A dynamic panel data analysis of snow depth and winter tourism

This paper analyses the relationship between the number of overnight stays and different measures of snow depth based on panel data covering 28 Austrian ski resorts for the period 1986/87–2005/06. Using the dynamic heterogeneous panel data technique of Pesaran, Shin, and Smith (1999), we found a long-run relationship between the number of overnight stays, amount of snow depth, weighted real GDP per capita of the major countries of visitor origin, and price index of accommodation services. The long-run elasticity of overnight stays with respect to snow depth was 0.10. However, for high-elevation resorts the evolution of the number of overnight stays was independent of variations in snow depth. Furthermore, the long-run elasticity of the number of overnight stays with respect to weighted real GDP per capita of the country's visitors was much greater for high-elevation resorts than for low-elevation resorts. Finally, early Easter holidays were significantly and positively related to winter tourism demand.     

The responsibility of tourism in traffic congestion and hyper-congestion: A case study from Mallorca, Spain

This paper explores the relationship between tourism and traffic congestion and hyper-congestion using the case study of Mallorca (Spain), one of the most important resort destinations in the Mediterranean. After discussing different proxies to capture the associated problems to road traffic congestion, different time series models are estimated including considering the days of the week, holidays and meteorological determinants jointly with a daily indicator of tourist population pressure. Results show how the tourist pressure variable is an important determinant in explaining the different alternative indicators of traffic congestion and hyper-congestion, for different roads. Hence it is possible to classify the roads in terms of usage by tourists in order to anticipate the levels of traffic intensity, especially during peak periods.     

An empirical analysis of the influence of macroeconomic determinants on World tourism demand

This paper considers three econometric models to determine the relationship between macroeconomic variables and tourism demand. Tourism demand is measured by the inbound visitor's population and also by on-the-ground expenditures. The database is an unbalanced panel of 218 countries over the period 1995–2012. There is evidence that an increase in the World's GDP per capita, a depreciation of the national currency, and a decline of relative domestic prices do help boost tourism demand. The World's GDP per capita is more important when explaining arrivals, but relative prices become more important when we use expenditures as the proxy for tourism demand. We cannot reject the hypothesis of a relative prices unitary elasticity of expenditures. Additionally, we have partitioned our data by income level and by Continent. Results are robust in the first partition, but less robust in the second, although the main conclusions still hold. Finally, we draw policy implications from our findings.     

The impacts of temporary but anticipated tourism spending: An application to the Glasgow 2014 Commonwealth Games

An extensive literature attempts to identify the economic impact of tourism expenditure. While Input-Output methods have been widely applied these may not always be appropriate for such applications and there is a growing use of more flexible Computable General Equilibrium (CGE) approaches. This paper uses a multi-period Scottish CGE model to estimate the system-wide effects of the temporary tourism expenditure related to the Glasgow 2014 Commonwealth Games. We quantify the sensitivity of our results to model specification, focusing in particular on how investment and consumption decisions are made and shifted over time to accommodate the temporary tourism shock. As part of this analysis we identify the pre-announcement period that optimises the present value of the economic impact. Whilst the empirical results apply to a specific event, our results have implications for similar analyses applied to mega events and other temporary phenomena affecting tourism expenditure, such as terrorism attacks or epidemics.     

Tourism and economic growth nexus revisited: A panel causality analysis for the case of the Mediterranean Region

Tourism is perceived as an important source of foreign exchange that is used for financing economic growth. This study offers a modern approach to tourism-led growth and investigates the causal relationship between tourism and economic growth in the European, Asian and African countries that border the Mediterranean Sea. The study uses panel data for the period 1998–2011, and adopts a panel Granger causality analysis developed by Dumitrescu and Hurlin (2012) to assess the contribution tourism makes to economic growth in each country. The results indicate that the direction of causality between tourism and economic growth depends on the country group and tourism indicator. Furthermore, the European countries are better able to generate growth from tourism in the Mediterranean region.     

Dynamic heterogeneous panel data analysis of tourism demand for Singapore

The objective of this study is to investigate tourism demand for Singapore using heterogeneous dynamic panel estimation methods. A binary variable representing the operation of Integrated Resorts (IRs), as well as income and real exchange rate, are included as determinants of tourism demand growth. Using seasonally adjusted and actual/raw quarterly data of 16 origin countries, our study shows that the pooled mran group (PMG) estimator is able to provide consistent and efficient estimates of long-run relationships between tourism demand and the determinants. The PMG results show that the long-run income (price) elasticity is positively (negatively) significant, with an elasticities range between 0.915 and 3.05 (?0.275 and ?0.34). In addition, the study reveals that the IRs contribute to tourism demand growth, especially in attracting tourists from Asia. In the long term, tourism demand by the Asian markets is less income-sensitive than that of the non-Asian counterparts.     

Analysis of international tourist arrivals worldwide: The role of world heritage sites

This study examines the impact on inbound tourism caused by the presence of world heritage sites. The statistics are derived from panel data for 66 countries for the period 2006–2009. The results indicate that there exists a positive relationship between having such heritage sites and tourist numbers, and the relationship is stronger for natural rather than for cultural heritage sites. The evidence also indicates the presence of a U-shaped relationship between numbers of world heritage sites in a country and tourist numbers. These relationships are found to be robust even though differences in patterns are found in different regions.     

Policies to increase business tourism income: A dynamic panel data model

This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.     

The impact of tourism developments on CO2 emissions: An advanced panel data estimation

Vulnerability and interaction between tourism and climate change are among the most important issues discussed recently. In this context, this study focuses primarily on how CO₂ emissions, the main source of global warming and climate change, react to tourism developments. To this end, the impact of tourism developments on CO₂ emissions in the most visited countries is examined from 1995 to 2014 by conducting the continuously updated fully modified (CUP-FM) and the continuously updated bias-corrected (CUP-BC) estimators. Empirical results indicate that tourism arrivals have an increasing effect on CO₂ emissions, while tourism receipts have a reducing effect on CO₂ emissions. Results also reveal a possible co-movement and causal relationship between tourism developments and CO₂ emissions in the long-run.     

The effect of COVID-19 pandemic on domestic tourism: A DEMATEL method analysis on quarantine decisions

Countries' most effective methods to reduce the impact of outbreaks are quarantine the regions during the pandemic periods. Quarantine decisions during a pandemic directly affect the hospitality industry. There is no universal guideline regarding the quarantine decision during a pandemic. There is a gap in the literature on making the right quarantine decisions to decrease the negative effect of a pandemic on the hospitality industry. To fill this gap, this study uses a decision-making trial and evaluation laboratory (DEMATEL) method to help countries for quarantine decisions due to the COVID-19 pandemic. One of the critical hospitality industry indicators is the inter-regional travel flow between regions for local tourism. Data from the household domestic tourism survey obtained from the Turkish Statistical Institute (TurkStat) is used to acquire the number of people entering and exiting among regions. This study's findings indicate that Istanbul has an essential impact on Turkey's rest. The results also demonstrate that the DEMATEL method provides convenient solutions for quarantine decisions during a pandemic. The DEMATEL application results concerning the COVID-19 pandemic effect might shed light on the hospitality industry’s prospects and challenges. This study's findings might be adopted to prepare the hospitality industry for the COVID-19 pandemic and similar pandemic.     

The impacts of immigrants and institutions on bilateral tourism flows

In this paper, we use data on recent bilateral tourism flow from 34 Organisation for Economic Co-operation and Development (OECD) countries to 52 middle-to low-income countries for the period 1995–2010 to determine whether immigration, trade and institutional quality play a role in driving OECD nationals to visit immigrant-source countries. Except for the African countries, the results show that immigrants residing in OECD countries have a positive advertising effect for their home country, inducing tourism flows from OECD countries. We also find that the quality of institutions, along with freedom and civil liberty indices, are important in selecting tourism destinations. A massive 8% of the variation in tourism flows can be accounted for by these factors. These results hold for the subsample and the whole sample with two exceptions: European and African destinations. We posit that this feature of the data exists because European (African) countries are so similar to each other, and small differences in the indexes do not matter at the top (bottom) of the distribution. By controlling for gravity and macroeconomic stability variables, we also show that the trade flows between countries, among other factors, play a crucial and stable role on tourism flows. Dynamic panel data estimation is used to account for the influence of repeat visits and support our findings.     

A panel data-based analysis of factors influencing market demand for Chinese outbound tourism

This paper presents data on the top 50 outbound destinations for Chinese tourists from 2002 to 2013. The total number of Chinese tourists traveling to these 50 destinations accounts for 95.38% of outbound travelers from China. We built a dynamic panel data model to measure factors that influence market demand for Chinese outbound tourism. The results show that economic variables such as income, tourism prices, and exchange rates have a significant influence on outbound tourism volume. The effect of bilateral goods trade and leisure time significantly differ between the full sample and the two subsamples, whereas political stability of the destinations and special incidents in China have no significant impact on demand for outbound tourism. Based on these findings, this study proposes strategies to strengthen the management of China’s outbound tourism market.     

The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study

This study explores the impact of governance and institutions on inbound tourism demand in Malaysia using a dynamic panel data approach for 45 tourism source countries over the period 2005–2015. The results show that institutions play a very important role in explaining the behaviour of inbound tourism demand. To obtain a better picture, we investigate the response of international tourists to disaggregated institutional quality. We find that international tourists are more concerned about political stability, governmental effectiveness, regulations, laws, and corruption than voice and accountability. Therefore, policymakers should focus on ways to improve institutional quality to significantly increase international tourist arrivals.     

The Cittaslow philosophy in the context of sustainable tourism development; the case of Turkey

This paper studies the Cittaslow (slow city) philosophy in terms of sustainable tourism development (STD); and in this context research was undertaken for the case of Turkey. Cittaslow, a movement rooted in STD philosophy, aims to encourage the development of tranquil cities already known for their historical, natural, socio-cultural, and touristic features and the intention is to offer a significant contribution to systematic and rapid implementation of STD on a global scale. This paper, which makes a particular study of the practice of STD in Turkey, offers new candidate cities (Uzungöl, Hasankeyf, Safranbolu, Ürgüp, and İznik) and, thus, endeavours to contribute to the spread of STD throughout the whole country. In this study, above-named cities were found to be particularly good candidates for Cittaslow membership. In addition to these: Tatvan, Midyat, Alanya, and Fethiye were also found to be potential Cittaslows even though they fail to meet the population criterion.     

Spatial price mimicking on Airbnb: Multi-host vs single-host

This paper studies the existence of two different supply operators in the peer-to-peer accommodation rental market for the city of Madrid. We specifically analyse spatial dependencies in price formation and whether the so-called professional hosts (i.e. those who have several Airbnb listings) set prices differently from single-property hosts. To this end, hedonic price models are estimated with and without spatial price dependence. Listings’ structural characteristics and accessibility measures to transportation hubs and sightseeing spots are considered in the regressions. Results provide clear evidence that price mimicking is higher among non-professional hosts whereas professional hosts set prices more independently.     

The length of stay of golf tourism: A survival analysis

This study analyses the length of stay of golf tourists in the Algarve, on the southern coast of Portugal. The analysis employs a questionnaire to ascertain the significant characteristics influencing the length of stay of golf tourists. A survival model is used to analyse which characteristics are associated with the length of stay, taking into account the uncontrolled heterogeneity of the data. Robustness tests are implemented and policy implications are derived for improving the understanding and management of the length of stay of heterogeneous tourists.     

The effects of natural disasters on international tourism: A global analysis

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The determinants of Chinese visitors to Australia: A dynamic demand analysis

Although China has progressively become an important inbound tourism market for Australia, its demand elasticities have been little studied to date. This study examines the determinants of Chinese visitors to Australia using a dynamic time-series estimator. Interesting findings include a high income elasticity as a source of the continuous doubledigit growth rates in Chinese arrivals that Australia has experienced over the past two decades, together with relatively high total trip price elasticities for both short run and long run. A trend of Chinese outbound to Australia is also identified. From a policy perspective, the results confirm that keeping a low cost of visiting Australia, both ground and travel costs, is a good strategy to secure greater numbers of Chinese tourists.     

A thematic analysis of crisis management in tourism: A theoretical perspective

The hospitality and tourism industry for a variety of reasons is vulnerable to crises of various origins and scope. Thereby, research regarding crises in this industry has received significant attention among scholars. This study presents the results of a qualitative thematic analysis (TA) of the literature concerning crisis management in hospitality and tourism. A total of 207 research publications from 1986 to 2019 were analyzed. The findings revealed eight major themes that emerged in the literature over time. We critically discuss these themes with suggestions and directions for future research in this area. The study also identifies a shortage of scholarly attempt to conceptualize crisis management and thus explores the sensemaking perspective to shed further light on explaining the themes that emerged in the analysis.     

The determinants of hotel room rates: Another visit with Singapore's data

In this research note, volatility clustering modeling framework is used to examine the determinants of hotel room rates in Singapore. Using monthly data from January 1985 to June 2009, GARCH-M(1, 1) is identified as the appropriate model used to capture volatility clustering. The results suggest that total inbound tourists and economic performance have positive effects on hotel room rates. The main findings are (a) the occurrences of terrorist activities in the neighboring countries have negative impacts and (b) the volatility of hotel room rates has a positive effect, on hotel room rates.