Egon Smeral
Short Bio
Dr. Egon Smeral is Professor of Tourism Economics at the Modul-University, Vienna, Austria. Areas of research are applied economic theory and politics (especially in the fields of tourism economics, leisure and service sector economics), tourism forecasting and modelling, impact analysis and Tourism Satellite Accounts, designing and evaluating tourism policies programs as well as marketing strategies. He is a consultant to the Austrian Federal Ministry of Economics and Labour, Vice-president of the International Association of Scientific Experts in Tourism (AIEST), Secretary General of the Tourist Research Centre (TRC), member of the International Academy for the Study of Tourism (IAST), of the Travel and Tourism Research Association (TTRA) and the International Institute of Forecasters (IIF). Further, Egon Smeral is coordinating editor of the journal Annals of Tourism Research, member of the editorial review board of the Journal of Travel Research, Tourism Management, and of the editorial board of the journals Tourism Analysis, the Tourism Review, Anatolia and Tourism Economics.
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Projects
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Report about the Austrian Tourism Industry 2017
The study calculates the impact of Austrian Tourism on the Economy and describes and analyzes the development trends of value added, employment, and overnights.
Organisations: MODUL University Vienna, Department of Tourism and Service Management
Author: Egon Smeral
Date: 01.01.2018 - 30.06.2018
Managed By: MODUL University Vienna
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Report about the Austrian Tourism Industry 2016
The study calculates the impact of Austrian Tourism on the Economy and describes and analyzes the development trends of value added, employment, and overnights.
Organisations: MODUL University Vienna, Department of Tourism and Service Management
Author: Egon Smeral
Date: 01.01.2017 - 30.06.2017
Managed By: MODUL University Vienna
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Consumption-/Travel behaviour at medium-term economic stagnation
The study primarily analyzes the consumption/travel behaviour at stagnating/decreasing permanent income. Main focus of the study is the quantification of income/budget shifting from „non-neccessary“ consumer goods (i.e. travels, diverse luxury goods) towards „neccessary“ consumer goods (i.e. expeditures for daily needs) and increased „cautionary saving“ at stagnating/decreasing available personal real income.
Organisations: MODUL University Vienna, Department of Tourism and Service Management
Author: Egon Smeral
Date: 01.03.2016 -
Managed By: Department of Tourism and Service Management
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Statistical Report on Tourism Accommodation Establishments
Organisations: MODUL University Vienna, Department of Tourism and Service Management
Author: Egon Smeral, Irem Önder, Ulrich Gunter
Date: 01.01.2016 - 31.12.2017
Managed By: MODUL University Vienna
Research Output
- 2021
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"Beherbergung"2021 Pages: 75
Author(s): Stefan Gössling, Dagmar Lund-Durlacher, Hannes Antonschmidt, Mike Peters, Egon Smeral
Publication date: 2021
Place of Publication Volume: Berlin, Heidelberg
Publisher: Springer
Pages: 75
Electronic version(s), related files and links: http://dx.doi.org/https://link.springer.com/chapter/10.1007/978-3-662-61522-5_4
Host publication editor(s): U. Pröbstl-Haider, D. Lund-Durlacher, M. Olefs, F. Prettenthaler
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"Gastronomie und Kulinarik"2021 Pages: 93
Author(s): Dagmar Lund-Durlacher, Stefan Gössling, Hannes Antonschmidt, Gudrun Obersteiner, Egon Smeral, Martin Wildenberg
Publication date: 2021
Place of Publication Volume: Berlin, Heidelberg
Publisher: Springer
Pages: 93
Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1007/978-3-662-61522-5_5
Host publication editor(s): U. Pröbstl-Haider, D. Lund-Durlacher, M. Olefs, F. Prettenthaler
- 2020
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"Are Combined Tourism Forecasts Better at Minimizing Forecasting Errors?"2020 in: Forecasting. Volume: 2. Issue number: 3 Pages: 211-229
This study, which was contracted by the European Commission and is geared towards easy replicability by practitioners, compares the accuracy of individual and combined approaches to forecasting tourism demand for the total European Union. The evaluation of the forecasting accuracies was performed recursively (i.e., based on expanding estimation windows) for eight quarterly periods spanning two years in order to check the stability of the outcomes during a changing macroeconomic environment. The study sample includes Eurostat data from January 2005 until August 2017, and out of sample forecasts were calculated for the last two years for three and six months ahead. The analysis of the out-of-sample forecasts for arrivals and overnights showed that forecast combinations taking the historical forecasting performance of individual approaches such as Autoregressive Integrated Moving Average (ARIMA) models, REGARIMA models with different trend variables, and Error Trend Seasonal (ETS) models into account deliver the best results.
Author(s): Ulrich Gunter, Irem Önder, Egon Smeral
Publication date: 29. 6. 2020
Volume: 2
Issue number: 3
Pages: 211-229
Electronic version(s), related files and links: http://dx.doi.org/10.3390/forecast2030012
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"Editors' Introduction: Advanced Methods to Measure Tourism Impacts"2020 in: Portuguese Economic Journal. Volume: 19. Pages: 171-172
Author(s): Egon Smeral, Antonia Correia, Paulo Rodrigues
Publication date: 2020
Volume: 19
Pages: 171-172
- 2019
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"Forecasting performance of seasonal tourism demand models"2019
Author(s): Egon Smeral
Publication date: 2019
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