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  Taxing interacting externalities of ocean acidification, global warming, and eutrophication

Hänsel, M. C., van den Bergh, J. C. J. M. (2021): Taxing interacting externalities of ocean acidification, global warming, and eutrophication. - Natural Resource Modeling, 34, 3, e12317.
https://doi.org/10.1111/nrm.12317

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 Creators:
Hänsel, Martin C.1, Author              
van den Bergh, Jeroen C. J. M.2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: We model a stylized economy dependent on agriculture and fisheries to study optimal environmental policy in the face of interacting external effects of ocean acidification, global warming, and eutrophication. This allows us to capture some of the latest insights from research on ocean acidification. Using a static two-sector general equilibrium model we derive optimal rules for national taxes on urn:x-wiley:08908575:media:nrm12317:nrm12317-math-0001 emissions and agricultural run-off and show how they depend on both isolated and interacting damage effects. In addition, we derive a second-best rule for a tax on agricultural run-off of fertilizers for the realistic case that effective internalization of urn:x-wiley:08908575:media:nrm12317:nrm12317-math-0002 externalities is lacking. The results contribute to a better understanding of the social costs of ocean acidification in coastal economies when there is interaction with other environmental stressors.

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 Dates: 2021-05-232021-06-182021-09-09
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/nrm.12317
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
Organisational keyword: FutureLab - Public Economics and Climate Finance
Research topic keyword: Economics
Research topic keyword: Oceans
MDB-ID: No data to archive
OATYPE: Hybrid - DEAL Wiley
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Title: Natural Resource Modeling
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 34 (3) Sequence Number: e12317 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/natural-resource-modeling
Publisher: Wiley