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Modelling and forecasting European Airbnb occupancy during the pandemic: The specific merits of panel-data and Markov-switching models Tourism Economics (IF 3.6) Pub Date : 2024-09-14 Ulrich Gunter, Bozana Zekan, Francesco Luigi Milone
This study models European Airbnb occupancy from January 2017 to December 2020 for 43 European countries within an econometric panel-data framework. Besides typical economic covariates, the COVID-19 Stringency Index is employed to allow for the recent pandemic. The counterfactual observations created by two versions of the econometric model (one with and one without European aggregates of macroeconomic
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Economic impacts of tourism demand on the European food and accommodation industry Tourism Economics (IF 3.6) Pub Date : 2024-09-14 Fikru K. Alemayehu, Subal C. Kumbhakar, Gudbrand Lien
Sustainability strategies have become central topics in the literature on tourism development, given the significant increase in tourism demand in Europe. This study examines the economic (cost) impact of increased tourism demand on the European Food and Accommodation Industry. We employed three distinct models — pooled linear regression, flexible nonparametric, and semiparametric smooth coefficients
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The effectiveness of countermeasure services against declining visitor numbers to ski resorts in nagano, Japan Tourism Economics (IF 3.6) Pub Date : 2024-09-12 Hiroki Komatsu, Yasuo Ohe
The market for ski resorts in Japan has shrunk continuously due to the socioeconomic and demographic conditions that began in the early 1990s, a trend which could occur in other parts of the globe. In response to that decline, ski resorts have implemented various countermeasures. However, no empirical evaluation has fully assessed the effectiveness of these countermeasure services against the longstanding
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Gender differences in the labour market insertion of tourism graduates Tourism Economics (IF 3.6) Pub Date : 2024-09-10 Marta Escalonilla, David Boto-García
This article studies gender differences in labour mobility, employment type, contract type, and sectoral mismatch among tourism graduates in the first 4 years after graduation. We exploit a longitudinal dataset of seven graduation cohorts to ascertain gender differences in their labour market insertion process at the beginning of their careers. We estimate Heckman probit regressions for each outcome
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Gamification and economic behavior: Geospatial insights into mobile exercise app usage in South Korea Tourism Economics (IF 3.6) Pub Date : 2024-09-07 Seongsoo Jang, Jinwon Kim, Changwook Kim
This study investigates how mobile exercise app-enabled gamified benefits (epistemic, personal integrative, and social integrative) independently and interactively influence economic outcomes from a nationwide perspective. Utilizing unique data on physical exercise and shopping activities collected from 7558 South Korean exercise app users over 3 years, we employed aspatial and spatial econometric
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How market structure and market power shape hotel price discrimination – Evidence from big data Tourism Economics (IF 3.6) Pub Date : 2024-09-07 Fengjun Tian, Zhonglie Wang, Yang Yang, Zhenxing Mao
Limited research has addressed market structure and market power in the hospitality context. This study builds on the market structure literature by examining how market structure and power relate to and affect hotel properties’ price discrimination. We collected the published room rates of 583 hotels in Houston, Texas, in 2016 hotels.com . These dyadic price data captured booking windows with varied
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Illegal Airbnb properties and hosts’ professionalism Tourism Economics (IF 3.6) Pub Date : 2024-09-03 David Boto-García
Many destinations require Airbnb hosts to obtain permits to legally operate as accommodation providers. However, a significant portion of hosts rent their properties without legally registering their business activities (i.e., illegal suppliers). This study examines the relationship between the likelihood of operating underground and the degree of professionalism among hosts, measured by the number
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Using big data to measure cultural tourism in Europe Tourism Economics (IF 3.6) Pub Date : 2024-08-29 Karol Jan Borowiecki, Maja U Pedersen, Sara Beth Mitchell
International tourism statistics are notorious for being overly aggregated, lacking in detailed tourist information, not timely, and often provided only on an annual basis. We suggest a unique, complementary data-driven approach relying on big data collected from Tripadvisor. We obtain a systematic, consistent, and reliable approximation for tourism flows, with high precision, frequency, and depth
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A frequent mistake in aggregate tourism demand modeling: The use of a composite price index of competing destinations Tourism Economics (IF 3.6) Pub Date : 2024-08-28 Jaume Rosselló-Nadal, Andreu Sansó-Rosselló
Price is a cornerstone of aggregate tourism modelling, and yet its measurement poses considerable challenges. In this study, we propose a theoretical framework for accurately assessing destination and substitute destination prices, comparing it with empirical methodologies and examining their impact on elasticity estimations. Our findings show that while destination price can be gauged by comparing
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Italian urban tourism predictions using the holiday Climate Index Tourism Economics (IF 3.6) Pub Date : 2024-08-26 Matteo Mazzarano, Giulia Galluccio, Simone Borghesi
The tourism sector is a source of sustenance for local communities, a driver of fiscal revenues and a way to connect local sites to international guests. Its dependence on climate change exposes it to chronic risks such as slowly varying climate patterns. In this paper, we predicted tourism intensity (as the number of beds per square kilometres) according to three Representative Concentration Pathways
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The distributional and spillover impacts of tourism across regions: The case of Indonesia Tourism Economics (IF 3.6) Pub Date : 2024-08-24 Anda Nugroho, George Verikios, Tien Pham, Jen-Je Su
This paper examines in detail the spillover impacts of tourism on regional poverty, income inequality and inter-regional disparities within an integrated framework. Our novel approach integrates regional TSA and household micro-data within a regional computable general equilibrium model. The findings reveal that while the impacts of tourism expansion are positive at the national level, poverty in some
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Beyond rate parity: Examining offer uniqueness and channel credibility in hotel pricing Tourism Economics (IF 3.6) Pub Date : 2024-08-19 Sung W. Lee, Amit Sharma
This study investigated how price and non-price content disparities on online travel agencies (OTA) and hotels’ direct booking websites affect consumers’ hotel booking decisions, focusing on the role of cancellation flexibility and OTA credibility. Price parity across channels can significantly shift consumer preference toward the direct hotel booking website. Conversely, price disparities can prompt
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Is more rural digitization always better for tourism? An innovative multiscale spatial perspective Tourism Economics (IF 3.6) Pub Date : 2024-08-19 Ziang Zhang, Huiying Zhang, Michael S Lin, Wentong Jia
Addressing the global challenge of promoting digital transformation in rural areas and reducing the urban–rural digital divide is crucial. This study explores rural digitization within the framework of tourism literature, an area that has received limited scholarly attention. Utilizing economic geography methodologies, this research examines the multiscale relationship between rural digitization and
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Investment and depreciation tax shield under spatial competition: The case of the Greek hotel sector Tourism Economics (IF 3.6) Pub Date : 2024-08-16 Vasileios Katavelis, Konstantinos Eleftheriou
Studies examining the effects of spatial competition spillovers on hospitality firms’ decision-making process have been steadily gaining traction. Using a sample of 508 Greek hotels and a Spatial Autoregressive Model (SAR), we examine the consequences of a change in tax depreciation provisions on investment. We find that a reduction in depreciation rates has a negative impact on hospitality firms’
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A novel suggestion on how to adequately treat stochastic non-stationary seasonality in tourism export forecasting Tourism Economics (IF 3.6) Pub Date : 2024-08-14 Ulrich Gunter, Egon Smeral
Using a quarterly data sample of 28 EU countries ranging from 2004Q1 to 2016Q4, real tourism exports are modeled and estimated as a function of relative tourism export prices and aggregate real GDP. For almost all countries, HEGY tests applied to first-differenced variables cannot reject the null hypothesis of the presence of seasonal unit roots. Seasonal differencing would be necessary to remove the
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Estimating the implicit value of a short-term rental license: A case study of Airbnb survivals in New York city Tourism Economics (IF 3.6) Pub Date : 2024-08-10 Augusto Voltes-Dorta
Following New York City’s recent regulations requiring hosts of short-term accommodations to obtain licenses, most hosts either exited the market or switched to monthly rentals. This raises the question of the implicit value of a short-term rental license—a topic that has not received much attention in the literature. To address this gap, we estimated several fixed-effect negative-binomial regressions
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Digitalization means green? Linking the digital economy to environmental performance in the tourism industry Tourism Economics (IF 3.6) Pub Date : 2024-08-10 Lingling Jiang, Zhike Lv
Considering that carbon emissions are one of the main causes of climate change, it is increasingly urgent to reduce CO2 emissions from tourism. This study aims to scientifically assess whether the digital economy can mitigate the negative environmental effects of tourism. Based on a two-way fixed effects model for a global sample of 100 countries from 2003 to 2020, this study highlights the tourism-CO2
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Examining the impact of Halal tourism industry sustainability on stock returns Tourism Economics (IF 3.6) Pub Date : 2024-07-21 Mohammad Ashraful Ferdous Chowdhury, Mohammad Abdullah, Zunaidah Sulong
This study investigates the relationship between sustainable industry performance and stock returns of the Halal tourism sector. We use a comprehensive dataset comprising 192 Halal tourism firms from 38 countries over the period of 2010–2020. Our baseline analysis reveals a significant positive impact of sustainable industry performance on Halal tourism stock returns. To control endogeneity issues
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A tourist in the economics of tourism: Reflections on nonparametric estimation of stochastic frontier models Tourism Economics (IF 3.6) Pub Date : 2024-07-19 Christopher F Parmeter
The past two decades has seen tourism research embrace frontier methods to assess efficiency in tourism. Generically these methods are split into two different camps, deterministic and stochastic frontier models. Deterministic models are by their nature nonparametric and do not require distributional assumptions. Stochastic models allow for noise to enter the frontier, typically at the expense of a
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Restaurant celebrity chief executive officer and risk-taking: The moderating role of chief executive officer origin and franchising Tourism Economics (IF 3.6) Pub Date : 2024-07-19 Bora Kim, Seoki Lee
Some business leaders, just like some artists and politicians, acquire celebrity status and become more visible as star CEOs through increased media attention. However, to date, little has been known about how such celebrity status affects the individual and their organizations. Based on identity control theory and celebrity role constraints logic in the context of upper echelons perspective, this
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Assessing the economic effects of investment in smart tourism platform Tourism Economics (IF 3.6) Pub Date : 2024-06-24 Hyunae Lee, Chulmo Koo, Namho Chung
This study assesses the economic impact of Smart Tourism Platform (STP) projects in Seoul. We begin by outlining the architecture of STP, which comprises seven distinct layers, to deepen our understanding. Next, we analyze their economic effects using a four-step approach that includes Delphi surveys and the updating of Seoul’s 2015 national input-output table to a 2021 regional version through RAS
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Gender earning gap on digital platforms: The Airbnb case Tourism Economics (IF 3.6) Pub Date : 2024-06-24 Eyal Ert, Aliza Fleischer, Daniel Kopolovich
Contrary to initial expectations derived from traditional labor market theories, which predicted digital platforms would narrow the gender earnings gap, recent studies suggest this gap remains persistent. This research focuses on Airbnb, where trust and hospitality, often perceived as favoring female hosts, play a critical role. Using data from Airbnb in Tel-Aviv and supported by experimental evidence
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Unveiling the mystery of the responsiveness of inbound tourism to economic policy uncertainty: New evidence from Australia Tourism Economics (IF 3.6) Pub Date : 2024-05-29 Yuting Gong, Chia-Hsun Chang, Paul Tae-Woo Lee, Jingbo Yin, Wenming Shi
Using a time-varying parameter vector autoregressive (TVP-VAR) model, this study analyzes how inbound tourist arrivals (TOUR) respond to EPU in Australia. Empirical results show that EPU can Granger cause TOUR in most cases before COVID-19, whereas little evidence supports this finding after the pandemic. At the national level, it is found that EPU was the net risk transmitter before COVID-19 but became
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The impact of COVID-19 on tourism expenditures: A Quasi-DiD analysis Tourism Economics (IF 3.6) Pub Date : 2024-05-27 Alice Guerra, Pierpaolo Pattitoni, Laura Vici
We investigate the impact of COVID-19 on tourism expenditures by analyzing survey data collected from participants of one of the major amateur cycling races in Italy—the Nove Colli. We gathered information from different types of participants (tourists, residents, day-trippers) about their travel expenses, accommodation, food and beverage, and side goods such as sports equipment. The survey covers
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Reflecting on the contributions of Professor Tsionas in time series analysis, asset price modelling, and forecasting Tourism Economics (IF 3.6) Pub Date : 2024-05-25 Emmanuel C Mamatzakis
While Professor Tsionas is widely acclaimed for his ground-breaking works in Bayesian panel econometrics and frontier analysis models, his substantial impact in time series analysis in finance remains relatively less known. Nonetheless, the doctoral thesis of Professor Tsionas focussed on asset pricing models, serving as a foundation for his subsequent research pursuits in time series analysis and
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Tourist flows and protection of cultural heritage in Andalusia (Spain): An econometric analysis with panel data Tourism Economics (IF 3.6) Pub Date : 2024-05-23 Juan J García del Hoyo, Celeste Jiménez de Madariaga
This article analyzes the influence of heritage labeling on tourist flows in Andalusia (Spain). Some of the labels considered correspond to public registries whose purpose is the protection of heritage, while others correspond to specific recognitions aimed at promoting tourism and local development. A data panel of 31 tourist destinations covering the entire territory of Andalusia has been constructed
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Economic impacts of digital home-sharing platform: Creative destruction in the hospitality industry Tourism Economics (IF 3.6) Pub Date : 2024-05-10 Taehyee Um, Yejin Lee, Jakeun Koo
This paper describes an empirical study that was conducted by applying creative destruction theory to examine structural changes in the hospitality industry due to the growth of digital home-sharing platforms. To achieve these research aims, the current study considered the hospitality industry, which encompasses the accommodation and restaurant sectors, as well as Airbnb, representing the digital
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Some reflections on technical and allocative inefficiency modeling Tourism Economics (IF 3.6) Pub Date : 2024-05-06 Subal C Kumbhakar
This paper offers a concise overview of the existing literature on efficiency and productivity, focusing on stochastic frontier models. The emphasis is placed on technical inefficiency (TI), defined as the failure to produce the maximum output given inputs, and allocative inefficiency (AI), arising from non-optimal input utilization. The primary objective of this brief survey is to assist readers in
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Introduction: Special focus on tourism, economic development and environmental impact Tourism Economics (IF 3.6) Pub Date : 2024-05-03 Juan Gabriel Brida, Pablo Juan Cárdenas-García
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The role of tourism in European regions’ economic recovery: A spatial perspective Tourism Economics (IF 3.6) Pub Date : 2024-05-02 Rita De Siano, Rosaria Rita Canale
The study searches for the presence of a tourism-led growth path after a negative shock. Both the presence of a tourism role in the recovery process and the existence of a spatial interdependence across regions are investigated. The purpose of the study is to look at insights, provided in particular by the experience of the 2007–2008 crisis in European regions, that can be useful to build a recovery
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Tourism economics development beyond the COVID-19 crisis: The eight International Association for Tourism Economics (IATE) conference Tourism Economics (IF 3.6) Pub Date : 2024-04-20 Sauveur Giannoni, Sylvain Petit, Nicolas Peypoch, Bozana Zekan
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Unraveling the links between development, growth, and tourism specialization. A country-panel analysis using self-organizing maps Tourism Economics (IF 3.6) Pub Date : 2024-04-15 Bibiana Lanzilotta, Miriam Scaglione, Verónica Segarra
This research explores the relationship between development, economic growth and tourism specialisation in 123 countries between 1995 and 2019. Based on the hypothesis that a single model is inadequate to capture the complex dynamics between these variables, we classify countries before studying the link within each category. The empirical strategy is based on the application of an objective country
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Modeling the determinants of tourism diversification: An empirical analysis for Australia Tourism Economics (IF 3.6) Pub Date : 2024-04-10 Sakiru A Solarin, Sinan Erdogan, Ugur Korkut Pata, Mustafa Tevfik Kartal
This paper aims to use an augmented tourism demand model to examine the determinants of tourism diversification by using the data from 46 tourism markets and seven tourism activities in Australia from 1987 to 2021. The tourism markets in Australia have been further divided into sub-regions, and each region has been analyzed. The empirical evidence shows that an increase in the average income in the
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Exploring the research impact of Professor Efthymios (Mike) Tsionas Tourism Economics (IF 3.6) Pub Date : 2024-04-09 Nickolaos G Tzeremes
This paper provides a literature review of Professor Efthymios (Mike) Tsionas’ influential contributions to the fields of econometrics and tourism economics. Tsionas’ research spans a broad spectrum of methodological advancements and empirical analyses, focusing particularly on Bayesian inference, stochastic frontier models, and efficiency and productivity estimation. In econometrics, Tsionas’ work
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Volcanic eruptions and tourism prosocial consumption Tourism Economics (IF 3.6) Pub Date : 2024-04-05 Ubay Pérez-Granja, Ascensión Andina-Díaz, Juan Luis Jiménez
This paper exploits a recent natural experiment to analyze the effect of volcanic eruptions on tourism expenditure. Using a Difference-in-Differences methodology, we find that volcanic eruptions have a positive impact on tourism expenditure, both aggregate expenditure and expenditure by category, and both during the eruption and the post-eruption period. We investigate the mechanisms behind the increase
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The impact of hotel openings on the commercial structure: Evidence from a natural experiment Tourism Economics (IF 3.6) Pub Date : 2024-03-09 Oriol Anguera-Torrell
Hotels and tourist-oriented businesses geographically coagglomerate in urban areas, suggesting that hotels affect the commercial structure around them. Yet, previous evidence is correlational and cannot establish if hotel openings can trigger a tourist-oriented commercial transformation. This paper proposes to fill this gap by using a natural experiment. At the end of 2015, the issuance of licenses
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A novel two-stage combination model for tourism demand forecasting Tourism Economics (IF 3.6) Pub Date : 2024-03-08 Mingming Hu, Haifeng Yang, Doris Chenguang Wu, Shuai Ma
The tourism literature has shown that a combination of tourism forecasting models can provide better performance than individual models. In the literature, the models to be combined are usually subjectively selected and authors focus on the combination method. In this study, a new direction is represented by the integration of forecasts from several models using a two-stage forecasting system. In stage
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Short- and long-term effects of domestic tourism promotion in Argentina after COVID-19 Tourism Economics (IF 3.6) Pub Date : 2024-03-04 Martín Cicowiez, Natalia Porto, Manuela Cerimelo
At the beginning of 2020, the world experienced the COVID-19 pandemic in which several countries all around the world closed their borders and established isolation measures. These types of measures, in line with the spread of the virus, mainly affected those sectors where face-to-face interaction and mobility were central, as it was the case in the tourism sector. As a response to this crisis, some
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Commitment of travel and leisure firms to sustainable development goals Tourism Economics (IF 3.6) Pub Date : 2024-02-27 Martin Thomas Falk, Eva Hagsten
This study investigates the interdependencies of commitments to Sustainable Development Goals as reported by travel and leisure firms active in the United Nations Global Compact Programme. Descriptive statistics reveal that SDG 8 ‘economic growth and decent jobs’ (88%), SDG 13 ‘climate action’ and SDG 5 ‘gender equality’ (SDG 5) (78% each) as well as SDG 12 sustainable production and consumption (75%)
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Cross-domain dynamics: How geopolitical and climate policy uncertainties shape tourism patterns in the United States Tourism Economics (IF 3.6) Pub Date : 2024-02-23 Hela B Hamida
Predicting tourism demand is crucial for policymakers and stakeholders in the tourism industry, enabling them to enhance promotional strategies, optimize marketing efforts, align investments, and achieve operational efficiency. While existing research has highlighted the negative impact of global risk factors such as geopolitical risks, economic policy uncertainty, and climate changes on tourism demand
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Heritage tourism and local prosperity: An empirical investigation of their controversial relationship Tourism Economics (IF 3.6) Pub Date : 2024-02-20 Silvia Cerisola, Elisa Panzera
Cultural heritage and local attractiveness entertain an inextricable relationship. Cultural visitors and tourists are willing to discover and admire different, unique, and outstanding forms of culture and local inhabitants recognize themselves in the symbolic meanings and values carried by their heritage, which inspires proudness and sense of belonging. Furthermore, cultural tourism represents a contributor
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Crowding-in and (temporary) crowding-out in Venice. The effect of cultural events on residents Tourism Economics (IF 3.6) Pub Date : 2024-02-19 Andrea Baldin, Dario Bertocchi, Nicola Camatti
Cultural events are endorsed in urban cultural policy for their economic role in supporting the tourism industry and their social role in strengthening community cohesion. Nevertheless, conflicts can arise between these two objectives, especially in cities already experiencing massive tourism regardless of the staging of major events. Taking Venice as a case study, we investigate the effects that different
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A reexamination of inbound tourism performance Tourism Economics (IF 3.6) Pub Date : 2024-02-16 Aurélie Corne, Sauveur Giannoni, Nicolas Peypoch
This paper proposes to investigate tourism performance by employing fuzzy-set Qualitative Comparative Analysis. International tourist destinations are examined to identify the different paths leading to high levels of tourism arrivals and tourism receipts. The findings demonstrate that tourism performance is complex and requires specific combinations of conditions to succeed. The research identifies
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Macau hotel industry’s response to global shocks Tourism Economics (IF 3.6) Pub Date : 2024-02-16 Aliana Man Wai Leong, Emrah Kocak, Jingyi Bai, Fevzi Okumus
This study examines the Macau hotel industry’s response to global shocks using vector autoregression analysis. According to the findings, the hotel occupancy rate reacts negatively to a one-standard-deviation shock in global geopolitical risk. However, this reaction decreases after the second period and completely loses its effect after the fourth period. Hotel occupancy rate responds weakly and short
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Effect of franchising on the reliability of financial analysts’ earnings forecasts: Evidence from publicly traded US restaurant firms Tourism Economics (IF 3.6) Pub Date : 2024-02-15 Jaehee Gim, Seunghun Shin, Hyejo Hailey Shin
Unlike institutional investors, who have expertise in collecting and analyzing firm information to predict firms’ future performance, individual investors have a limited ability to conduct this task. Therefore, individual investors are known to commonly rely on financial analysts’ earnings forecasts, which are freely available to them. However, as demonstrated by numerous studies, financial analysts’
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Investigating the non-linear impacts of seven types of natural disasters on inbound tourism: Insights from the EM-DAT database Tourism Economics (IF 3.6) Pub Date : 2024-02-13 Léopold T Biardeau, Mondher Sahli
The growing frequency and intensity of disasters due to climate change present considerable risks for tourist destinations, necessitating comprehensive research on their economic impacts. This study investigates the contemporaneous dose-response relationship between natural disasters and inbound tourism by estimating a flexible binned regression model. The analysis is conducted in a panel data setting
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Paycheck Protection Program and lending discrimination in the US hospitality industry Tourism Economics (IF 3.6) Pub Date : 2024-02-13 Gabriela Lelo de Larrea, Mehmet Altin, Emrah Koçak, Fevzi Okumus
This study aims to assess lending discrimination in the Paycheck Protection Program (PPP) in the hospitality industry. PPP is one of the initiatives of the US government in response to the COVID-19 pandemic to support small businesses. While the US Congress aimed to target minority-owned and other businesses at a disadvantage, early research on the program found lending discrimination. This study contributes
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What skills do hospitality executives need for better financial outcomes from internationalization? Tourism Economics (IF 3.6) Pub Date : 2024-01-24 Sujin Song, Sungbeen Park, Seoki Lee
This study examines how characteristics of top executives moderate the effect of internationalization on hospitality firms’ performance. Using US publicly-traded hospitality firms, this study conducts hierarchical linear modeling to investigate how executives’ functional background and operating ability influence the relationship between internationalization and financial outcomes. Findings of this
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Economic incentives for tourists: Evaluating a regional policy measure Tourism Economics (IF 3.6) Pub Date : 2024-01-10 Roberto Cellini, Tiziana Cuccia
This Note examines the effectiveness of a regional policy centered around offering discounted vouchers to tourists. It specifically studies the case of Sicily, which, unlike other Italian regions, implemented this policy between 2021 and 2023 in response to the aftermath of the COVID-19 shock. Difference-in-differences estimates reveal that this intervention has failed to significantly affect tourism
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Does climate policy uncertainty influence corporate cash holdings? Evidence from the U.S. tourism and hospitality sector Tourism Economics (IF 3.6) Pub Date : 2024-01-03 Lei Zhang, Jing Gao
We examine the influence of climate policy uncertainty (CPU) on corporate cash holding decisions of U.S. tourism and hospitality firms. We find that CPU is negatively associated with corporate cash holdings for tourism and hospitality firms in the United States. A further analysis indicates that the impact of CPU on cash holdings lasts 2 years and disappears afterward. We also show that CPU is negatively
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High tide, low price? Flooding alerts and hotel prices in Venice Tourism Economics (IF 3.6) Pub Date : 2023-05-15 Francesco Angelini, Paolo Figini, Veronica Leoni
This research explores the effects of High Tide alerts on hotel prices in Venice, a city that is vulnerable to the impacts of extreme climate events due to its fragile ecosystem and a long history ...
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Evaluating the tourism green productivity and its driving factors in the context of climate change Tourism Economics (IF 3.6) Pub Date : 2023-05-09 Zheng Wang, Jinhua Luo
In the context of global climate changes, the green transformation of tourism industry has become a general trend. This study constructed a comprehensive evaluation model (Super SBM-GML) to measure...
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Slack resources and employee-centered corporate social responsibility in restaurant companies Tourism Economics (IF 3.6) Pub Date : 2023-05-02 Yue Vaughan, Yinyoung Rhou, Yoon Koh, Manisha Singal
Although the importance of superior stakeholder relationships in the Corporate Social Responsibility (CSR) initiatives is well-established in the literature, research on the antecedents of such inv...
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Exploring the tourism markets’ convergence hypothesis in South Korea Tourism Economics (IF 3.6) Pub Date : 2023-04-25 Takashi Matsuki, Lei Pan
This paper examines the tourism markets’ convergence hypothesis across South Korea’s major source markets. In doing so, we use monthly data of visitor arrivals over the period July 1995 to June 201...
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Conformity or differentiation? The effect of competitive strategy on hotel performance Tourism Economics (IF 3.6) Pub Date : 2023-04-07 Beta Septi Iryani, Muhammad Halley Yudhistira, Khoirunurrofik Khoirunurrofik, Djoni Hartono
Hotels often stay close to each other to exploit the agglomeration benefit. However, geographical proximity also parallels competition. This study used annual longitudinal hotel data from the 2016–...
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The impact of FDI restrictions on tourism growth Tourism Economics (IF 3.6) Pub Date : 2023-04-05 Soonchan Park
This study investigates the impact of FDI regulatory restrictions on tourism growth. Using system generalized method of moments (GMM) estimation of the dynamic panel data model, this study finds th...
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Internet use and inverted U-shaped employment polarization in tourism occupations Tourism Economics (IF 3.6) Pub Date : 2023-03-21 Wei Guo, Jing Wang, Yue Kang
The existing literature has not fully explored the polarization of tourism employment and the causes of this polarization, and this article makes contributions to addressing this issue. Using data ...
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Can immigration moderate the adverse effects of political instability on international tourism? A case study of Australia Tourism Economics (IF 3.6) Pub Date : 2023-03-14 Charbel Bassil, Ghialy Yap
We estimate the impact of political instability and the population of immigrants in Australia on the flow of international tourist arrivals. We hypothesize that political instability has a short-te...
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Fine-grained tourism demand forecasting: A decomposition ensemble deep learning model Tourism Economics (IF 3.6) Pub Date : 2023-03-06 Jian-Wu Bi, Tian-Yu Han, Yanbo Yao
Compared with coarse-grained forecasting, fine-grained tourism demand forecasting is a more challenging task, but research on this issue is very scarce. To address this issue, a decomposition ensem...
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Modelling the asymmetric productivity effects of tourism demand Tourism Economics (IF 3.6) Pub Date : 2023-02-22 Nikeel Nishkar Kumar
A recent critique of the tourism-growth literature raises concerns about whether tourism leads to permanent economic growth. We argue that tourism can be linked to total factor productivity. Touris...