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dc.contributor.authorSegura Querol, Sara
dc.contributor.otherFerruz, Luis
dc.contributor.otherGargallo, Pilar
dc.contributor.otherSalvador, Manuel
dc.date.accessioned2026-06-03T08:00:59Z
dc.date.available2026-06-03T08:00:59Z
dc.date.issued2014
dc.identifier.issn1466-4291en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162504en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14483
dc.description.abstractThe European Union Emissions Trading Scheme (EU ETS) is the first and largest international scheme for the trading of greenhouse gas emission allowances (European Union Allowances (EUA)). Considering that the global economic crisis is hurting corporate profits, analysing the implications of CO2 emissions constraints for company business performance (BP) is a crucial task for both policymakers and companies. In this context, we analyse the relationship between surplus of allowances (SA) and BP in Spanish firms during the period 2005 to 2010. Using quantile regression techniques that provide a more complete picture of the relationship between the analysed variables, we draw two conclusions. First, an increase in company activity effectiveness led to a decrease in SA, indicating that activity effectiveness was not linked to good environmental performance, in terms of wasting the minimum number of allowances. Second, a decrease in SA, i.e., buying more or selling less EUAs is linked to an increase in company profitability. This provides evidence that the price of EUA was not sufficiently high to create a cost advantage for firms reducing their emissions. Based on our results, two policy measures are proposed.es
dc.language.isoengen
dc.publisherTaylor & Francisen
dc.rights© 2014 The Authors. Published by Taylor & Francisen
dc.subjectEnvironmental economicsen
dc.subjectCarbon financeen
dc.subjectQuantile regresionen
dc.subjectEU ETSen
dc.titleEU ETS CO2 emissions constraints and business performance: a quantile regression approachen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceApplied Economic Lettersen
local.contributor.departmentBusiness Data Anayticses
local.description.peerreviewedfalseen
local.description.publicationfirstpage129en
local.description.publicationlastpage134en
local.identifier.doihttps://doi.org/10.1080/13504851.2013.844316en
local.contributor.otherinstitutionhttps://ror.org/012a91z28es
local.source.detailsVol. 21, issue 2en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bcceen
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept8729en


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