Are CO<sub>2</sub> Emissions Stationary After All? New Evidence from Nonlinear Unit Root Tests

dc.contributor.author Romero-Avila, Diego
dc.contributor.author Omay, Tolga
dc.contributor.other Economics
dc.contributor.other 05. School of Business
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:17:39Z
dc.date.available 2024-07-05T15:17:39Z
dc.date.issued 2022
dc.description.abstract This 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. en_US
dc.description.sponsorship Spanish Ministry of Science, Innovation and Universities [ECO2017-86780-R]; Junta de Andalucia [grants number I+D+i project] [P20_00808, PAIDI SEJ-513] en_US
dc.description.sponsorship This work was supported by the Spanish Ministry of Science, Innovation and Universities [grant number ECO2017-86780-R, AEI/FEDER, UE]; and Junta de Andalucia [grants number I+D+i project P20_00808, PAIDI SEJ-513]. en_US
dc.identifier.doi 10.1007/s10666-022-09835-4
dc.identifier.issn 1420-2026
dc.identifier.issn 1573-2967
dc.identifier.scopus 2-s2.0-85130553155
dc.identifier.uri https://doi.org/10.1007/s10666-022-09835-4
dc.identifier.uri https://hdl.handle.net/20.500.14411/1752
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Environmental Modeling &amp; Assessment
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject CO2 emissions en_US
dc.subject Nonlinearities en_US
dc.subject Unit root en_US
dc.subject Time dependence en_US
dc.subject State dependence en_US
dc.subject LSTAR process en_US
dc.subject ESTAR process en_US
dc.subject AESTAR process en_US
dc.subject Structural breaks en_US
dc.title Are CO<sub>2</sub> Emissions Stationary After All? New Evidence from Nonlinear Unit Root Tests en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Omay, Tolga
gdc.author.scopusid 16032093400
gdc.author.scopusid 23978235900
gdc.author.wosid Romero-Ávila, Diego/K-4359-2017
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Romero-Avila, Diego] Pablo de Olavide Univ, Dept Econ, Ctra Utrera,Km 1, Seville, Spain; [Omay, Tolga] Atilim Univ, TR-06830 Ankara, Turkey en_US
gdc.description.endpage 643 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 621 en_US
gdc.description.volume 27 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W4281290755
gdc.identifier.wos WOS:000799068900001
gdc.oaire.diamondjournal false
gdc.oaire.impulse 10.0
gdc.oaire.influence 3.029719E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Unit Root
gdc.oaire.keywords State-dependence
gdc.oaire.keywords AESTAR process
gdc.oaire.keywords Nonlinearities
gdc.oaire.keywords Time-dependence
gdc.oaire.keywords Structural breaks
gdc.oaire.keywords ESTAR process
gdc.oaire.keywords CO2 emissions
gdc.oaire.keywords LSTAR process
gdc.oaire.popularity 9.97208E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.openalex.fwci 1.607
gdc.openalex.normalizedpercentile 1.0
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 8
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 4
gdc.plumx.scopuscites 8
gdc.scopus.citedcount 8
gdc.wos.citedcount 5
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