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Disentangling the influence of knowledge on attribute non-attendance

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Hanley_2016_JCM_Disentangling_AAM.pdf (868.4Kb)
Date
09/2017
Author
Sandorf, Erlend Dancke
Campbell, Danny
Hanley, Nick
Keywords
Attribute non-attendance
Discrete choice experiment
Knowledge
Attribute processing strategies
Cold-water coral
Ecosystem services
GE Environmental Sciences
NDAS
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Abstract
We seek to disentangle the effect of knowledge about an environmental good on respondents' propensity to ignore one or more attributes on the choice cards in a discrete choice experiment eliciting people's preferences for increased protection of cold-water corals in Norway. We hypothesize that a respondent's level of knowledge influences the degree to which she ignores attributes. Respondents participated in a quiz on cold-water coral prior to the valuation task and we use the result of the quiz as an ex-ante measure of their knowledge. Our results suggests that a high level of knowledge, measured by a high quiz score, is associated with higher probabilities of attendance to the three non-cost attributes, although this effect is only significant for one of them. A higher quiz score is also associated with a significantly lower probability of attending to the cost attribute. Furthermore, although being told your score has mixed directional effects on attribute non-attendance, it does not significantly affect the probability of attending to any of the attributes. Finally, allowing for attribute non-attendance leads to substantially lower conditional willingness-to-pay estimates. This highlights the importance of measuring how much people know about the goods over which they are choosing, and underlines that more research is needed to understand how information influences the degree to which respondents ignore attributes.
Citation
Sandorf , E D , Campbell , D & Hanley , N 2017 , ' Disentangling the influence of knowledge on attribute non-attendance ' , Journal of Choice Modelling , vol. 24 , pp. 36-50 . https://doi.org/10.1016/j.jocm.2016.09.003
Publication
Journal of Choice Modelling
Status
Peer reviewed
DOI
https://doi.org/10.1016/j.jocm.2016.09.003
ISSN
1755-5345
Type
Journal article
Rights
© 2016 Elsevier Ltd. All rights reserved. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at: http://dx.doi.org/10.1016/j.jocm.2016.09.003
Description
The data from the cold-water coral survey was collected as part of the project “Habitat-Fisheries interactions – Valuation and Bio-Economic Modeling of Cold-Water Coral”, funded by the Research Council of Norway (Grant no. 216485). We also thank the Marine Alliance Science and Technology (MASTS, www.masts.ac.uk, Scot­tish Fund­ing Coun­cil, Grant no. HR09011) for part funding this research.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/13002

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