Economic growth and CO2 emissions: an investigation with smooth transition autoregressive distributed lag models for the 1800-2014 period in the USA

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dc.contributor.authorBildirici, Melike
dc.contributor.authorErsin, Ozgur Omer
dc.date.accessioned2024-03-13T10:30:51Z
dc.date.available2024-03-13T10:30:51Z
dc.date.issued2018
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractThe study aims to combine the autoregressive distributed lag (ARDL) cointegration framework with smooth transition autoregressive (STAR)-type nonlinear econometric models for causal inference. Further, the proposed STAR distributed lag (STARDL) models offer new insights in terms of modeling nonlinearity in the long- and short-run relations between analyzed variables. The STARDL method allows modeling and testing nonlinearity in the short-run and long-run parameters or both in the short- and long-run relations. To this aim, the relation between CO2 emissions and economic growth rates in the USA is investigated for the 1800-2014 period, which is one of the largest data sets available. The proposed hybrid models are the logistic, exponential, and second-order logistic smooth transition autoregressive distributed lag (LSTARDL, ESTARDL, and LSTAR2DL) models combine the STAR framework with nonlinear ARDL-type cointegration to augment the linear ARDL approach with smooth transitional nonlinearity. The proposed models provide a new approach to the relevant econometrics and environmental economics literature. Our results indicated the presence of asymmetric long-run and short-run relations between the analyzed variables that are from the GDP towards CO2 emissions. By the use of newly proposed STARDL models, the results are in favor of important differences in terms of the response of CO2 emissions in regimes 1 and 2 for the estimated LSTAR2DL and LSTARDL models.en_US
dc.identifier.doi10.1007/s11356-017-0244-3
dc.identifier.endpage219en_US
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue1en_US
dc.identifier.pmid28983717en_US
dc.identifier.scopus2-s2.0-85030660587en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage200en_US
dc.identifier.urihttps://doi.org/10.1007/s11356-017-0244-3
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3551
dc.identifier.volume25en_US
dc.identifier.wosWOS:000419608400023en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofEnvironmental Science And Pollution Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNonlinear time seriesen_US
dc.subjectCointegrationen_US
dc.subjectLSTAR-ARDLen_US
dc.subjectESTAR-ARDLen_US
dc.subjectEnvironmental economicsen_US
dc.subjectEnvironmental Kuznets curveen_US
dc.titleEconomic growth and CO2 emissions: an investigation with smooth transition autoregressive distributed lag models for the 1800-2014 period in the USAen_US
dc.typeArticleen_US

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