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dc.contributor.authorWiebe, Kirsten Svenja
dc.date.accessioned2019-03-20T14:23:05Z
dc.date.available2019-03-20T14:23:05Z
dc.date.created2018-05-19T10:43:59Z
dc.date.issued2018
dc.identifier.citationJournal of Cleaner Production. 2018, 194 243-252.nb_NO
dc.identifier.issn0959-6526
dc.identifier.urihttp://hdl.handle.net/11250/2590907
dc.description.abstractData on consumption-based CO2 emissions has become increasingly available over the past years. These data raise the awareness of the link between final goods and the environmental pollution caused by upstream production processes. Consumers of final products learn where in the world CO2 was emitted along the upstream production chain. For producers of final products these data provide benchmarks for total CO2 emitted in upstream production processes. These are used together with an extended version of the inverse important coefficient methodology to identify ‘emission hotspots’. ‘Emission hotspots’ are defined as countries/industries where a bulk of the upstream emissions occur and where a change in technology brings about the largest decrease in upstream emissions. This knowledge provides a basis for well-targeted technology transfers to clean up the upstream production chain, thus reducing the emission footprint of final goods production. The highest impact overall in a significant number global value chains analyzed here would be replacing upstream use of coal electricity by low carbon electricity. These results support the call of the ‘Powering Past Coal Alliance’ at the COP23 of ending the use of coal power sooner rather than later.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleIdentifying emission hotspots for low carbon technology transfersnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber243-252nb_NO
dc.source.volume194nb_NO
dc.source.journalJournal of Cleaner Productionnb_NO
dc.identifier.doi10.1016/j.jclepro.2018.05.003
dc.identifier.cristin1585655
dc.description.localcode© 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 17.5.2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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