Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61389
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dc.contributor.authorZhu, Xiaoxien
dc.contributor.authorChiong, Raymonden
dc.contributor.authorWang, Miaomiaoen
dc.contributor.authorLiu, Kaien
dc.contributor.authorRen, Minglunen
dc.date.accessioned2024-07-10T01:00:56Z-
dc.date.available2024-07-10T01:00:56Z-
dc.date.issued2021-04-
dc.identifier.citationTransportation Research Part A: Policy and Practice, v.146, p. 170-192en
dc.identifier.issn1879-2375en
dc.identifier.issn0965-8564en
dc.identifier.urihttps://hdl.handle.net/1959.11/61389-
dc.description.abstract<p>New energy vehicles (NEVs) are welcomed by both policymakers and consumers because of their energy saving and low carbon properties. However, due to their high production cost and limited cruising range, the development of the NEV industry relies heavily on governments' cash subsidy (CS) programs. At the same time, policymakers in several countries, including the United States (California) and China, have introduced carbon regulation (CR) to re-energize the NEV market. CS and CR have different impacts on the consumer and production sides. To this end, we propose a hybrid model combining the advantages of both. Through this model, the impacts of different interventions on product demands, profits, carbon emissions and technology R&D are derived: (1) CS always increases the demand for NEVs, while CR promotes NEVs only when NEVs are emission saving" providing CS increases the profits of the supply chain members, but supply chain profits under CR show uncertain trends" (2) CS reduces total emissions only if the unit carbon emission of NEVs is small enough, and the effect of NEVs' carbon quota on total emissions under CR shows a similar trend, whereas the impact of carbon price on total emissions under CR depends on specific thresholds. Further results show that when a customer values NEVs highly, the proposed hybrid model produces the lowest total emission" (3) Optimal technology R&D for the cruising range of NEVs increases under CS if the subsidy provided is based on the actual cruising range" otherwise, CR performs better. The hybrid model shows potential in outperforming the other two policies in terms of the optimal technology R&D" (4) Supply chain integration decreases the optimal technology R&D in the case of CR, whereas in the case of CS, technology R&D does not vary with integration or decentralization of the supply chain.</p>en
dc.languageenen
dc.publisherElsevier Ltden
dc.relation.ispartofTransportation Research Part A: Policy and Practiceen
dc.titleIs carbon regulation better than cash subsidy? The case of new energy vehiclesen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.tra.2021.01.018en
local.contributor.firstnameXiaoxien
local.contributor.firstnameRaymonden
local.contributor.firstnameMiaomiaoen
local.contributor.firstnameKaien
local.contributor.firstnameMinglunen
local.profile.schoolSchool of Science & Technologyen
local.profile.emailrchiong@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage170en
local.format.endpage192en
local.peerreviewedYesen
local.identifier.volume146en
local.contributor.lastnameZhuen
local.contributor.lastnameChiongen
local.contributor.lastnameWangen
local.contributor.lastnameLiuen
local.contributor.lastnameRenen
dc.identifier.staffune-id:rchiongen
local.profile.orcid0000-0002-8285-1903en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61389en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleIs carbon regulation better than cash subsidy? The case of new energy vehiclesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorZhu, Xiaoxien
local.search.authorChiong, Raymonden
local.search.authorWang, Miaomiaoen
local.search.authorLiu, Kaien
local.search.authorRen, Minglunen
local.uneassociationNoen
dc.date.presented2021-
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021en
local.year.presented2021en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/087384e6-320e-4005-9e8f-316d600c1fb6en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-23en
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School of Science and Technology
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