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on Tourism Economics |
| By: | Laura Rouch; Emmanuelle George |
| Abstract: | In the context of adapting to global changes, the diversification of the tourist offer seems to be a solution for the mid-mountain areas, which are structured around and dependent on ski tourism. However, it remains unclear how tourism diversification occurs, what forms it can take and what it produces at a territorial scale. In this study, we apply a theory of regional diversification to the case of tourism in order to examine tourism diversification paths. We base our analysis on qualitative data collected on two French study areas: the intercommunities of the massif du Sancy and of the Haut-Chablais. Our results show a pattern in tourism diversification paths, following three steps that can lead to the abandonment of the perimeter of the ski resort. However, among the different types of tourism diversification trajectories, only a saltation form of tourism diversification can lead to the establishment of a larger and more diversified tourism system. Our findings also show that several types of tourism diversification paths can coexist at a territorial scale. |
| Date: | 2025–04 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2504.16492 |
| By: | Peng, Xue |
| Abstract: | Anecdotal evidence from multiple cities suggests that short videos boostdestination awareness and subsequently, tourism visitation. TikTok has nowbecome one of the most popular short video platforms and accordingly, hasattracted intensive attention from the tourism industry and scholars querying theimplications. While previous tourism studies have primarily concentrated on theplatform's viewers and user-generated content, studies focused on travel vloggersare scarce, and their roles in tourism development remain understudied. This studyutilizes big data from TikTok in China and employs spatial analysis to investigatethe distribution characteristics and impacts of travel vloggers in regional tourismdevelopment. The spatial analysis methods utilized include Moran's I index andGeodetector. The Moran's I analysis results indicate that cities with a similarnumber of travel vloggers tend to be clustered; however, this tendency is higherwith regard to non-travel-themed vloggers. The Geodetector results reveal thattravel vloggers significantly influence provincial tourist arrivals, demonstratinglarger impacts than conventional variables such as scenic areas, travel agencies, and transport infrastructure. The most crucial factor contributing to the impact oftravel vloggers is their number. This is followed by their productivity in terms ofthe number of videos they upload, which wields a larger impact than the shares orlikes they receive. Within the productivity metric, the cumulative productivity oftravel vloggers from previous years exerts a higher influence than their recentproductivity from the past year. Interestingly, the number of their followers doesnot necessarily impact regional tourist arrivals. These insights can assistpolicymakers and practitioners in leveraging vloggers for regional tourismdevelopment. |
| Keywords: | travel vloggers, TikTok, regional tourism development, big data, spatial analysis methods, Geodetector, Moran's I index |
| Date: | 2024–05 |
| URL: | https://d.repec.org/n?u=RePEc:agi:wpaper:02000103 |
| By: | , Ashokkumar Palaniyandi (PSG COLLEGE OF ARTS & SCIENCE); P, Sangeetha C |
| Abstract: | This study examines the impact of technology integration and systematic visitor feedback on improving tea tourism outcomes. Drawing on survey responses from 106 tea tourism stakeholders, we developed a composite measure of Tea Tourism Improvement (encompassing operational efficiency, service quality, and visitor satisfaction) and assessed its relationship with two key constructs: positive digital practices (e.g., enhanced online marketing, streamlined booking systems, and effective feedback utilization) and perceived barriers (e.g., limited internet access and the absence of a formal feedback process). An Exploratory Factor Analysis (EFA) validated a two-factor structure with a high sampling adequacy (KMO = 0.893) and significant Bartlett’s Test (p < 0.001), while the two factors collectively explained over 89% of the variance in tea tourism improvement. Subsequently, multiple regression analysis demonstrated that positive digital practices (Factor 1) have a strong positive influence (β = 0.929, p < 0.001) on tourism improvement, whereas the barrier construct (Factor 2) is significantly negatively related (β = –0.171, p < 0.001) to the same outcome. Residual diagnostics confirmed that the model assumptions of normality and homoscedasticity were adequately met. The results underscore the critical role of digital transformation and structured feedback in enhancing tea tourism, while also highlighting the importance of addressing infrastructural and procedural barriers. Limitations include the cross-sectional design and reliance on self-reported measures. Future research should consider longitudinal approaches and incorporate objective performance metrics. |
| Date: | 2025–05–02 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:xq9dz_v1 |