts between tourism advertising imagery and the day-to-day interactions of tourists and locals in the islands represented. Informed by literature on motives for travel, tourist brochures, place promotion and commodification, we will discuss how German, Swiss and Austrian tourism operators depend on a deep-seated desire on the part of tourists to engage with a mythical paradisal Utopia. Common to many cultures, Utopia represents dreams of a better reality. We emphasise therefore that in addition to the now well-documented paradisal element of island tourism promotion, German-speaking tourists are enticed to the South Pacific by advertising references to it as a place where dreams may be fulfilled.     

A Panel Cointegration Analysis of the Impact of Tourism on Economic Growth: Evidence from the Middle East Region

This paper examines the contribution of tourism industry to the GDP of three selected destinations in the Middle East region: Bahrain, Jordan and Saudi Arabia. We introduce a quadratic functional form and apply the advanced panel cointegration dynamic model with robust estimation to test our hypothesis. Our analysis is based on a comprehensive set of panel data of tourism receipts, education investment, foreign direct investment and fixed capital formation over the period of 1981–2008. The results show a long‐run relationship between tourism growth and GDP. We also show that tourism has a stronger impact on the economy than other related sectors. Copyright © 2013 John Wiley & Sons, Ltd.     

A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games

The 2008 Beijing Olympic Games had a great impact on the tourism industry in Beijing, especially on tourism flows and movements. This study used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics. The result revealed that overseas tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing. The study identified the diversity of tourist attractions and the expansion of main visiting areas as the two main changes during the Olympics. Copyright © 2011 John Wiley & Sons, Ltd.     

A Comparative Analysis of Three Types of Tourism Demand Forecasting Models: Individual,Linear Combination and Non‐linear Combination

This paper investigates the combination of individual forecasting models and their roles in improving forecasting accuracy and proposes two non‐linear combination forecasting models using Radial Basis Function and Support Vector Regression neural networks. These two non‐linear combination models plus the standard Multi‐layer Perceptron neural network‐based non‐linear combination model are examined and compared with the linear combination models. The UK inbound tourism quarterly arrival data is used and the empirical results demonstrate that the proposed non‐linear combination models are robust and outperform the linear combination models that currently dominate in the tourism forecasting literature. Copyright © 2013 John Wiley & Sons, Ltd.     

Analysis of the labour force composition on cruisers: The Danube through Central and Southeast Europe

The aim of this paper is to contribute to the knowledge of the river cruise labour structure. It presents the crew demographics and structure on-board the cruisers along Danube throughout Central and South Eastern Europe. Its goal is to answer the following questions: What are the gender and ages of the ships’ crews? Are they structured according to the country of origin? Is there interdependence between the employment rank of the crew members and the degree of the economic development of the country they come from?The data has been collected from the manifests of the cruise vessels which docked in Serbia over the 9 month research period during the 2007 cruise season. Firstly, data from the 2218 employees on-board the 54 cruisers was collected. Secondly, in-depth interviews with a small sample of cruisers officers, staff and crews (2007–2010) were conducted. The findings of the study have several theoretical and practical implications. Namely, previous related studies have been mainly focused on the ocean cruisers and neglect the rising importance of the river cruisers, especially for the European region. The study also discusses the possibilities for improvement of the human resources management and strategic development management of the European countries, which already have and those which have not yet positioned themselves on the river cruising market.Finally, key demographic employment data and characteristics (e.g. gender, average age, occupational groups, etc.) are important factors to consider when conducting a comprehensive labour force analysis, for they provide the organization a chance to build on its strengths and to minimize challenges and risks.     

Measuring aeronautical service efficiency and commercial service efficiency of East Asia airport companies: An application of Network Data Envelopment Analysis

Improving operation efficiency has become an important development strategy for many airport companies. However, there is little research on these companies' operating process decomposition or discussing the causes of inefficiency in sub-processes. This study evaluates the overall efficiency and the operational efficiencies of aeronautical service sub-process and commercial service sub-process for 10 East Asia airport companies from 2009 to 2013 using Network Data Envelopment Analysis (NDEA) and identifies the key influencing factors of respective sub-processes efficiency by employing the Panel Data model. The first-stage NDEA results indicate that only Airport Authority Hong Kong in 2012 and 2013 performed efficiently in both sub-processes and achieved overall efficiency. The overall efficiencies of all other companies are not high. During the entire study period, in aeronautical service sub-process, Beijing Capital International Airport Co., Ltd. and Shanghai International Airport Co., Ltd. performed efficiently, while in commercial service sub-process, only Hong Kong airport performed efficiently. The second-stage regression analysis implies the number of airlines served and the number of destinations have significant and positive influences on the efficiency of aeronautical service. Non-aeronautical revenues and service quality have significant and positive influences on commercial service efficiency.