The value of perfect information

Eutrophication from nitrogen and phosphorus has damaged the Baltic Sea, leaving large sea bottom areas without biological life, thus changing the marine ecosystem, and triggering the growth of toxic algae. Despite efforts to curb this pollution, the sea remains eutrophic. We argue that eutrophicatio...

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Bibliographic Details
Main Author: Kawa, Lanya
Format: Second cycle, A2E
Language:Inglés
Inglés
Published: 2016
Subjects:
Online Access:https://stud.epsilon.slu.se/9654/
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author Kawa, Lanya
author_browse Kawa, Lanya
author_facet Kawa, Lanya
author_sort Kawa, Lanya
collection Epsilon Archive for Student Projects
description Eutrophication from nitrogen and phosphorus has damaged the Baltic Sea, leaving large sea bottom areas without biological life, thus changing the marine ecosystem, and triggering the growth of toxic algae. Despite efforts to curb this pollution, the sea remains eutrophic. We argue that eutrophication management is subject to both uncertainty and irreversibility, and hence could explain why impacted countries may not be willing to enforce load reduction targets. This thesis focuses on the time lag of benefits following nitrogen abatement. The time taken for concentration levels to decrease after abatement is uncertain, leading to uncertain benefits. Using the quasi option value model, we calculate the value of learning this information, and thus find that removing this uncertainty is worth over 8.6 billion EUR, to all bordering countries. This could be of significant importance for actors rationally waiting for more information, before implementing expensive and irreversible policy.
format Second cycle, A2E
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institution Swedish University of Agricultural Sciences
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Inglés
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spelling RepoSLU96542016-10-06T14:30:29Z https://stud.epsilon.slu.se/9654/ The value of perfect information Kawa, Lanya Extension Pollution Eutrophication from nitrogen and phosphorus has damaged the Baltic Sea, leaving large sea bottom areas without biological life, thus changing the marine ecosystem, and triggering the growth of toxic algae. Despite efforts to curb this pollution, the sea remains eutrophic. We argue that eutrophication management is subject to both uncertainty and irreversibility, and hence could explain why impacted countries may not be willing to enforce load reduction targets. This thesis focuses on the time lag of benefits following nitrogen abatement. The time taken for concentration levels to decrease after abatement is uncertain, leading to uncertain benefits. Using the quasi option value model, we calculate the value of learning this information, and thus find that removing this uncertainty is worth over 8.6 billion EUR, to all bordering countries. This could be of significant importance for actors rationally waiting for more information, before implementing expensive and irreversible policy. 2016-09-21 Second cycle, A2E NonPeerReviewed application/pdf en https://stud.epsilon.slu.se/9654/1/kawa_l_161006.pdf Kawa, Lanya, 2016. The value of perfect information : application to the uncertain time lag of benefits from abatement in the Baltic Sea. Second cycle, A2E. Uppsala: (NL, NJ) > Dept. of Economics <https://stud.epsilon.slu.se/view/divisions/OID-510.html> urn:nbn:se:slu:epsilon-s-5924 eng
spellingShingle Extension
Pollution
Kawa, Lanya
The value of perfect information
title The value of perfect information
title_full The value of perfect information
title_fullStr The value of perfect information
title_full_unstemmed The value of perfect information
title_short The value of perfect information
title_sort value of perfect information
topic Extension
Pollution
url https://stud.epsilon.slu.se/9654/
https://stud.epsilon.slu.se/9654/