HYBRID LOG-LINEAR MODELS FOR SPATIAL INTERACTION AND STABILITY ANALYSIS(*)

This paper discusses the relevance of hybrid log-linear models for applied research based on categorial data. Such models may lead to statistically significant results based on a reduced number of parameters. The use of long-linear modeling is illustrated by means of spatial interaction analysis with categorial data. Special attention is given to the problem of so-called structural zeros and of stability of spatial interaction patterns. Various constraints on the set of interaction parameters emerging from the off-diagonal elements of a spatial interaction matrix are taken into account by means of an entropy function. The analysis is illustrated by means of an empirical application to migration flows in Dutch housing market areas.     

Policies to increase business tourism income: A dynamic panel data model

This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.     

Utilizing environmental information and pricing strategies to reduce externalities of tourism: the case of invasive species in the Galapagos

The increase in demand for nature-based tourism brings economic and educational benefits but risks the introduction of invasive species. Increasing the length of tourist trips can better balance these benefits and risks by maintaining revenues while reducing the number of unique contacts with tourists. Changing the relative prices of trips can induce tourists to take longer trips. We hypothesized that providing information about the negative externalities of tourism could improve the effectiveness of such pricing strategies.

We administered one of two discrete choice surveys to tourists considering a trip to the Galapagos. One of the surveys described the Galapagos as a fragile ecosystem susceptible to invasive species; the second described it as a standard nature-based destination. For each sample, we estimated the probability of the tourist choosing a short versus long trip, given the tourist's personal information and trip options presented to him. We then simulated the demand for trips using three pricing strategies. We found that providing information on invasive species significantly increased the efficacy of strategic pricing. We propose using a two-prong approach to tourism management: educate potential tourists about the islands’ vulnerabilities, and simultaneously increase the per-day cost of short trips relative to that of longer trips.