Publication:
Are CO2 Emissions Stationary After All? New Evidence from Nonlinear Unit Root Tests

dc.contributor.authorRomero de Ávila Torrijos, Diego
dc.contributor.authorOmay, Tolga
dc.date.accessioned2024-03-21T11:02:34Z
dc.date.available2024-03-21T11:02:34Z
dc.date.issued2022-05-15
dc.descriptionThis study applies a large battery of state-of-the-art nonlinear unit root tests to examine the stationarity properties of carbon dioxide emission series for 28 industrialized countries, five BRICS and seven transition economies over a very long horizon, in some cases over more than two and a half centuries. The application of time-dependent and state-dependent nonlinear unit root tests separately provides mixed evidence regarding the time-series properties of CO2 emissions and a high degree of variability across the different tests. However, the use of hybrid nonlinear unit root tests, combining the presence of structural breaks with symmetric or asymmetric ESTAR adjustment, leads to the rejection of the unit root hypothesis in each of the countries under study with at least one of the hybrid tests. This has important climate policy implications.
dc.descriptionProyectos de investigación Spanish Ministry of Science, Innovation and Universities [grant number ECO2017-86780-R, AEI/FEDER, UE] Junta de Andalucía [grants number I+D+i project P20_00808, PAIDI SEJ-513]
dc.descriptionThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10666-022-09835-4
dc.descriptionhttps://v2.sherpa.ac.uk/id/publication/28212 https://www.springernature.com/gp/open-research/policies/journal-policies
dc.description.abstractThis study applies a large battery of state-of-the-art nonlinear unit root tests to examine the stationarity properties of carbon dioxide emission series for 28 industrialized countries, five BRICS and seven transition economies over a very long horizon, in some cases over more than two and a half centuries. The application of time-dependent and state-dependent nonlinear unit root tests separately provides mixed evidence regarding the time-series properties of CO2 emissions and a high degree of variability across the different tests. However, the use of hybrid nonlinear unit root tests, combining the presence of structural breaks with symmetric or asymmetric ESTAR adjustment, leads to the rejection of the unit root hypothesis in each of the countries under study with at least one of the hybrid tests. This has important climate policy implications.
dc.description.sponsorshipDepartamento de Economía, Métodos Cuantitativos e Historia Económica de la Universidad Pablo de Olavide
dc.format.mimetypeapplication/pdf
dc.identifier.citationEnvironmental Modeling & Assessment, Volume 27, pages 621–643, (2022).
dc.identifier.doi10.1007/s10666-022-09835-4
dc.identifier.urihttps://hdl.handle.net/10433/20376
dc.language.isoen
dc.publisherSpringer
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-86780-R/ES/PROPUESTAS DE MEJORA PARA LA ECONOMIA ESPAÑOLA: DESEMPLEO, EMPAREJAMIENTO LABORAL, REGULACION LABORAL, EFICIENCIA INSTITUCIONAL, CAPITAL SOCIAL Y CRECIMIENTO/
dc.rights.accessRightsopen access
dc.subjectCO2 emissions
dc.subjectNonlinearities
dc.subjectUnit Root
dc.subjectTime-dependence
dc.subjectState-dependence
dc.subjectLSTAR process
dc.subjectESTAR process
dc.subjectAESTAR process
dc.subjectStructural breaks
dc.titleAre CO2 Emissions Stationary After All? New Evidence from Nonlinear Unit Root Tests
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublicatione7d15afe-6788-4956-b15b-1ae03c142dea
relation.isAuthorOfPublication.latestForDiscoverye7d15afe-6788-4956-b15b-1ae03c142dea

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
s10666-022-09835-4.pdf
Size:
1.48 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
Environmental Modeling & Assessment.pdf
Size:
988.56 KB
Format:
Adobe Portable Document Format