Assessing public preferences for deep sea ecosystem conservation: a choice experiment in Norway and Scotland

dc.contributor.authorAnkamah-Yeboah, I.
dc.contributor.authorArmstrong, C.W.
dc.contributor.authorHynes, S.
dc.contributor.authorXuan, B.B.
dc.contributor.authorSimpson, K.
dc.date.accessioned2022-01-12T16:02:23Z
dc.date.available2022-01-12T16:02:23Z
dc.date.issued2021
dc.descriptionResearch Articleen_US
dc.description.abstractRecent events around the world have revealed varying degrees of public support for climate change and environmental regulation. Applying a latent class logit model, this study investigates Norwegian and Scottish public’s economic support for proposed deep sea management policies for novel attributes, identifying the presence of preference heterogeneity. Marine litter and health of fish stocks were the attributes with the highest values in absolute terms. This was followed by the size of the protected area coverage, whilst the creation of jobs was the least valued. The results highlight public support for the further collective action required by the EU in moving beyond the 2020 objective of achieving good environmental status of Europe’s seas, despite the low WTP values of the minority classes in each countryen_US
dc.identifier.otherhttps://doi.org/10.1080/21606544.2021.1924286
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/37586
dc.language.isoenen_US
dc.publisherTaylor & Francis Groupen_US
dc.subjectEcosystem servicesen_US
dc.subjectdeep seaen_US
dc.subjectlatent class choice modelen_US
dc.subjectpolarizationen_US
dc.titleAssessing public preferences for deep sea ecosystem conservation: a choice experiment in Norway and Scotlanden_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Assessing-public-preferences-for-deep-sea-ecosystem-conservation-a-choice-experiment-in-Norway-and-ScotlandJournal-of-Environmental-Economics-and-Policy.pdf
Size:
2.05 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.6 KB
Format:
Item-specific license agreed upon to submission
Description: