Extending a tourism causality network model: a cross-country, multigroup empirical analysis
Date
2011
Authors
Assaker, G.
Vinzi, V.E.
O'Connor, P.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Tourism and Hospitality Research, 2011; 11(4):258-277
Statement of Responsibility
Conference Name
Abstract
This study provides insights into a powerful statistical technique to test model invariance across multiple groups. In doing so, it provides insights for policymakers and contributes to the literature on tourism demand forecasting by validating and extending previous results on how supply-side factors influence tourism demand. Specifically, this study considered an a priori validated structural model for relationships among the economy, society, environment and tourism constructs in 162 countries, examining the extent to which the model was invariant across two groups of isolated observations: developed and less-developed countries. Upon testing, the a priori model did not replicate across both groups. Instead a reduced model, incorporating the society, environment and tourism constructs only was used to compare and test for variances in parameters across the two groups using multigroup analysis sampling in AMOS 16.0. The results indicated that path coefficients were equal across groups. A positive relationship existed between the society and environment constructs, while a similar positive significant relationship existed between the society and environment constructs from one side and tourism, respectively.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2011 Guy Assaker, Vincenzo Esposito Vinzi and Peter O'Connor