The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence

This paper proposes a new approach to examine the relationship between CO2 emissionsand economic developing. In particular, we propose to test the Environmental Kuznets Curve(EKC) hypothesis for a panel of24OECD countries and32non-OECD countries by developinga more flexible estimation technique whic...

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Detalles Bibliográficos
Autores: Soberón Velez, Alexandra Pilar|||0000-0001-5268-6751, D'Hers Sierra, Irene
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/20282
Acceso en línea:http://hdl.handle.net/10902/20282
Access Level:acceso abierto
Palabra clave:Environmental Kuznets curve
CO2 emissions
Cross-sectional dependence
Semi-parametric regression
Panel data
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spelling The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional DependenceSoberón Velez, Alexandra Pilar|||0000-0001-5268-6751 D'Hers Sierra, IreneEnvironmental Kuznets curveCO2 emissionsCross-sectional dependenceSemi-parametric regressionPanel dataThis paper proposes a new approach to examine the relationship between CO2 emissionsand economic developing. In particular, we propose to test the Environmental Kuznets Curve(EKC) hypothesis for a panel of24OECD countries and32non-OECD countries by developinga more flexible estimation technique which enables to account for functional form misspecification, cross-sectional dependence, and heterogeneous relationships among variables, simultaneously. We propose a new nonparametric estimator that extends the well-known Common CorrelatedEffect (CCE) approach from a fully parametric framework to a semiparametric panel data model. Our results corroborates that the nature and validity of the income-pollution relationship basedon the EKC hypothesis depends on the model assumptions about the functional form specification. For all the countries analyzed, the proposed semiparametric estimator leads to non-monotonicallyincreasing or decreasing relationships for CO2emissions, depending on the level of economicdevelopment of the country.The authors gratefully acknowledge financial support from the Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnolótico del Sistema de I+D+i y del Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/Spanish Ministry of Science and Innovation (Ref. PID2019-105986GB-C22) for the partial support of this work.MDPIUniversidad de Cantabria20202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/20282Journal of risk and financial management 2020, 13(11), 292reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/202822026-06-02T12:39:31Z
dc.title.none.fl_str_mv The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
title The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
spellingShingle The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
Soberón Velez, Alexandra Pilar|||0000-0001-5268-6751
Environmental Kuznets curve
CO2 emissions
Cross-sectional dependence
Semi-parametric regression
Panel data
title_short The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
title_full The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
title_fullStr The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
title_full_unstemmed The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
title_sort The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
dc.creator.none.fl_str_mv Soberón Velez, Alexandra Pilar|||0000-0001-5268-6751
D'Hers Sierra, Irene
author Soberón Velez, Alexandra Pilar|||0000-0001-5268-6751
author_facet Soberón Velez, Alexandra Pilar|||0000-0001-5268-6751
D'Hers Sierra, Irene
author_role author
author2 D'Hers Sierra, Irene
author2_role author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Environmental Kuznets curve
CO2 emissions
Cross-sectional dependence
Semi-parametric regression
Panel data
topic Environmental Kuznets curve
CO2 emissions
Cross-sectional dependence
Semi-parametric regression
Panel data
description This paper proposes a new approach to examine the relationship between CO2 emissionsand economic developing. In particular, we propose to test the Environmental Kuznets Curve(EKC) hypothesis for a panel of24OECD countries and32non-OECD countries by developinga more flexible estimation technique which enables to account for functional form misspecification, cross-sectional dependence, and heterogeneous relationships among variables, simultaneously. We propose a new nonparametric estimator that extends the well-known Common CorrelatedEffect (CCE) approach from a fully parametric framework to a semiparametric panel data model. Our results corroborates that the nature and validity of the income-pollution relationship basedon the EKC hypothesis depends on the model assumptions about the functional form specification. For all the countries analyzed, the proposed semiparametric estimator leads to non-monotonicallyincreasing or decreasing relationships for CO2emissions, depending on the level of economicdevelopment of the country.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/20282
url http://hdl.handle.net/10902/20282
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
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
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Journal of risk and financial management 2020, 13(11), 292
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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