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Valuing landslide risk reduction programs in the Italian Alps: the effect of visual information on preference stability

Mattea, S.; Franceschinis, C.; Scarpa, R.; Thiene, M.

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Authors

S. Mattea

C. Franceschinis

M. Thiene



Abstract

Climate change has increased the frequency and intensity of weather-related natural hazards everywhere. In particular, mountain areas with dense human settlements, such as the Italian Alps, stand to suffer the costliest consequences from landslides. Options for risk management policies are currently being debated among residents and decision makers. Preference analysis of residents for risk reduction programs is hence needed to inform the policy debate. We use discrete choice experiments to investigate the social demand for landslide protection projects. Given the importance of information in public good valuation via surveys, we explore the effect of specific visual information on the stability of preference estimates. In our survey, we elicit preferences before and after providing respondents with scientific-based information, based on visual simulations of possible events. This enables us to measure information effects. Choice data are used to estimate a Mixed Logit (MXL) model in WTP space to obtain robust estimates of marginal willingness-to-pay (mWTP) estimates and control for the effect of information. Mapping posterior individual specific mWTP estimates provide additional policy implications. Overall, we found the mWTP estimates to be dependent on information.

Citation

Mattea, S., Franceschinis, C., Scarpa, R., & Thiene, M. (2016). Valuing landslide risk reduction programs in the Italian Alps: the effect of visual information on preference stability. Land Use Policy, 59, 176-184. https://doi.org/10.1016/j.landusepol.2016.08.032

Journal Article Type Article
Acceptance Date Aug 26, 2016
Online Publication Date Sep 8, 2016
Publication Date Dec 31, 2016
Deposit Date Sep 15, 2016
Publicly Available Date Sep 8, 2017
Journal Land Use Policy
Print ISSN 0264-8377
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 59
Pages 176-184
DOI https://doi.org/10.1016/j.landusepol.2016.08.032
Public URL https://durham-repository.worktribe.com/output/1376505

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