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When Risk Information Changes the Trip: Evidence from a Randomized Panel Combining Discrete Choice and Travel Cost Methods

Author

Listed:
  • Mikołaj Czajkowski

    (University of Warsaw, Faculty of Economic Sciences)

  • Wojciech Zawadzki

    (University of Warsaw, Faculty of Economic Sciences)

  • Katarzyna Skrzypek

    (University of Warsaw, Faculty of Economic Sciences)

  • Wiktor Budziński

    (University of Warsaw, Faculty of Economic Sciences)

  • Milan Scasny

    (University of Warsaw, Faculty of Economic Sciences
    Charles University, The Environment Center)

Abstract

Coastal bathing delivers large welfare benefits but exposes recreationists to low-probability, high-salience microbial risks that are likely to become more frequent under climate change. Because these risks are largely invisible, behaviour and welfare depend on beliefs and the effectiveness of risk communication. We provide causal evidence on how pathogen-risk information affects preferences and recreation demand using a three-wave panel survey of users of the Gulf of Gdańsk and the Vistula Lagoon (Poland). A stratified national sample identified 3,312 active coastal users in Wave 1 (spring 2024); 2,588 respondents returned in Wave 2 (summer 2024), where they were randomly assigned to receive either minimal information or increasingly detailed pathogen-risk scripts, and then completed a repeated beach-site discrete choice experiment. Approximately one year later (spring 2025), 1,507 users completed a policy-referendum discrete choice experiment on programs combining water-quality improvements, monitoring frequency, and household costs, alongside a repeated travel-cost module capturing multi-day trips and beach outings. Information treatments significantly increased objective and self-assessed knowledge and selectively raised willingness to travel/pay for risk-relevant attributes – especially frequent water-quality monitoring and water-quality improvements – while leaving unrelated attributes largely unchanged. Travel-cost models indicate that information affects trip-taking behaviour, yet the marginal travel-cost sensitivity remains stable, consistent with a demand shift rather than a change in the “price” slope. The results imply that welfare estimates are information-dependent and that credible risk communication can function as a scalable, low-cost complement to traditional coastal health-risk management.

Suggested Citation

  • Mikołaj Czajkowski & Wojciech Zawadzki & Katarzyna Skrzypek & Wiktor Budziński & Milan Scasny, 2026. "When Risk Information Changes the Trip: Evidence from a Randomized Panel Combining Discrete Choice and Travel Cost Methods," Working Papers 2026-22, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2026-22
    as

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    File URL: https://www.wne.uw.edu.pl/download_file/1b62c24b-598a-4120-95e2-083a4792d83a/4282
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    References listed on IDEAS

    as
    1. John C. Whitehead & Melissa S. Weddell & Peter A. Groothuis, 2016. "Mitigating Hypothetical Bias In Stated Preference Data: Evidence From Sports Tourism," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 605-611, January.
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    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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