Probit Model Analysis of Tourists’ Revisit Intention to Nepal

Abstract

This study discusses on the identification of the tourists’ destination satisfaction attributes and the influence of these factors on their revisit intention to Nepal. This study used the survey methodology for data collection and involved the distribution of self-administered questionnaires to a sample of tourists. An exploratory factor analysis, with principal component analysis and varimax rotation, was used to extract significant factors related to satisfaction with destination features. Using maximum likelihood method, a probit model was analyzed to test the impact of tourists’ satisfaction with their revisit intention. The probit model predicts 93.5% of the cases correctly. The tourists were considered to be budget travellers as 92% of them spent less than $40 per person per day during their visit. The result also shows that satisfaction with destination characteristics such as historic and religious places, experiencing different lifestyle, trekking & mountaineering, adventure sports, and tourist guide service, are realized to significantly influence the probability of revisit intention of budget travellers to Nepal.