Outlying Islands as a Tourist Destination for Local Residents: The Case of Cheung Chau in Hong Kong

Cheung Chau is an outlying island in Hong Kong, which is relatively untouched by the region's rapid economic development. The island provides a dramatic contrast to the cosmopolitan city center, one of the most popular travel destinations in Asia and a major business hub. This makes Cheung Chau a special attraction for local residents seeking to get away from their routine lives. However, no published studies have examined the opinions of residents on sustainable tourism development on Hong Kong's outlying islands and the motivating factors that drive residents to visit those islands. Hence, an exploratory qualitative study was undertaken to develop an understanding of the public's motivation for visiting Cheung Chau. The results of in-depth interviews with 15 residents who had visited the island are presented, along with an examination of the future direction of tourism development in Cheung Chau.     

Positive and Negative Word of Mouth about Restaurants: Exploring the Asymmetric Impact of the Performance of Attributes

This study examines the relationship between attribute performance of a restaurant and customers' positive and negative word of mouth (WOM). We present an analysis of 168,262 customer reviews, which consist of an overall rating of a dining experience, ratings of food, physical environment and employee service, and real expenditure for a meal, totally covering 1,542 Chinese restaurants on a restaurant guide website. The results indicate that the performance of attributes has an asymmetric impact on positive and negative WOM for the restaurant industry as well as for low-end and mid-to-high-end restaurants. Our results also show that, in most cases, there is a combined effect of two attributes on both positive and negative WOM.     

Examining destination images from travel blogs: a big data analytical approach using latent Dirichlet allocation

ABSTRACT

In the big data era, destination images have played an increasingly important role in tourism development. However, seldom tourism research has utilised big data analytics to examine destination images from travel blogs. Therefore, this study proposes and evaluates a big data analytical approach using latent Dirichlet allocation to extract attributes of online destination images from 140,286 travel blogs about 20 cities in China. Results reveal 14 dimensions with 54 attributes of destination images of the studied cities. Interesting findings are discovered between online destination images and tourism cities. This study also summarises the implications for tourism research and practice.     

Using Principal‐Agent Theory to Deal with Output Slippage in the European Union Set‐Aside Policy

This paper proposes modifications to the existing EU set‐aside policy which are designed to alleviate the problem of output slippage associated with heterogeneous land quality by using “incentive‐compatible” mechanisms drawn from principal‐agent theory. Specifically, it is suggested that there should be differential reference yields based on land quality to discourage the “adverse selection” of lower quality land for set‐aside, and that the scope of set‐aside monitoring should be expanded to include both the quantity and the quality of land set‐aside so as to discourage “moral hazard” problems. The potential of these modifications is illustrated using a numerical analysis, which is also used to evaluate the role of a range of factors which determine the set‐aside decision. Finally, an estimate of the “benefits” from reducing slippage required to justify the costs of including these modifications is provided.     

Explaining The <Emphasis Type="Italic">Hump</Emphasis> In Life Cycle Consumption profiles

Summary  This paper documents life cycle (or age) profiles of (log) household income, durable and non-durable consumption for Dutch households after explicitly controlling for time (or business cycle) effects and birth cohort effects. We find that both measures of consumption as well as income is clearly hump shaped over the life cycle. Hence, real consumption per household seems to track income over the life cycle. This empirical regularity is hard to reconcile with basic specifications of the life cycle model. We further document life cycle profiles of demographic and labor supply variables. We argue that part, but not all, of the hump in consumption may be explained by household composition variables. Durable consumption per adult equivalent stays approximately flat until age 60 after which it drops dramatically. This phenomenon may be partly explained by a decrease in work related durable expenditures after retirement. Non-durable consumption per equivalent adult increases steadily until age 55 and stays approximately flat after that.      

Lifestyle segmentation and museum/gallery visiting behaviour

A number of variables have been used in the quest to understand better who visits museums and art galleries. This paper proposes the use of lifestyle segmentation in an attempt to understand how museum and art gallery visits fit in with other aspects of the visitors' life. Research to date has tended to focus on those who actually visit, but little has been done to enhance an understanding of non‐visitors. Lifestyle studies, undertaken across a representative sample of a population, offer the potential to understand not only those who visit, but also those who do not. Seven segments result from this lifestyle analysis of New Zealanders, with a significant relationship evident between lifestyle grouping and frequency of visits to museums and art galleries. As each of these lifestyle segments also demonstrates significantly different media characteristics, there are important implications for the placement and tone of promotional messages. Copyright © 2001 Henry Stewart Publications