Modeling a Causality Network for Tourism: An Empirical Analysis
The purpose of this paper is to capture the causal relationships between the primary constituents of the tourism destination paradigm – namely, the economy, society, and the natural and infrastructural environments – and demand for tourism at that destination. The study uses structural equation modeling (SEM) methodologies with a cross-sectional data sample from 162 countries, to evaluate a priori proposed measurement and structural models. The results indicate that although the economy construct was found to have no direct influence on tourism, it does have a mediating, positive impact on tourism through the society and environment constructs, with the society construct paralleling the condition of the infrastructure. Moreover, society and environment were found to have a direct, positive impact on generating tourism activities, and revenues. Link to the article
ASSAKER, G., ESPOSITO VINZI, V. and O'CONNOR, P. (2011). Modeling a Causality Network for Tourism: An Empirical Analysis. Journal of Modelling in Management, 6(3), pp. 258-278.
Keywords : #Covariance, #based-structural-equation-modeling, #Reflective-indicators, #Formative-indicators, #Tourism-development, #Tourism, #Forecasting