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dc.contributor.authorLyu, C
dc.contributor.authorScholtens, B
dc.date.accessioned2023-12-04T10:20:20Z
dc.date.issued2023-12-03
dc.date.updated2023-12-03T15:05:00Z
dc.description.abstractEmission Trading Schemes (ETSs) have become vital for meeting global emission reduction targets. They are gaining momentum, as witnessed by increasing market size and improving information mechanisms. Examining key emission markets — European Union, New Zealand, California, and Hubei (China) — from April 2014 to December 2021, a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model is applied to discern the markets' connectedness. In a novel approach to global carbon market research, this study uniquely combines the TVP-VAR with the connectedness approach, overcoming fixed parameters estimation and ensuring precise parameter estimates. The approach sheds light on patterns of total, directional, and net return/volatility spillovers, striving to identify which markets act as transmitters and which are receivers. Linking market spillovers to market characteristics, events, and policies offers insights for investors and policymakers. The total connectedness index of 10–12 % suggests a relatively low level of spillover, when compared to other market integration studies. The dynamic nature of return and volatility spillovers is evident, especially during the energy crisis and Covid-19 outbreak. The EU's ETS consistently acts as a net transmitter, predominantly in return connectedness, while New Zealand's ETS emerges as a major shock receiver in both return and volatility systems. Global climate negotiations and carbon market events have only a minor impact on the level of connectedness, in contrast to energy or financial crises and the Covid-19 outbreak. By highlighting the intricacies of carbon price volatility and market transmissions, the findings equip stakeholders with invaluable, actionable insights.en_GB
dc.identifier.citationVol. 191, article 114102en_GB
dc.identifier.doihttps://doi.org/10.1016/j.rser.2023.114102
dc.identifier.urihttp://hdl.handle.net/10871/134719
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en_GB
dc.subjectCarbon markets integrationen_GB
dc.subjectVolatility connectednessen_GB
dc.subjectTVP-VARen_GB
dc.subjectMarket risken_GB
dc.subjectEmission trading schemeen_GB
dc.subjectSpillover effectsen_GB
dc.titleIntegration of the international carbon market: A time-varying analysisen_GB
dc.typeArticleen_GB
dc.date.available2023-12-04T10:20:20Z
dc.identifier.issn1879-0690
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData availability: Data will be made available on request.en_GB
dc.identifier.eissn1879-0690
dc.identifier.journalRenewable and Sustainable Energy Reviewsen_GB
dc.relation.ispartofRenewable and Sustainable Energy Reviews, Volume 191, March 2024, 114102
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-11-13
dcterms.dateSubmitted2022-07-13
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-12-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-12-03T15:05:05Z
refterms.versionFCDAM
refterms.dateFOA2023-12-04T10:20:24Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-12-03


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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)