Project Details
Description
Environmental sustainability is a key challenge of humanity. Tourism is one
of the activities contributing significantly to environmental damage. The
United Nations Environment Program states that “uncontrolled conventional
tourism poses potential threats to many natural areas around the world.” It
is critical - both at the global and the local destination level - to find
effective ways to reduce the environmental harm caused by tourism
activities. The research project achieves that by changing tourist
behavior. With more than six billion tourists going on holiday every single
year, even the smallest changes in tourist behavior could collectively
achieve material change for the better.
The research questions will be answered by designing a series of
pro-environmental appeals. Their effectiveness will then be experimentally tested
across a range of real tourism businesses using as dependent variables
physical measures, such as actual electricity and water use, or observed
actual behavior, such as towel reuse (as opposed to stated behavior or
behavioral intentions which are prone to biases).
Findings resulting from this project have major theoretical implications:
they either confirm or challenge current theory. If pro-environmental
appeals prove to be effective in tourism, pro-environmental measures are
directly available for tourism industry to adopt. Adoption of these
measures will immediately reduce the environmental harm caused by the
tourism industry. If, however, pro-environmental appeals prove to be
ineffective in the tourism context, new theories for this context need to
be developed and empirically tested.
| Status | Finished |
|---|---|
| Effective start/end date | 01.10.2019 → 30.09.2022 |
Fields of science
- 502040 Tourism research
- 101018 Statistics
- 509 Other Social Sciences
- 504006 Demography
- 305907 Medical statistics
- 502051 Economic statistics
- 504004 Population statistics
- 105108 Geostatistics
- 509013 Social statistics
- 102035 Data science
- 101029 Mathematical statistics
- 102009 Computer simulation
- 101026 Time series analysis
- 106007 Biostatistics
- 101024 Probability theory
- 102037 Visualisation
- 502025 Econometrics
- 504007 Empirical social research
- 101007 Financial mathematics
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
- Digital Transformation
Research output
- 1 Article
-
Reducing the Plate Waste of Families at Hotel Buffets - A Quasi-Experimental Field Study
Dolnicar, S., Juvan, E. & Grün, B., Oct 2020, In: Tourism Management. 80, 104103, 12 p., 104103.Research output: Contribution to journal › Article › peer-review