Search Results (2)

Sustainable tourism is increasingly threatened by compound climate extremes, but how these hazards propagate through destination networks is poorly understood. This study quantifies the direct and cross-boundary spillover effects of compound climate extremes on tourism demand in Sichuan Province, China, by integrating 75 years of high-resolution ERA5 reanalysis data with an 11-year municipal panel dataset (2014–2024, N = 21). Employing a gravity center migration model and a two-way fixed-effects spatial econometric model, we find that prolonged droughts impose a significant direct local damage on tourism, while wet-hot compound events generate a substantial positive spatial spillover, indicating that tourists spatially substitute toward cooler neighboring destinations rather than cancelling travel. By contrast, drought and dry-hot events produce negative spillovers consistent with regional brand contagion. These contrasting propagation mechanisms (spatial substitution versus contagion) depend fundamentally on event type and are invisible to conventional non-spatial models. Our findings directly inform global sustainable development objectives related to climate action and economic growth, offering an evidence base for spatially coordinated, event-specific climate adaptation strategies in mountain tourism networks facing accelerating climate risks. Full article

In recent years, the rapid development of tourism in China’s arid areas has led to a continuous increase in water consumption, heightening the tension between water supply and demand in the region. For this reason, drought-type tourist destinations require a method for estimating the tourism water demand and analyzing the sustainable state of water resources. Existing studies focus on the impact of tourism development on the water resources and environment of tourist destinations. However, few scholars have paid attention to whether tourism development is decoupled from the tourism water footprint. Using an analysis of the tourism water footprint based on the TWF-LCA model and Tapio decoupling theory, this study investigates the relationship between the tourism water footprint and tourism economic growth in Xinjiang from 2003 to 2021. The results show that from 2003 to 2021, the water consumption footprint of the tourism industry in Xinjiang was generally on the rise, and the virtual water consumption of tourists was 3.5 times that of direct water consumption. S-WF is the largest contributor to the total TWF, accounting for 46.13% on average, followed by C-WF, V-WF, Tr-WF, and finally, A-WF, which has the smallest share (less than 5%). The decoupling model shows that, in most years, the tourism water consumption and economy have been in a weak decoupling state, and the growth rate of the tourism water footprint is smaller than the growth rate of the tourism economy. However, in 2007 and 2016, the two were in an expansionary negative decoupling state, that is, the growth rate of the tourism water footprint was greater than the growth rate of the tourism economy. In 2008 and 2019, they were in a weak negative decoupling state, that is, the decline rate of the tourism water footprint was less than the tourism economic recession rate. In 2013, the growth rate of the tourism economy and tourism water footprint declined. Our analysis enriches the literature on tourists’ WF and the impact of tourism activities on water resources, providing a reference for estimating the WF of drought-type tourism and analyzing the sustainability of tourism water resources. Full article