Aziz Ullah , He Biao , Mahfuzur Rahman , Assad Ullah
{"title":"From fear to recovery: Investor sentiment, macroeconomic shocks, and tourism stock volatility in China","authors":"Aziz Ullah , He Biao , Mahfuzur Rahman , Assad Ullah","doi":"10.1016/j.annale.2025.100197","DOIUrl":"10.1016/j.annale.2025.100197","url":null,"abstract":"<div><div>This research investigates the impact of investor sentiment and macroeconomic shocks on the volatility of China's tourism stocks during the COVID-19 recovery period, specifically from March 2020 to December 2022. By analyzing daily data from 20 publicly listed tourism companies using GARCH family models, the study distinguishes between a Crisis Phase (from March 2020 to February 2022) and a Recovery Phase (from March to December 2022). The findings indicate that during the Crisis Phase, investor sentiment and anxiety related to the pandemic heightened volatility, resulting in a 6.2 % contraction in tourism GDP. After March 2022, the impact of pandemic-related fears began to diminish. The analysis also reveals bidirectional volatility spillovers among different tourism subsectors, indicating that market sentiment plays a significant role in contributing to this volatility. The study highlights the importance of investor education and institutional reforms in mitigating herd behavior and stabilizing a key sector of China's economy.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100197"},"PeriodicalIF":4.1,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145568270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wahyu Wisnu Wardana , Tri Haryanto , Iqram Ramadhan Jamil , Nor Asmat Ismail , Unggul Heriqbaldi , Ebou Correa , Wiwit Nur Rohmah , Shochrul Rohmatul Ajija
{"title":"Does improved accessibility translate into tourism growth? A difference-in-differences analysis of bridge infrastructure in Indonesia","authors":"Wahyu Wisnu Wardana , Tri Haryanto , Iqram Ramadhan Jamil , Nor Asmat Ismail , Unggul Heriqbaldi , Ebou Correa , Wiwit Nur Rohmah , Shochrul Rohmatul Ajija","doi":"10.1016/j.annale.2025.100189","DOIUrl":"10.1016/j.annale.2025.100189","url":null,"abstract":"<div><div>Tourism growth relies heavily on transport infrastructure. In regions with unique geography, enhanced accessibility can significantly boost tourism. This study examines the impact of the Suramadu Bridge on tourism on Madura Island, Indonesia, using a difference-in-difference (DiD) approach. Unlike prior research focusing on rail transport, this study highlights the overlooked role of bridges in regional tourism. Findings reveal that, unexpectedly, the bridge did not significantly boost tourism, aligning with Leiper's open system framework. Despite the enhanced accessibility, internal barriers to tourism remain. The study highlights the need for integrated planning, multi-stakeholder strategies, and complementary policies to maximize infrastructure benefits. It also emphasizes the importance of viability studies to guide future projects.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100189"},"PeriodicalIF":4.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Made Handijaya Dewantara , Xin Jin (Cathy) , Sarah Gardiner
{"title":"A framework for analysing the individual capital of travel vloggers","authors":"Made Handijaya Dewantara , Xin Jin (Cathy) , Sarah Gardiner","doi":"10.1016/j.annale.2025.100195","DOIUrl":"10.1016/j.annale.2025.100195","url":null,"abstract":"<div><div>This study employs an individual capital theoretical framework to analyse travel vlogs and identify ways to maximise vlog performance success. The first phase analyses the social media content of ten vlogs and their viewer comments (<em>n</em> = 816). This was followed by a second phase comprising in-depth interviews with ten viewers and ten destination marketers to validate and re-evaluate the initial findings. Thematic analysis of the vlogs reveals six attributes of individual capital. This study extends the theory of individual capital within the context of destination marketing and travel vlogging by detailing each attribute and identifying a new one.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100195"},"PeriodicalIF":4.1,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145117722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Last chance tourism? Revealing true tourist motivations for visiting northernmost Alaska","authors":"Daniel Grafton , Amy Quandt , Vena Chu","doi":"10.1016/j.annale.2025.100183","DOIUrl":"10.1016/j.annale.2025.100183","url":null,"abstract":"<div><div>A prevailing narrative about last chance tourism, in which tourists visit threatened destinations, has made headlines in recent years as global climate change impacts became increasingly visible with landscapes and species facing the threat of disappearing. Tourist experiences in the Arctic and community views of climate change adaptation are underexamined in the existing literature. We interrogated the narrative of last chance tourism through archival research and qualitative content analysis of interviews from Utqiaġvik, Alaska to uncover tourist motivations and residents' perceptions of tourists themselves. Results found two key findings: (1) last chance tourism played little role in motivating tourists; and (2) residents' perceptions of visitor motivations were notably different from tourists' own professed motivations.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100183"},"PeriodicalIF":4.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maurício Ragagnin Pimentel , Melise de Lima Pereira
{"title":"What drives local-level tourism in Brazil? Insights from panel regression models","authors":"Maurício Ragagnin Pimentel , Melise de Lima Pereira","doi":"10.1016/j.annale.2025.100200","DOIUrl":"10.1016/j.annale.2025.100200","url":null,"abstract":"<div><div>Due to the increasing global tourism, developing countries are recognizing the value of tourism for local economic growth. This study investigates Brazil's local tourism performance using six panel regression models on a dataset covering 1711 municipalities spanning the period from 2007 to 2019. The study formulates twelve hypotheses to test how economic growth, agglomeration, accommodation specialization, government investment, and the entrepreneurial environment influence local-level tourism in Brazil. Specialization emerges as the only significantly supported driver of Brazil's uneven local tourism development. Furthermore, the study highlights that municipal public spending has a negligible impact on tourism, raising concerns about its effectiveness. This research contributes by providing a subnational perspective on tourism growth in a predominantly domestically driven market.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100200"},"PeriodicalIF":4.1,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The legacy DNA of associations and their conferences","authors":"Andreas H. Zins","doi":"10.1016/j.annale.2025.100190","DOIUrl":"10.1016/j.annale.2025.100190","url":null,"abstract":"<div><div>This study examines how international associations create lasting impacts through their conferences. By analyzing mission statements and conference descriptions, it identifies legacy-driven strategies. Using Latent Dirichlet Allocation, the study uncovers key themes and their alignment with associations' missions. Findings show that international associations actively integrate legacy-building into their conference strategies, shaping knowledge dissemination, stakeholder engagement, and long-term societal contributions. Associations collaborate with event organizers, local partners, and stakeholders to extend impacts beyond knowledge exchange, fostering innovation and cross-sector collaboration. This study focuses on association-driven legacy strategies rather than destination marketing or infrastructure legacies. While associations may contribute to tourism and economic outcomes, the primary emphasis is on how they conceptualize and implement legacy-building initiatives within their events.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100190"},"PeriodicalIF":4.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Concepción Foronda-Robles , Luis Galindo-Pérez-de-Azpillaga , Pablo Armario-Pérez
{"title":"The sustainable management of overtourism via user content","authors":"Concepción Foronda-Robles , Luis Galindo-Pérez-de-Azpillaga , Pablo Armario-Pérez","doi":"10.1016/j.annale.2025.100184","DOIUrl":"10.1016/j.annale.2025.100184","url":null,"abstract":"<div><div>This research evaluates impacts of overtourism in Granada, Spain, by analysing 1349 negative comments from TripAdvisor for 71 tourist attractions. Employing a mixed-methods approach, the study uses sentiment analysis via the BERT model, multivariate analysis (PCA and K-means clustering) and social network analysis. Key findings reveal issues of congestion, high costs and environmental degradation, identifying user satisfaction and spatial significance as critical dimensions. The study highlights a strong positive correlation between AI-driven sentiment and user opinions. Practical implications underscore the need for sustainable management strategies—including destination diversification, improved transport networks and access control—to mitigate highly touristified environments, preserve visitor experience and protect local heritage, thereby promoting sustainable tourism. Online reviews are deemed valuable for proactively addressing tourist concerns.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100184"},"PeriodicalIF":4.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From host's descriptions to guests' reviews: Semantic similarities","authors":"Mariana Cavique , Ricardo Ribeiro , Fernando Batista , Antónia Correia","doi":"10.1016/j.annale.2025.100187","DOIUrl":"10.1016/j.annale.2025.100187","url":null,"abstract":"<div><div>This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of the two text types. A new metric, concept coverage ratio, is introduced to measure the extent to which the guest review content is reflected in property descriptions. Results show that a higher concept coverage ratio is generally associated with more positive sentiment in reviews, suggesting that better alignment between host and guest perspectives contributes to guest satisfaction. However, longer and detailed descriptions may limit the potential for pleasantly surprising guests, as it reduces the chance for positive disconfirmation. These findings offer practical insights for improving communication in peer-to-peer accommodation.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 2","pages":"Article 100187"},"PeriodicalIF":4.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanh Thi My Le , Thuy-An Phan-Thi , Binh T. Nguyen , Thang Quyet Nguyen
{"title":"Mining online hotel reviews using big data and machine learning: An empirical study from an emerging country","authors":"Hanh Thi My Le , Thuy-An Phan-Thi , Binh T. Nguyen , Thang Quyet Nguyen","doi":"10.1016/j.annale.2025.100170","DOIUrl":"10.1016/j.annale.2025.100170","url":null,"abstract":"<div><div>This paper presents a framework for collecting large datasets of hotel reviews (e.g., from <span><span>Booking.com</span><svg><path></path></svg></span> and TripAdvisor) and performing useful analytics from the data collected. This approach automates data collection, reduces manual effort, enhances data cleaning, and standardizes data processing. We compiled extensive datasets of 607,451 reviews from <span><span>Booking.com</span><svg><path></path></svg></span> and 782,584 from TripAdvisor, representing the most extensive emerging market-specific hotel review datasets. We conducted statistical analysis to evaluate the review distribution and customer satisfaction levels. Sentiment analysis assessed the polarity and subjectivity of English reviews and their impact on customers' overall satisfaction. Additionally, we used topic modeling with Latent Dirichlet Allocation (LDA) to identify key themes within the reviews to understand customers' real needs, providing helpful insights for hotel management.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 1","pages":"Article 100170"},"PeriodicalIF":4.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial patterns and geographic characteristics of tourism-accommodation intensity hotspots in Kyoto city","authors":"Haruka Kato","doi":"10.1016/j.annale.2025.100178","DOIUrl":"10.1016/j.annale.2025.100178","url":null,"abstract":"<div><div>The tourism intensity index can be used to determine the risk of overtourism. This study aimed to clarify the spatial patterns and geographic characteristics of tourism-accommodation hotspots in Kyoto City. This study calculated the tourism-accommodation intensity index as the ratio of the number of accommodation rooms to that of households. The results revealed that tourism-accommodation intensity hotspots emerged in neighborhoods near the periphery of the southeastern historical center. The hotspots emerged in neighborhoods where the number of rooms has exceeded that of households. Additionally, this study revealed that tourism-accommodation intensity hotspots were spatially associated with proximity to main stations and world heritage sites. This study's findings are useful for developing effective urban zones with total volume control in these neighborhood-units.</div></div>","PeriodicalId":34520,"journal":{"name":"Annals of Tourism Research Empirical Insights","volume":"6 1","pages":"Article 100178"},"PeriodicalIF":4.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}