Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRJ |
Texto Completo: | http://hdl.handle.net/11422/13968 |
Resumo: | Indisponível. |
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Wanke, Peter FernandesChen, ZhongfeiZheng, XiAntunes, Jorge Junio Moreira2021-04-01T12:52:54Z2023-11-30T03:04:11Z2020-04-15WANKE,P.F.; CHEN, Z.; ZHENG, X.; ANTUNES, J.J.M. Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis. Journal of Environmental Management, v. 260, 110163, April 2020.0301-4797http://hdl.handle.net/11422/1396810.1016/j.jenvman.2020.110163Indisponível.This study focuses on the sustainability efficiency of the Chinese transportation system by investigating the relationship between CO2 emission levels and the respective freight and passenger turnovers for each transportation mode from January 1999 to December 2017. A novel Robust Bayesian Stochastic Frontier Analysis (RBSFA) is developed by taking carbon inequality into account. In this model, the aggregated variance/ covariance matrix for the three classical distributional assumptions of the inefficiency term – Gamma, Exponential, and Half-Normal – is minimized, yielding lower Deviance Information Criteria when compared to each classical assumption separately. Results are controlled for the impact of major macro-economic variables related to fiscal policy, monetary policy, inflationary pressure, and economic activity. Results indicate that the Chinese transportation system shows high sustainability efficiency with relatively small random fluctuations explained by macro-economic policies. Waterway, railway, and roadway transportation modes improved sustainability efficiency of freight traffic while only the railway transportation mode improved sustainability efficiency of passenger traffic. However, the air transportation mode decreased sustainability efficiency of both freight and passenger traffic. The present research helps in reaching governmental policies based not only on the internal dynamics of carbon inequality among different transportation modes, but also in terms of macro-economic impacts on the Chinese transportation sector.Submitted by Regina Cardoso (regina.cardoso@coppead.ufrj.br) on 2021-03-31T19:52:31Z No. of bitstreams: 1 PFWanke-min.pdf: 809854 bytes, checksum: 58f8a66b176954ac38825d10e31f6149 (MD5)Approved for entry into archive by Maria Luiza Jardim (luiza@sibi.ufrj.br) on 2021-04-01T12:52:54Z (GMT) No. of bitstreams: 1 PFWanke-min.pdf: 809854 bytes, checksum: 58f8a66b176954ac38825d10e31f6149 (MD5)Made available in DSpace on 2021-04-01T12:52:54Z (GMT). No. of bitstreams: 1 PFWanke-min.pdf: 809854 bytes, checksum: 58f8a66b176954ac38825d10e31f6149 (MD5) Previous issue date: 2020-04-15engElsevierBrasilInstituto COPPEAD de AdministraçãoJournal of Environmental ManagementCNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOSChinaTeoria bayesiana de decisão estatísticaTransportesSustentabilidadeAnálise estocásticaBayesian statistical decision theoryTransportsSustainabilityStochastic analysisSustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article260abertoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJORIGINALPFWanke-min.pdfPFWanke-min.pdfapplication/pdf809854http://pantheon.ufrj.br:80/bitstream/11422/13968/1/PFWanke-min.pdf58f8a66b176954ac38825d10e31f6149MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81853http://pantheon.ufrj.br:80/bitstream/11422/13968/2/license.txtdd32849f2bfb22da963c3aac6e26e255MD5211422/139682023-11-30 00:04:11.063oai:pantheon.ufrj.br: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Repositório de PublicaçõesPUBhttp://www.pantheon.ufrj.br/oai/requestopendoar:2023-11-30T03:04:11Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.pt_BR.fl_str_mv |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
title |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
spellingShingle |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis Wanke, Peter Fernandes CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOS China Teoria bayesiana de decisão estatística Transportes Sustentabilidade Análise estocástica Bayesian statistical decision theory Transports Sustainability Stochastic analysis |
title_short |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
title_full |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
title_fullStr |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
title_full_unstemmed |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
title_sort |
Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis |
author |
Wanke, Peter Fernandes |
author_facet |
Wanke, Peter Fernandes Chen, Zhongfei Zheng, Xi Antunes, Jorge Junio Moreira |
author_role |
author |
author2 |
Chen, Zhongfei Zheng, Xi Antunes, Jorge Junio Moreira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Wanke, Peter Fernandes Chen, Zhongfei Zheng, Xi Antunes, Jorge Junio Moreira |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOS |
topic |
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOS China Teoria bayesiana de decisão estatística Transportes Sustentabilidade Análise estocástica Bayesian statistical decision theory Transports Sustainability Stochastic analysis |
dc.subject.por.fl_str_mv |
China Teoria bayesiana de decisão estatística Transportes Sustentabilidade Análise estocástica |
dc.subject.eng.fl_str_mv |
Bayesian statistical decision theory Transports Sustainability Stochastic analysis |
description |
Indisponível. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020-04-15 |
dc.date.accessioned.fl_str_mv |
2021-04-01T12:52:54Z |
dc.date.available.fl_str_mv |
2023-11-30T03:04:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
WANKE,P.F.; CHEN, Z.; ZHENG, X.; ANTUNES, J.J.M. Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis. Journal of Environmental Management, v. 260, 110163, April 2020. |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/11422/13968 |
dc.identifier.issn.pt_BR.fl_str_mv |
0301-4797 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.1016/j.jenvman.2020.110163 |
identifier_str_mv |
WANKE,P.F.; CHEN, Z.; ZHENG, X.; ANTUNES, J.J.M. Sustainability efficiency and carbon inequality of the Chinese transportation system: a robust bayesian stochastic frontier analysis. Journal of Environmental Management, v. 260, 110163, April 2020. 0301-4797 10.1016/j.jenvman.2020.110163 |
url |
http://hdl.handle.net/11422/13968 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Journal of Environmental Management |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Instituto COPPEAD de Administração |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRJ instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
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Universidade Federal do Rio de Janeiro (UFRJ) |
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UFRJ |
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UFRJ |
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Repositório Institucional da UFRJ |
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Repositório Institucional da UFRJ |
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Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ) |
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1784097198107000832 |