Demographic analysis of residents’ support for tourism development in the UAE: A Bayesian structural equation modeling multigroup approach

Abstract

This study examines how the demographic profiles of residents (gender, level of education, nationality, length of residency, and age) moderate the relationship between residents’ perceptions of the impact of tourism and their support for tourism development. The aim of the study was to gain knowledge on the understudied emerging countries, the underexplored geographical area of Middle East and North Africa, and most specifically on the UAE which is the most competitive destination among them. This study is the first to use the novel Bayesian SEM multigroup approach to overcome the major issue of the non-normal distributions of data. The data are derived from 631 residents of Abu Dhabi and Dubai. The results indicate that residents’ perceptions influence residents’ support for tourism development. Additionally, the multigroup analysis reveals that gender, education, and nationality influence the perceptions of residents while length of residency and age do not have a significant effect.