Course: Tourism Economics

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Course title Tourism Economics
Course code MUPE/4ECR
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Maráková Vanda, prof. Ing. PhD.
Course content
Tourism as a cross-cutting and socio-economic system. Tourism demand, quantification and forecasting using qualitative and quantitative methods. Tourism supply and influencing factors. Tourism market structure, supply chain and partnerships. Economic benefits of tourism and how to assess them (satellite account, input-output models, cost-benefit analysis). Non-economic benefits of tourism. Current level of tourism development in the world. Competitiveness assessment of destinations. Future direction of tourism research.

Learning activities and teaching methods
unspecified
learning outcomes
Knowledge
Students will know the various factors affecting tourism, including economic, social, and environmental aspects.
Students will know the various factors affecting tourism, including economic, social, and environmental aspects.
Will be able to quantify tourism demand and analyse the factors influencing supply in different destinations.
Will be able to quantify tourism demand and analyse the factors influencing supply in different destinations.
They will gain knowledge of methods of evaluating the economic impacts of tourism, including the use of satellite accounts, input-output models, and cost-benefit analysis.
They will gain knowledge of methods of evaluating the economic impacts of tourism, including the use of satellite accounts, input-output models, and cost-benefit analysis.
Will be able to identify the key factors determining the competitiveness of destinations and compare their relative attractiveness for tourism.
Will be able to identify the key factors determining the competitiveness of destinations and compare their relative attractiveness for tourism.
They will gain an understanding of current trends in tourism and will be able to identify possible directions for future research and development in this area.
They will gain an understanding of current trends in tourism and will be able to identify possible directions for future research and development in this area.
Skills
Students will be able to critically analyze and synthesize a vast amount of information from a variety of sources, including academic studies, statistical data, and professional literature.
Students will be able to critically analyze and synthesize a vast amount of information from a variety of sources, including academic studies, statistical data, and professional literature.
They will have the skills to present their ideas and research results through written reports, presentations, and discussions, both among colleagues and in the scientific community.
They will have the skills to present their ideas and research results through written reports, presentations, and discussions, both among colleagues and in the scientific community.
They will acquire skills in analytical data processing and quantification of various aspects of tourism using qualitative and quantitative methods.
They will acquire skills in analytical data processing and quantification of various aspects of tourism using qualitative and quantitative methods.
Be able to argue persuasively based on data analysis and interpretation of their research findings, both in writing and orally.
Be able to argue persuasively based on data analysis and interpretation of their research findings, both in writing and orally.
They will have the skills to work effectively in a team and collaborate with other students to solve complex problems and projects in the tourism industry.
They will have the skills to work effectively in a team and collaborate with other students to solve complex problems and projects in the tourism industry.
Recommended literature
  • BI, J-W., LI, H., FAN, Z-P. Tourism demand forecasting with time series imaging: A deep learning model. Annals of Tourism Research. 2021, ISSN 0160-7383.
  • DWYER, L., FORSYTH, P., DWYER, W. Tourism economics and policy.. Bristol: Channel View Publications, 2010. ISBN 978-13-84541-151-.
  • GÚČIK, M. Cestovný ruch v ekonomike a spoločnosti. Bratislava: Wolters Kluwer, 2020. ISBN 978-80-571-0273-1.
  • HILLMAN, W., RADEL, K. Qualitative methods in tourism research.. Bristol: Channel View Publications, 2018. ISBN 978-1-84541-640-9.
  • JIAO, X., CHEN, J. L., LI, G. Forecasting tourism demand: Developing a general nesting spatiotemporal model. In Annals of Tourism Research. 2021, ISSN 0160-7383.
  • KRONENBERG, K., FUCHS, M. Aligning tourism's socio-economic impact with the United Nations' sustainable development goals. Tourism Management Perspectives. 2021, ISSN 2211-9736.
  • MACNEILL, T., WOZNIAK, D. The economic, social, and environmental impacts of cruise tourism. Tourism Management, Volume 66. 2018, ISSN 0261-5177.
  • MATIAS, A., NIJKAMP, P., ROM?O, J. Impact Assessment in Tourism Economics. Berlin: Springer, 2016. ISBN 978-3-319-14919-6.
  • MATIAS, A. Quantitative Methods in Tourism Economics.. Berlin: Springer, 2012. ISBN 978-3-790-82870-8.
  • VANHOVE, N. The economics of tourism destinations. Abingdon: Routldege. 2018.
  • ZHANG, Y., LI, G., MUSKAT, B., VU, H.Q., LAW, R. Predictivity of tourism demand data. Annals of Tourism Research, Volume 89. 2021, ISSN 0160-7383.


Study plans that include the course
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