Intangible cultural heritage (ICH) has recently become an important area of tourism development for many countries that are home to such cultural resources. Within this context, the value of an ICH site has often been used to guide tourism development and policy making. In addition, community residents’ attitude and perception of ICH contribute to tourism development. In this study, we used the traditional firing technology of Longquan celadon in Zhejiang Province, China, as a case study to understand the relationships between value recognition and attitude along with the intention to visit the heritage site. We surveyed 368 residents and conducted path analysis to test such relationships. Findings revealed significant positive correlations between residents’ cognition of ICH value, their attitudes and travel intentions. Among them, attitudes played a mediating role in the formation of value cognition to travel intention. These findings offer insights into ICH-related tourism development, particularly regarding tourism product design, marketing and post-development evaluation, as well as the conservation of ICH sites.

Although tourist destinations’ local food is increasingly popular with tourists, the problem of how food’s perceived value affects tourists’ loyalty still exists. Based on an investigation of 497 tourists in Guangzhou, China, this study explores the relationships among food’s perceived value, well-being, and tourists’ loyalty. Results show that emotional value, functional value, and social value indirectly affect tourists’ loyalty through the mediating effects of two dimensions of well-being (hedonic and eudaimonic). This paper offers fresh insight on the role of local food and provides suggestions for destination stakeholders on how to use local food to enhance tourists’ loyalty.

Rapid urbanization and increasing urban density in China threaten residents' mental health. As a vital component of built environments, green space plays a key role in individuals' psychological well-being; however, the mediating effect of residents' satisfaction with the green space environment on the relationship between urban greening and residents' mental health in Chinese contexts has yet to be thoroughly explored. To fill this knowledge gap, this paper attempts to reveal the internal logic and mechanism underlying the linkages between green space, residents' mental health, and their satisfaction with green space in Shenzhen, China. Specifically, this paper explores the mediating role of residents' satisfaction with a green space environment using questionnaire survey data, “Quick Bird-2” high-resolution remote sensing image data, and a multilevel regression model. Our empirical findings indicate that the relative range of neighboring green spaces can directly improve residents' mental health. More importantly, the relationship between the relative scope of green space and residents' mental health is mediated by residents' satisfaction with the green space environment rather than its direct health effects. Given the influence of green space on residents' satisfaction with the environment, green space indirectly affects mental health. These findings should provide the government useful guidance for considering the spatial distribution and quantity of green space. Our results should also help residents improve their actual experiences and subjective satisfaction with the green space environment.

The infectious pneumonia caused by the 2019 novel coronavirus (COVID-19) has spread rapidly worldwide, crippling the global tourism industry’s development and operations. In Hong Kong, where tourism is a pillar industry, the hotel industry is essential to maintaining a stable economy. Facing multiple forms of pressure, the industry’s status deserves close attention. More than 200 hotels in Hong Kong were taken as the research set in this study. A Python-based web crawler was used to collect daily hotel prices from various online travel agencies. Repeated-measures analysis of variance (ANOVA), correlation analysis, and descriptive analysis were employed to study hotels’ room rate fluctuations over time. Results indicated that room rates across hotels in Hong Kong were primarily influenced by holidays and festivities prior to COVID-19, whereas rates tended to decline after the outbreak. Data analysis based on hotels’ star ratings revealed that 5-star hotels were relatively less affected by COVID-19 while 4- and 4.5-star hotels were most seriously affected. District-level analysis also showed that hotel room rates were differentially influenced by the virus: Hong Kong’s Islands district was hit hardest, followed by Kowloon. These findings offer valuable implications for hotel managers and relevant government departments in making rational decisions based on the current market state.