The contribution of vacations to quality of life

The contribution of vacations to people’s life satisfaction and Quality of Life (QOL) has recently attracted substantial attention among tourism researchers. Yet, most QOL scales do not include vacations: 7% explicitly measure vacations whereas 42% only include items relating to vacations within the broader Leisure domain. Leisure and vacations, however, differ substantially in nature with leisure referring to regular home-based activities and vacations being infrequent leisure activities away from home. As a consequence of the common amalgamation of vacations with leisure, there is limited knowledge about the specific contribution of vacations to people’s QOL. The present study (1) presents empirical evidence for the contribution of vacations to QOL, (2) determines the extent of this contribution, and (3) investigates variation in the extent to which vacations contribute to the QOL of different people. Results indicate that vacations contribute to the QOL of the majority of people, are as important a QOL domain as Leisure and People, and that QOL means different things to different people at different points in their life, representing an individual and dynamic concept.     

A preliminary study on customer expectations of hotel hospitality: Influences of personal and hotel factors

This study attempts to explain the influence of personal and hotel factors on the expectation level of hotel hospitality as well as to propose a scale to measure commercial hospitality for hotel services. A total of 101 local and international hotel guests were involved in the study. The results revealed that the expectations of hotel hospitality are influenced by personal factors such as gender, purpose of stay, nationality, and private domain of hospitality. The hotel's star rating is the only hotel factor that might have strong association with hotel hospitality.     

Persistence of Output Fluctuations Under Different Exchange Rate Regimes

In a recent paper, Giugale and Korobow (2000) present evidence that suggests that the time required by output to return to trend following a financial shock is faster under a flexible exchange rate regime than under a fixed exchange rate. In this paper, we use vector autoregression models to measure the persistence properties of output for a number of countries in the Asia–Pacific region. Our results suggest that output persistence is not uniquely related to a country's choice of exchange rate regime. The two countries in our sample with the least persistent output following a financial shock are Australia, where the exchange rate is fully flexible, and Hong Kong, where it is rigidly fixed via a currency board.     

Governing the Palm-Oil Sector through Finance: The Changing Roles of the Indonesian State

By analysing the different roles of the Indonesian state in arranging finance schemes for palm-oil development since 1945, this article aims to answer two questions: What are these roles? And to what extent have they prioritised or balanced economic growth, social equity, and environmental protection? We conclude that the state has never been absent from the palm-oil industry but has had different and changing financing roles that are historically contingent and shaped by the evolving economic and political landscape. Furthermore, these roles reflect Indonesia’s priorities of achieving economic growth through palm-oil development, furthering social equity, and, recently, promoting environmental sustainability.     

A review of experience curve analyses for energy demand technologies

Transitioning towards a sustainable energy system requires the large-scale introduction of novel energy demand and supply technologies. Such novel technologies are often expensive at the point of their market introduction but eventually become cheaper due to technological learning. In order to quantify potentials for price and cost decline, the experience curve approach has been extensively applied to renewable and non-renewable energy supply technologies. However, its application to energy demand technologies is far less frequent. Here, we provide the first comprehensive review of experience curve analyses for energy demand technologies. We find a widespread trend towards declining prices and costs at an average learning rate of 18 ± 9%. This finding is consistent with the results for energy supply technologies and for manufacturing in general. Learning rates for individual energy demand technologies are symmetrically distributed around the arithmetic mean of the data sample. Absolute variation of learning rates within individual technology clusters of 7 ± 4%-points and between technology clusters of 7 ± 5%-points both contribute to the overall variability of learning rates. Our results show that technological learning is as important for energy demand technologies as it is for energy supply technologies. Applying the experience curve approach to forecast technology costs involves, however, unresolved uncertainties, as we demonstrate in a case study for the micro-cogeneration technology.     

Tourism theory and the earth

Given that tourism is an “earthly business”, why is it that the Earth rarely explicitly appears in tourism studies and tourism theory? In an attempt to grapple with this paradox, this paper seeks to contribute to a conceptual re-cognition of the Earth in tourism theory by probing some theoretical obstacles and possibilities. The paper demonstrates how the Earth has been conceptually erased in tourism theory by a privileging of the mapping of tourism and tourists onto the reference plane of the social. As an alternative the paper seeks to provide a geo-philosophically informed conceptualisation of the Earth as a primary plane of reference of which tourism is a particular form of de/re-territorialisation.     

Dismantling terrorist networks: Evaluating strategic options using agent-based modeling

Dismantling dark networks remains a critical goal for the peace and security of our society. Terrorist networks are the most prominent instantiation of dark networks, and they are alive and well. Attempts to preemptively disrupt these networks and their activities have met with both success and failure. In this paper, we examine the impacts of four common strategies for dismantling terrorist networks. The four strategies are: leader-focused, grassroots, geographic, and random. Each of these strategies has associated pros and cons, and each has different impacts on the structure and capabilities of a terrorist network. Employing a computational experimentation methodology, we simulate a terrorist network and test the effects of each strategy on the resiliency of that network. In addition, we test scenarios in which the terrorist network has (or does not have) information about an impending attack. Our work takes a structural perspective to the challenge of addressing terrorist networks. Specifically, we show how various strategies impact the structure of the network in terms of its resiliency and capacity to carry out future attacks. This paper also provides a valuable overview of how to use agent-based modeling for the study of complex problems in the terrorism, conflict studies, and security study domains.