Author(s)

Juan Xu, Li Cheng

Corresponding Author

Li Cheng

Abstract

This study uses variables such as residents' perception of tourism sharing economy, sharing politics, sharing culture, sharing environment, support for tourism and collaborative tourism planning to analyze their support for Intercity railway in Si Guniang Mountain town, Sichuan Province, China. Multiple regression analysis (MRA) and fsQCA (fuzzy set qualitative comparative analysis) methods were used to explore the role of the antecedent variables in hosts’ support of intercity railway. The analysis based on MRA shows that tourism support, sharing economy, sharing environment positively relate to the support of intercity railway. Three sufficient configurations in the fsQCA consistently lead to the support: high tourism support with high sharing environment and low sharing politics and high sharing culture, high tourism support and high sharing environment combined with low sharing economy and low sharing politics or high sharing economy and high sharing politics. However, political sharing and economic sharing showed opposite directions in the two combinations, indicating that these two variables have a positive or negative impact on the residents’ support of intercity railway, depending on the other antecedent variables in the causal configuration. Furthermore, fsQCA has been shown to be more explanatory than multiple regression analysis in this research.

Keywords

Support for intercity railway; sharing tourism; support for tourism