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

Authors: Isaac Ankamah-Yeboah; Claire W. Armstrong; Stephen Hynes; Bui Bich Xuan; Katherine Simpson;

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

Abstract

ecent 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 country.

This is an Accepted Manuscript of an article published by Taylor & Francis in the Journal of Environmental Economics and Policy on 18 May 2021, available online: https://doi.org/10.1080/21606544.2021.1924286.

Country
Norway
Subjects by Vocabulary

Microsoft Academic Graph classification: Climate change Logistic regression Deep sea Ecosystem services Deep sea communities Class (computer programming) business.industry Polarization (politics) Environmental resource management Geography Environmental regulation business

Keywords

Economics and Econometrics, Management, Monitoring, Policy and Law, Environmental Science (miscellaneous)

Buttel, F. H., & Flinn, W. L. (1974). The structure of support for the environmental movement, 1968-1970. Rural Sociology, 39(1), 56.

Togridou, A., Hovardas, T., & Pantis, J. D. (2006). Determinants of visitors' willingness to

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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3
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