Pro-Environmental Behavior in Tourism

  • Dolnicar, Sara (Researcher)
  • Juvan, Emil (Researcher)
  • Knezevic Cvelbar, Ljubica (Researcher)
  • Grün, Bettina (PI)

Project: Funded researchFWF - Austrian Science Fund

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.
StatusFinished
Effective start/end date01.10.201930.09.2022

Funding

  • Austrian Science Fund

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