Abstract
ABSTRACT The main goal of this study is to look at the relationship between tourism and housing prices (HPs) in three important Chinese cities: Beijing, Shanghai and Guangzhou. We use a unique statistical approach called quantile-on-quantile (QQ) to examine this connection. The findings of the study show a favorable relationship between tourism and HPs in these megacities, with notable variances reported across different quantiles within the cities. For each metropolitan center, these findings have substantial policy ramifications. In a number of important ways, our research adds to the body of information in the existing literature. First, this paper illuminates the fascinating dynamics of China’s tourism sector. Second, it is the first inquiry to look at how tourism-related activities and HPs are related using the QQ approach. To give a novel perspective to the investigation, this paper uses the QQ technique to ascertain how actual international tourism receipts and HPs are related.
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