Workgroup 2: Sustainable Tourism

The course is designed to provide an in-depth knowledge about sustainability, sustainable tourism and regional development, its definition, standards, preconditions, indicators, problems and chances referring to international experience. Using concrete examples we will investigate how to combine environmental, social and economic aspects and implement hem within a sustainable tourism management. We will look at regional tourism developments (not only) in rural areas in regard to consumption, production and marketing. Local stakeholders and their roles and competence are also important for our investigation. Traditional, natural and cultural unique selling points and their sustainable usage, e.g. in and around National Parks shall be introduced and evaluated for the Caucasus Region.
After participation the students should:

  • know about the international discussion and definitions in terms of sustainability, sustainable tourism and regional development
  • have learned about the idea and targets of sustainable tourism, and regional development according to international guidelines and different conceptual approaches
  • know about the critics and problems of a sustainable regional development
  • know about the necessary competences which have to be available
  • realise the regional effects and economic impact assessment of an independent regional development by example worldwide
  • transfer and evaluate those international experiences to the potential of the Caucasus Region as a beneficial option for different regions
  • have been acquainted to other institutions working in the field of sustainable tourism and regional development
  • have learnt how to apply the strategies within a concrete situation
  • have improved methods and strategies of internet research and presenting of reports, with appropriate structures and quotations.

Additional to this, master students

  • should be able to work on scientific research and measure the sustainability of tourism, not only on a theoretical but on a practical level too and use concrete tools like statistics, methods of graphs and clusters, methods of survey, extrapolation and modeling.