Pesticides,Preference Heterogeneity and Environmental Taxes

In this paper we present results from two choice experiments (CE), designed to take account of the different negative externalities associated with pesticide use in agricultural production. For cereal production, the most probable impact of pesticide use is a reduction in environmental quality. For fruit and vegetable production, the negative externality is on consumer health. Using latent class models we find evidence of the presence of preference heterogeneity in addition to reasonably high willingness to pay (WTP) estimates for a reduction in the use of pesticides for both environmental quality and consumer health. To place our WTP estimates in a policy context we convert them into an equivalent pesticide tax by type of externality. Our tax estimates suggest that pesticide taxes based on the primary externality resulting from a particular mode of agricultural production are a credible policy option that warrants further consideration.     

The Balassa–Samuelson Hypothesis in the Asia‐Pacific Region Revisited*

In a study of nine Asia‐Pacific countries' real exchange rates, Chinn (2000) finds some evidence in support of the Balassa (1964) and Samuelson (1964) hypothesis. His findings, however, are based on the application of a model containing several potentially restrictive simplifying assumptions to a dataset of limited span. Consequently, we look to assess the effect on Chinn's findings of considerably increasing the sample size and relaxing these assumptions. We find a comparable level of evidence for the Balassa–Samuelson hypothesis when applying Chinn's model to the larger sample, but obtain significantly greater support when a less restrictive approach is adopted.     

Why Dwell in a Hutongtel? Tourist Accommodation Preferences and Guest Segmentation for Beijing Hutongtels

Hutongtels are unique accommodations within traditional courtyards and surrounded by old Beijing‐style lifestyles. They have been recognized as significant landmarks and attract substantial numbers of foreign and domestic guests despite simple facilities and services. This research aimed not only to create a greater understanding of hutongtels as a signature tourism product of Beijing but also to identify preferences contributing to hutongtel choice and sub‐groupings of guests. Eight preference factors were extracted via factor analysis, and four segments of hutongtel guests were found through cluster analysis. The results should facilitate future hutongtel development planning and tourism product design by local communities. Copyright © 2013 John Wiley & Sons, Ltd.     

Technology Adoption and Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models

This paper examines the intensity of technology adoption and integrated pest management strategies employed by UK farmers, using both parametric and nonparametric methods. We employ a unique survey dataset collected from UK cereal farmers to assess the determinants of technology adoption in relation to pest management. Our preferred model specification is nonparametric, with models estimated yielding broadly similar results, with some important qualitative differences. All models indicate that total area farmed is positively related to the number of technologies adopted, whereas the number of years of experience of the farmer is negatively related. We also find evidence with our nonparametric specification of significant statistical differences for number of adoptions by region across the UK.     

Activity Segmentation of the International Heritage Tourism Market to Taiwan

The heritage tourism market has developed from being regarded as a small niche segment to a mainstream market of considerable size. In Taiwan, diversified heritage resources hold considerable appeal to the international tourism market. Little research has been completed on international heritage tourists to Taiwan, so this study utilized Taiwan as a case study and examined international tourists to the destination. It first employed cluster analysis based on activity participation to segment the market and test for the existence of “heritage tourists”. Three groups of international tourists to Taiwan were identified and they were labelled as “heritage”, “shopping” and “non-specialists”. The heritage group had a high participation rate in visiting heritage relics (90.6%). The study also profiled tourists according to the reasons they travelled to Taiwan and socio-demographic variables. The heritage tourists and other activity participation groups were compared to reveal the major motivational and socio-demographic differences involved. The findings showed that “international heritage tourists to Taiwan” were a group of visitors with relatively younger ages, middle levels of income and higher educational levels. The study defined heritage tourists who indicated visiting heritage sites as part of their reason for visiting Taiwan as “motivated heritage visitors”. Other heritage tourists who participated in heritage activities, but did not list heritage tourism as a reason for visiting Taiwan, were defined as “heritage site visitors”. Finally, the study profiled the two groups of heritage tourists and compared them, with significant differences being found in ages and nationalities.