|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||The role of interdisciplinary collaboration for stated preference methods to value marine environmental goods and ecosystem services|
Austen, Melanie C
Stated preference methods
Discrete choice experiments
|Citation:||Börger T, Böhnke-Henrichs A, Hattam C, Piwowarczyk J, Schasfoort F & Austen MC (2018) The role of interdisciplinary collaboration for stated preference methods to value marine environmental goods and ecosystem services. Estuarine, Coastal and Shelf Science, 201, pp. 140-151. https://doi.org/10.1016/j.ecss.2017.03.009|
|Abstract:||With the increasing use of environmental valuation methods in coastal, marine and deep-sea settings, there is a growing need for the collaboration of natural scientists and environmental economists. Stated preference valuation methods in particular need to be based on sound natural science information and translate such information to be used in social surveys. This paper uses three applications to make explicit the flow of information between different disciplines in the preparation and implementation of stated preference studies. One approach for facilitating this flow is to increase knowledge and understanding of natural scientists on these methods. To address this, this paper highlights key opportunities and pitfalls and demonstrates those in the context of three case studies. It therefore provides guidance on stated preference valuation for natural scientists rather than for economists.|
|Rights:||Accepted refereed manuscript of: Börger T, Böhnke-Henrichs A, Hattam C, Piwowarczyk J, Schasfoort F & Austen MC (2018) The role of interdisciplinary collaboration for stated preference methods to value marine environmental goods and ecosystem services. Estuarine, Coastal and Shelf Science, 201, pp. 140-151. DOI: https://doi.org/10.1016/j.ecss.2017.03.009 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/|
|Borger-etal-ECSS-2018.pdf||Fulltext - Accepted Version||2.2 MB||Adobe PDF||View/Open|
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