Daily Emissions of CO2 in the World : A Fractional Integration Approach

In this article, daily CO2 emissions for the years 2019–2022 are examined using fractional integration for Brazil, China, EU-27 (and the UK), India, and the USA. According to the findings, all series exhibit long memory mean-reversion tendencies, with orders of integration ranging between 0.22 in th...

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Detalles Bibliográficos
Autores: Gil-Alana, Luis Alberiko, Poza, Carlos
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Francisco de Vitoria
Repositorio:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
Idioma:inglés
OAI Identifier:oai:ddfv.ufv.es:10641/7166
Acceso en línea:https://hdl.handle.net/10641/7166
Access Level:acceso abierto
Palabra clave:CO emissions
fractional integration
long memory
persistence
Economics and Econometrics
Yes
yes
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spelling Daily Emissions of CO2 in the World : A Fractional Integration ApproachGil-Alana, Luis AlberikoPoza, CarlosCO emissionsfractional integrationlong memorypersistenceEconomics and EconometricsYesyesIn this article, daily CO2 emissions for the years 2019–2022 are examined using fractional integration for Brazil, China, EU-27 (and the UK), India, and the USA. According to the findings, all series exhibit long memory mean-reversion tendencies, with orders of integration ranging between 0.22 in the case of India (with white noise errors) and 0.70 for Brazil (under autocorrelated disturbances). Nevertheless, the differencing parameter estimates are all considerably below 1, which supports the theory of mean reversion and transient shocks. These results suggest the need for a greater intensification of green policies complemented with economic structural reforms to achieve the zero-emissions target by 2050.Facultad de Derecho, Empresa y Gobierno20252025-09-0120252025-09-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10641/7166reponame:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoriainstname:Universidad Francisco de VitoriaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddfv.ufv.es:10641/71662026-06-11T12:44:57Z
dc.title.none.fl_str_mv Daily Emissions of CO2 in the World : A Fractional Integration Approach
title Daily Emissions of CO2 in the World : A Fractional Integration Approach
spellingShingle Daily Emissions of CO2 in the World : A Fractional Integration Approach
Gil-Alana, Luis Alberiko
CO emissions
fractional integration
long memory
persistence
Economics and Econometrics
Yes
yes
title_short Daily Emissions of CO2 in the World : A Fractional Integration Approach
title_full Daily Emissions of CO2 in the World : A Fractional Integration Approach
title_fullStr Daily Emissions of CO2 in the World : A Fractional Integration Approach
title_full_unstemmed Daily Emissions of CO2 in the World : A Fractional Integration Approach
title_sort Daily Emissions of CO2 in the World : A Fractional Integration Approach
dc.creator.none.fl_str_mv Gil-Alana, Luis Alberiko
Poza, Carlos
author Gil-Alana, Luis Alberiko
author_facet Gil-Alana, Luis Alberiko
Poza, Carlos
author_role author
author2 Poza, Carlos
author2_role author
dc.contributor.none.fl_str_mv Facultad de Derecho, Empresa y Gobierno
dc.subject.none.fl_str_mv CO emissions
fractional integration
long memory
persistence
Economics and Econometrics
Yes
yes
topic CO emissions
fractional integration
long memory
persistence
Economics and Econometrics
Yes
yes
description In this article, daily CO2 emissions for the years 2019–2022 are examined using fractional integration for Brazil, China, EU-27 (and the UK), India, and the USA. According to the findings, all series exhibit long memory mean-reversion tendencies, with orders of integration ranging between 0.22 in the case of India (with white noise errors) and 0.70 for Brazil (under autocorrelated disturbances). Nevertheless, the differencing parameter estimates are all considerably below 1, which supports the theory of mean reversion and transient shocks. These results suggest the need for a greater intensification of green policies complemented with economic structural reforms to achieve the zero-emissions target by 2050.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-09-01
2025
2025-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10641/7166
url https://hdl.handle.net/10641/7166
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
instname:Universidad Francisco de Vitoria
instname_str Universidad Francisco de Vitoria
reponame_str DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
collection DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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