Uneven domestic tourism demand in times of pandemic

This study investigates the short-run impact of the COVID-19 pandemic on the number of domestic overnight stays at the regional level in the summer season 2020. Official data for 65 regions in four countries are used for the analysis (Austria, the Czech Republic, Germany and Switzerland). Dynamic panel data models are employed to estimate a tourism demand equation (real GDP and price fluctuations) augmented by average temperatures. Estimation results reveal that domestic overnight stays evolve unevenly in the first summer after the outbreak of the COVID-19 pandemic. The short-run effects show that the number of domestic overnight stays in densely populated regions decreases by 27% in July as well as in August 2020, in comparison with the same months in previous years, ceteris paribus. To the contrary, there is a surge of 27 and 10%, respectively, for sparsely populated areas in the same months.JEL: Z3, R11 and R12.

Reverse adoption of information and communication technology among organisers of academic conferences.

This study examines the formats offered for academic conferences in the mature stages of the COVID-19 pandemic. Two out of three organisers discontinue their usage of online video tools and focus on in-person conferences. Only one out of five conferences offers hybrid solutions and even fewer a virtual alternative (13%). Data for the analysis originate from 547 calls for proposals announced in Spring 2022 for conferences to be held during the period August 2022 to July 2023. Estimates using a multinomial logit model show that the planning time is significantly related to the choice of format offered. The longer the lead time, the more likely it is to offer an in-person conference. International travel restrictions and bans on gatherings for the location of the venue at the time of planning are significantly related to the choice of virtual, but not hybrid formats. There are also large differences in the choice across disciplines, with conferences in arts and humanities as well as natural sciences showing the lowest preference for the virtual format.

In Times of Restricted Mobility: Cancel, Change Date, Or Change Format of Tourism Conferences

The aim of this article is to examine how tourism conference organizers react to the restricted mobility incurred by the spread of the COVID-19 virus. Do they cancel, change format, or change date for the event? This study contributes to an initial analysis of how organizers of international academic conferences in the tourism and hospitality industry deal with whole groups of participants who are no longer mobile and therefore cannot actively network personally. This uniquely compiled data covers a large representative number of conferences in this field. A Multinomial Logit model is used to estimate the options available. Data are based on unique information on almost 100 conferences, meetings, and congresses in the tourism and hospitality sector, including related fields such as leisure and recreation, planned to be held during the period of March to November 2020. Descriptive evidence shows that approximately one out of five conferences changes to a virtual format, somewhat more than half moves the date (mainly to the year 2021), and the remaining 25% cancel the event without alternative offers. Estimation results reveal that the decision to change to an online format increases nonlinearly over time in the form of an inverse U-shaped curve. This indicates a certain resistance to virtual conferences, although with more time for planning, a gradual adaptation to the actual situation appears to be possible. Longer conferences are less likely to change format. The probability of cancellations is lower for association conferences, which are held regularly.

Stock Market Performance of the US Hospitality And Tourism During the Covid-19 Pandemic

In this study, the stock market performance of the travel and leisure industry during the COVID-19 pandemic is investigated by use of the three-regime Markov switching model. The analysis employs daily data for six subsectors (airlines, gambling, hotels, leisure services, restaurants and bars, as well as travel and tourism) for the US from January 2018 to November 2021. Estimation results provide strong evidence of regime switching behavior with wide differences across subsectors during the course of the COVID-19 pandemic. A longer duration of high volatility characterizes the airline and leisure services indices. These sectors exhibit the most pronounced downturn that was not fully recovered in November 2021. In contrast, the period of high volatility in the restaurant, gaming, and hotel industries is relatively short, and stock market performance recovers almost to the general trend. Of all subsectors, restaurants and bars experience the shortest duration of high volatility, limited to the second quarter of 2020. The stock market indices for the travel and tourism industry (mainly car rentals) are also highly volatile, but this pattern was observed already before the pandemic.

Importance of land characteristics for resilience of domestic tourism demand

This study investigates empirically if land characteristics (especially forests and mountains) are of importance for the local ability to withstand the shock of the Covid-19 on domestic tourism demand during the summer of 2020. A second step of the analysis focuses on the recovery stage in the subsequent summer. Three tourism indicators are considered: arrivals, overnight stays and length of stay. Official data on land use characteristics of 2029 villages in the Federal state of Bavaria (South Germany) are employed for the analysis. Estimations using the Spatial Durbin model combined with the Heckman selection model reveal that there is a significant relationship between the proportion of forest within as well as surrounding the village and the demand for domestic tourism compared with the 2019 baseline. There is also a significant relationship with the altitude of the surrounding areas. The importance of mountains and forests is present in both the initial year of the pandemic and in the recovery year of 2021, although the magnitude is lower in the summer of 2021. Direct and spatial effects can also be found for lakes and rivers on overnight stays and length of stay.

Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020.

This study investigates empirically changes in domestic summer tourism demand following the Covid-19 pandemic in 305 regions across six European countries (Denmark, Finland, France, Italy, Spain and Sweden) based on official data. Five different groups of NUTS 3 regions are identified in accordance with a typology suggested by the OECD where density and connectivity are aspects of importance. Dynamic panel data estimations show that large metropolitan regions experience strong decreases in demand (approximately 30 per cent) both in July and August 2020. There are, however, clear differences between the Northern and Southern European countries. In the North, the remote regions encounter an increased demand that is partially offsetting losses in the large metropolitan regions. This pattern cannot be found in the South. The decline in domestic tourism flows to the major metropolitan areas is also more pronounced in the South of Europe, approximately 50 per cent per summer month compared with 20 per cent (July 2020) and stagnation (August 2020) in the North regions.

Uneven domestic tourism demand in times of pandemic

This study investigates the short-run impact of the COVID-19 pandemic on the number of domestic overnight stays at the regional level in the summer season 2020. Official data for 65 regions in four countries are used for the analysis (Austria, the Czech Republic, Germany and Switzerland). Dynamic panel data models are employed to estimate a tourism demand equation (real GDP and price fluctuations) augmented by average temperatures. Estimation results reveal that domestic overnight stays evolve unevenly in the first summer after the outbreak of the COVID-19 pandemic. The short-run effects show that the number of domestic overnight stays in densely populated regions decreases by 27% in July as well as in August 2020, in comparison with the same months in previous years, ceteris paribus. To the contrary, there is a surge of 27 and 10%, respectively, for sparsely populated areas in the same months.JEL: Z3, R11 and R12.

Determinants of CO2 emissions generated by air travel vary across reasons for the trip.

This study estimates factors of importance for the carbon dioxide equivalent (CO2e) emissions generated by travellers flying for different reasons based on representative Austrian micro data for the period 2014-2016. The annual average number of flights taken by adults vary between 0.1 (visiting friends) and 0.8 (going on holiday), and the amount of CO2e emissions generated by each return flight is approximately 1100 kg. This leads to a total of 6 million tonnes CO2e emissions per year. Results of the Pseudo Poisson Maximum Likelihood estimations reveal that the amount of CO2e emissions created is related to socio-demographic, locational and seasonal factors, although mainly for the largest group of travellers: the holiday makers. In this group, individuals with university degrees, young persons (16-24 years) and capital city residents generate the largest amounts of emissions, as opposed to persons with children and large households. Residents of the capital region each quarter cause 64 kg more CO2e emissions than inhabitants of rural areas, persons with university degrees create 74 kg larger emissions than those without degrees and young adults instigate 90 kg more emissions than middle-aged persons. CO2e emissions of holiday flights are highest in the first quarter of the year. The importance of education is also pronounced for CO2e emissions related to business travel, as is gender.

Nordic stock market performance of the travel and leisure industry during the first wave of Covid-19 pandemic

This article investigates the performance of the stock market and its volatility in the travel and leisure industry for three Nordic countries using daily data from June 2018 to June 2020, a period that includes the first wave of Covid-19 pandemic. The methodology is based on the Markov regime switching model that allows unobservable regime shifts in the stock return relationship between the travel and leisure industry and the overall market in the period before the outbreak of Covid-19 crisis and during the recovery period at the end of the first wave. The results provide strong evidence of regime switching behaviour in the form of idiosyncratic risk as measured by volatility. The period before Covid-19 corresponds to a low/medium idiosyncratic risk, while the period of the pandemic is characterized by a regime with high idiosyncratic risk. Overall, the timing, likelihood and duration of this crisis regime depend on the composition of the travel and leisure firms. Those with a large proportion of online gambling firms perform better, while those consisting of international transportation firms, hotels and restaurants perform negatively. This study shows that the high-frequency data and the model chosen here can provide timely information on the impact of the pandemic on various tourism and leisure businesses that could be useful for policymaking.

When international academic conferences go virtual.

This study investigates the extent to which international academic conferences changes format to virtual when faced by sudden Covid-19 related immobility. Data on 587 conferences in the fields of business, economics, information technology, management and other social sciences that were planned to be held between March and August 2020 are retrieved from authorised conference listings. Approximately 28% of the conferences changed to virtual format during the period of time studied. Probit estimations reveal that the probability of changing format to virtual increases with the country of location (United States), planning horizon and the available quality of broadband infrastructure in the scheduled conference country. However, the role of planning horizon differs across fields and location of the conference. The probability of virtual conferences is highest in the United States and for academic conferences in the field of information technology.

The unwanted free rider: Covid-19

Winter holidays in the European Alps early 2020 led to unexpected challenges for the Scandinavian countries (Denmark, Norway and Sweden), since many travellers brought home a free rider virus, Covid-19. In this study a modified gravity model is used to investigate how important destination country, size and geographical distance are for the extent to which the virus was carried to Scandinavia. The number of reported Covid-19 positive cases is highest from Austria (1150 individuals), Italy (68) and Spain (90). Count data model estimations confirm that the number of Covid-19 cases in Scandinavia mainly originates from Austria and Italy, followed by Iran. The number of positive cases brought from abroad decreases significantly with the geographical distance between the home country and the destination. There is also a clear surge of infections at the beginning of the observation period (11 March to 15 March 2020), before the introduction of travel restrictions.