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dc.contributor.authorHampf, Benjamin
dc.contributor.authorRødseth, Kenneth Løvold
dc.coverage.spatialU.S.Anb_NO
dc.date.accessioned2019-12-19T08:53:48Z
dc.date.available2019-12-19T08:53:48Z
dc.date.created2015-12-04T09:39:09Z
dc.date.issued2015-09-22
dc.identifier.citationAnnals of Operations Research. 2017, 255 (1-2), 367-390.nb_NO
dc.identifier.issn0254-5330
dc.identifier.urihttp://hdl.handle.net/11250/2634082
dc.description.abstractIn this paper we analyze the economic effects of implementing EPA’s newly proposed regulations for carbon dioxide (CO2) on existing U.S. coal-fired power plants using nonparametric methods on a sample of 144 electricity generating units. Moreover, we develop an approach for evaluating the economic gains from averaging emission intensities among the utilities’ generating units, compared to implementing unit-specific performance standards. Our results show that the implementation of flexible standards leads to up to 2.7 billion dollars larger profits compared to the uniform standards. Moreover, we find that by adopting best practices, current profits can be maintained even if an intensity standard of 0.88 tons of CO2 per MWh is implemented. However, our results also indicate a trade-off between environmental and profit gains, since aggregate CO2 emissions are higher with emission intensity averaging than with uniform standards.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer USnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleOptimal profits under environmental regulation: the benefits from emission intensity averagingnb_NO
dc.title.alternativeOptimal profits under environmental regulation: the benefits from emission intensity averagingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holder© Springer Science+Business Media New York 2015nb_NO
dc.description.versionsubmittedVersionnb_NO
cristin.unitcode7482,0,0,0
cristin.unitnameTransportøkonomisk institutt
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1
dc.identifier.doi10.1007/s10479-015-2020-4
dc.identifier.cristin1296873
dc.source.journalAnnals of Operations Researchnb_NO
dc.source.volume255nb_NO
dc.source.issue1-2nb_NO
dc.source.pagenumber367-390nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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