The paper analyses how the bettering in the living standard affects Chinese households' decision-making process regarding tourism. The first novelty of this study relays on the role that living standard, proxy by happiness, Internet use and social connection spending, has on the tourism participation and how it impacts tourism expenditures. We estimate hurdle models and calculate income elasticity with respect to living condition; this is the second main novelty of this study. Empirical results show that living standard is associated with likelihood of participating in tourism and is an essential determinant for tourism consumption behaviour. Some recommendations are finally proposed.
Tourist decision studies focus on modeling decision-making behaviors, conceptualizing phases in decision making, and influential factors. Incorporating behavioral and choice-set model strategies, the current study proposes a generalizable cyclic model of tourist decision-making processes with a structure of repeatable behavioral stages integrated with relevant consideration sets. A “decision-making threshold” and “information loop limit” are introduced to control how and when the decision-making process starts or ends. The proposed model makes it possible to represent different decision-making styles by capturing the dynamic repetition of behavioral stages and the revision of consideration sets. The integration allows a novel approach for analyzing the formation of final decisions resulting from decision makers’ limited subjective evaluations and for studying decision rules as the combinations of “evaluation rule” and “information loop limit.” Practical implications and measures are provided for tourism practitioners to better understand and influence potential consumers. Future research questions are also suggested.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.