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dc.contributor.authorMoran, Daniel
dc.contributor.authorKanemoto, Keiichiro
dc.date.accessioned2018-01-03T08:51:05Z
dc.date.available2018-01-03T08:51:05Z
dc.date.created2016-11-16T13:26:43Z
dc.date.issued2016
dc.identifier.citationEnvironmental Research Letters. 2016, 11 (9), .nb_NO
dc.identifier.issn1748-9326
dc.identifier.urihttp://hdl.handle.net/11250/2474218
dc.description.abstractWhile high-income countries have made significant strides since the 1970s in improving air quality, air pollution continues to rise in many developing countries and the world as a whole. A significant share of the pollution burden in developing countries can be attributed to production for export to consumers in high-income nations. However, it remains a challenge to quantify individual actors' share of responsibility for pollution, and to involve parties other than primary emitters in cleanup efforts. Here we present a new spatially explicit modeling approach to link SO2, NO x , and PM10 severe emissions hotspots to final consumers via global supply chains. These maps show developed countries reducing their emissions domestically but driving new pollution hotspots in developing countries. This is also the first time a spatially explicit footprint inventory has been established. Linking consumers and supply chains to emissions hotspots creates opportunities for other parties to participate alongside primary emitters and local regulators in pollution abatement efforts.nb_NO
dc.language.isoengnb_NO
dc.publisherIOP Publishingnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTracing global supply chains to air pollution hotspotsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber7nb_NO
dc.source.volume11nb_NO
dc.source.journalEnvironmental Research Lettersnb_NO
dc.source.issue9nb_NO
dc.identifier.doi10.1088/1748-9326/11/9/094017
dc.identifier.cristin1400994
dc.relation.projectNorges forskningsråd: 255483nb_NO
dc.description.localcode© 2016 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.nb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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